CN114240467A - Order system and method for remote sensing product authenticity check service - Google Patents

Order system and method for remote sensing product authenticity check service Download PDF

Info

Publication number
CN114240467A
CN114240467A CN202111601100.6A CN202111601100A CN114240467A CN 114240467 A CN114240467 A CN 114240467A CN 202111601100 A CN202111601100 A CN 202111601100A CN 114240467 A CN114240467 A CN 114240467A
Authority
CN
China
Prior art keywords
product
order
authenticity
remote sensing
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111601100.6A
Other languages
Chinese (zh)
Other versions
CN114240467B (en
Inventor
黄祥志
王栋
扈紫豪
吴增巍
王更科
赵亚萌
刘瑞云
臧文乾
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongke Xingtong Langfang Information Technology Co ltd
Original Assignee
Zhongke Xingtong Langfang Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongke Xingtong Langfang Information Technology Co ltd filed Critical Zhongke Xingtong Langfang Information Technology Co ltd
Priority to CN202111601100.6A priority Critical patent/CN114240467B/en
Publication of CN114240467A publication Critical patent/CN114240467A/en
Application granted granted Critical
Publication of CN114240467B publication Critical patent/CN114240467B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Educational Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an order system and an order method for a remote sensing product authenticity check service, and belongs to the technical field of remote sensing product check. The invention comprises the following steps: the method comprises the following steps that a user selects the type of a product to be detected through an online system, the product to be detected is uploaded to a background file system, the background file system judges and processes the uploaded product to be detected, and a remote sensing authenticity checking order is created according to the judgment and processing results; step two: the inspector processes the remote sensing authenticity inspection order created by the user; step three: the examiner examines the remote sensing authenticity inspection order processing result given by the inspector, the authenticity inspection order created by the invention can greatly meet the requirement of a general user for executing authenticity inspection on a remote sensing image, the efficiency of butt joint with a professional inspector is improved, errors caused by offline manual interaction are avoided, different inspection steps are provided for different types of products to be inspected, and the unified processing of the order is facilitated.

Description

Order system and method for remote sensing product authenticity check service
Technical Field
The invention relates to the technical field of remote sensing product inspection, in particular to an order system and method of remote sensing product authenticity inspection service.
Background
Remote sensing refers to a non-contact and remote detection technology, remote sensing refers to detecting a target ground object under the condition of being far away from a target and a non-contact target object through an electromagnetic wave sensitive instrument such as a remote sensor, and authenticity inspection refers to a technology for inspecting authenticity of remote sensing data, remote sensing products and a remote sensing algorithm through field observation.
At present, the authenticity check of remote sensing products mainly comprises two modes, namely, the authenticity check is carried out by a user through relevant software and algorithms or the user entrusts a professional in the field to process the authenticity check through a offline mode, the user wants to check the authenticity of remote sensing images by the user, the user must have very high professional knowledge of the remote sensing field and mathematics, if the user entrusts the professional through the offline mode, the efficiency is low, the period is long, the expert in a certain field is difficult to find, meanwhile, because the inspection processes of different products have certain differences, therefore, different types of products need different information to be provided, cannot be processed by completely unified orders, and the specific reason that the remote sensing product authenticity check does not pass the check cannot be predicted according to the check result of the remote sensing product, so that the universal use of the remote sensing authenticity check service order system is not facilitated, and the check passing rate of the remote sensing product uploaded by a user is reduced.
Disclosure of Invention
The invention aims to provide an order system and an order method for remote sensing product authenticity check service, which aim to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an ordering method for a remote sensing product authenticity verification service, the method comprising the steps of:
the method comprises the following steps: the method comprises the following steps that a user selects the type of a product to be detected through an online system, the product to be detected is uploaded to a background file system, the background file system judges and processes the uploaded product to be detected, and a remote sensing authenticity checking order is created according to the judgment and processing results;
step two: the inspector processes the remote sensing authenticity inspection order created by the user;
step three: and the examiner examines the remote sensing authenticity inspection order processing result given by the examiner.
Further, the specific method for judging and processing the uploaded product to be tested by the background file system in the first step is as follows:
the method comprises the following steps that firstly, a background file system judges whether an uploaded product to be detected belongs to standard satellite remote sensing image data or not, if the product to be detected belongs to the standard satellite remote sensing image data, the file system reads a longitude and latitude range and a spatial resolution in the product to be detected, records of the read longitude and latitude range, the read spatial resolution and the product to be detected are stored in a background database, then, whether the uploaded product to be detected belongs to a qualitative product or not is judged again, and if the product to be detected does not belong to the standard satellite remote sensing image data, a user is reminded to upload the product to be detected again;
step one (II), if the product to be detected is judged to belong to the qualitative product in the step one (I), reading a pixel table of the product to be detected, generating a legend according to the read pixel table, if the product to be detected is judged not to belong to the qualitative product, not processing, and uploading the product to be detected to a file system after the judgment;
step one (III), after the product to be detected is uploaded successfully, a user inputs the image time of the product to be detected through an online system, and if the product to be detected belongs to a qualitative product, the user needs to fill in the type of the ground object matched with the product to be detected according to a pixel table read by the system and a generated legend;
step one (IV), a user can select related ground sample data, if the user clicks the related ground data, the system searches a background database for a ground sample data set meeting conditions according to the longitude and latitude range of a product to be detected and the image time of the product to be detected, if the product to be detected belongs to a quantitative product or a qualitative product, the user can also select a pixel level processing method and an authenticity inspection index, if the user does not select, an inspector uses default conditions, the qualitative product comprises a surface coverage type product, the quantitative product comprises a vegetation index, vegetation coverage, a leaf area index, water meter temperature, water chlorophyll, water surface water reflectivity, suspended matter concentration, aerosol optical thickness, atmospheric content, surface soil moisture, surface temperature, surface reflectivity, radiance and a brightness type product, and the inspector uses the default conditions to indicate that the user selects the pixel level processing method and the authenticity inspection index, the system automatically selects one of all processing methods and all inspection indexes as a default method and index;
step one (V), the user submits the order to an online system, the system checks the order content and then stores the checking order information to a background database, and the user is prompted to establish the remote sensing authenticity checking order successfully.
Further, the specific method for the inspector to perform online processing on the remote sensing authenticity check order created by the user in the step two is as follows:
secondly, inquiring the order to be checked by the checker through an order processing background system;
if the user does not select the sample set, the inspector associates the sample set in the time space range according to the image time and the latitude and longitude range of the remote sensing product, and then loads the sample points to a map, wherein the remote sensing product represents a product to be inspected which belongs to standard satellite remote sensing image data;
step two (III), the inspector observes the quantity and the distribution condition of the sample points in the sample set related in the step two (II), and for the uneven distribution of the sample points, the inspector can manually select a designated area and designate the number of samples;
step two (IV), a random sampling method is utilized, a specified number of sample points are extracted from the designated area manually framed and selected in step two (III), and an inspector manually selects or removes the sample points of the sampling result;
step two (V), repeating the step two (III) and the step two (IV) until sample points are ensured to be uniformly distributed in the space range of the product to be detected, the number of samples is not less than 10, and for geometric products, an inspector also needs to select and store the position homonymous points according to the image information of the product to be detected and the auxiliary image of ground actual measurement sample data;
and step II (VI), the system collects the product to be inspected, the order information and the sample data set, parameters such as a pixel level processing method or an authenticity inspection index selected by the system or a user are transmitted to a background in an interface mode, a background program drives a corresponding algorithm flow to process, and after the background processing flow of the system is finished, the related authenticity inspection result is automatically stored in a database to finish the inspection process.
Further, the specific method for the inspector to perform offline processing on the remote sensing authenticity check order created by the user in the second step is as follows:
secondly (1), the inspector inquires the order to be inspected through an order processing background system;
step two (2), if the user does not select the sample set, the inspector associates the sample set in the time space range according to the image time and the latitude and longitude range of the remote sensing product, and then loads the sample points to a map;
step two (3), executing the step (II) to the step (V);
step two (4), the system downloads the product to be inspected, the order information and the sample data set to the local inspector in the form of a packed file, and the inspector performs off-line processing, wherein the packed file comprises an inspection result input template of the order;
and step two (5), the inspector fills in the authenticity check result according to the format of the check result input template, selects the order through an order processing background system after filling, uploads a corresponding check result file, the system reads the check result file and stores the authenticity check result in a database to finish the check process.
Further, the concrete steps of the examiner in the third step of examining the remote sensing authenticity inspection order processing result given by the examiner are as follows:
step three (1), the order auditor audits whether the inspection result meets the user requirement and accords with the relevant standard of the inspection flow, if so, the inspection is passed, otherwise, the step three (2) is executed;
step three (2), analyzing the specific reasons that the remote sensing authenticity check order does not pass the audit by constructing a prediction model, and if the specific reasons do not meet the requirements of the user, calculating the satisfaction degree of the user, wherein the specific prediction analysis method comprises the following steps:
predicting the passing rate of each step of the inspection process, wherein a specific prediction formula E is as follows:
E＝λ*logaa1-n；
wherein, λ represents the verification passing rate of the step in the verification process predicted by the user, n represents the verification result of the examiner, when n is 1, the verification passing of the examiner is represented, and at this moment, logaa1-n0, when n is 0, it means that the examiner fails the examination, and log is presentaa1-nWhen E is equal to 0, the examiner passes the verification, and when E is equal to lambda, the examiner fails the verification;
constructing a user satisfaction degree prediction model Q, and then:
order to
Figure BDA0003433112250000041
Wherein i represents the total number of steps of the inspection flow when the inspector selects the on-line or off-line processing method, EiIndicating the verification result of the ith step in the verification flow,
Figure BDA0003433112250000042
when the inspection result of the examiner is not passed, whether the inspection result is satisfied with the user requirement is predicted, G is larger than or equal to 0, the inspection result of the ith step in the inspection flow does not satisfy the user requirement, G is smaller than 0, the inspection result of the ith step in the inspection flow satisfies the user requirement, the step which does not satisfy the user requirement is put into a set F, and F is { G ═ G }1、G2、…、GkAre multiplied by
Figure BDA0003433112250000043
Figure BDA0003433112250000044
Wherein m represents that the inspector selects the on-line or off-line processing mode, and when m is 1, the inspector selects the off-line processing mode, at this moment lnb1-mWhen m is 0, it indicates that the inspector selects the on-line processing mode, at lnb1-m＝1，5+ln b1 -mIndicates the total number of steps of the inspection flow when the inspector selects the online or offline processing method, i is 5+ ln b1-mK represents the number of times that the verification result in the verification process does not meet the requirement of the user,
Figure BDA0003433112250000045
indicates the total number of steps out of the total steps that do not meet the user's requirements,
Figure BDA0003433112250000046
indicating the probability that the result of the verification does not meet the user requirements,
Figure BDA0003433112250000047
representing the satisfaction degree of the user on the verification result;
and step three (3) adjusting corresponding steps in the system inspection flow based on the calculation and analysis result in the step three (2).
An order system of remote sensing product authenticity check service comprises an order creation management module, a check module, an audit module and an order check result query module;
the order creation management module is used for judging and analyzing the products to be checked uploaded by the user, guiding the user to perform corresponding processing according to the judgment and analysis result so that the user successfully creates an authenticity check order, and transmitting the created authenticity check order to the check module;
the checking module is used for receiving the authenticity checking order transmitted by the order creation management module, the inspector selects an online or offline processing mode, the inspector performs authenticity checking on a product to be checked according to a selection result, the authenticity of the product is checked based on a processing method or a checking index selected by a user or defaulted by a system, and the checking result is transmitted to the auditing module;
the auditing module is used for receiving the inspection result transmitted by the inspection module, an order auditor judges whether the created remote sensing authenticity inspection order meets the user requirements and accords with the relevant standards of the inspection process according to the inspection result, the order which accords with the requirements passes auditing, otherwise, the order does not pass auditing, and the auditing result is transmitted to the order inspection result query module;
the order checking result query module is used for receiving the checking result transmitted by the checking module, storing the received checking result into a database, and checking the remote sensing authenticity checking order checking result of the uploaded product by a user through an online system.
Further, the order creation management module comprises a product to be inspected uploading unit, a remote sensing product information automatic reading unit, a ground sample data retrieval unit and an authenticity inspection order creation unit;
the remote sensing product information automatic reading unit is used for reading the remote sensing product information, uploading the product to be detected to the background file system by the product uploading unit to be detected, judging whether the product to be detected belongs to the standard image data or not by the background file system, if not, reminding a user to upload the product to be detected again, and transmitting the judgment result to the remote sensing product information automatic reading unit;
the remote sensing product information automatic reading unit receives the judgment result transmitted by the product uploading unit to be inspected, if the product to be inspected belongs to standard image data, the latitude and longitude range and the spatial resolution of the product to be inspected are read, if the product to be inspected which belongs to the standard image data belongs to qualitative products, the pixel table and the legend of the product to be inspected are read, the ground feature type matched with the product to be inspected is filled according to the read information, the read information and the record of the product are stored in a database, after the product to be inspected is successfully uploaded by a user, the image time of the product to be inspected is input through an online system, the successful information uploaded by the user, the latitude and longitude range and the image time of the product to be inspected are transmitted to a ground sample data retrieval unit, the qualitative products comprise ground surface covering type products, and the standard image data refer to standard TIFF format data, the resolution and longitude and latitude range attributes of the product can be read through a grid space data conversion class library, a pixel table represents that all pixel values of a qualitative product to be inspected are read through a GDAL library and are aggregated according to the size of the pixel values, and a pixel value enumeration table of the product is formed;
the ground sample data retrieval unit receives the information transmitted by the remote sensing product information automatic reading unit, a user selects whether to correlate ground sample data according to the received information, if the user clicks correlated ground data, the system retrieves a ground sample data set meeting conditions from a background database according to the longitude and latitude range and the image time of the product to be inspected, the user can select a pixel level processing method and an authenticity inspection index for qualitative and quantitative products, and transmits the selection result to the authenticity inspection order creation unit, the geometric products comprise orthographic and elevation products, the quantitative products comprise vegetation indexes, vegetation coverage, leaf area indexes, water meter temperature, water chlorophyll, water body abscission reflectivity, suspended matter concentration, aerosol optical thickness, atmospheric water vapor content, surface soil moisture, surface temperature, Surface reflectivity, radiance and brightness temperature products;
the authenticity check order creating unit receives the selection result transmitted by the ground sample data retrieval unit, generates a remote sensing authenticity check order based on the selection result, stores information of the remote sensing authenticity check order into a database, reminds a user of successful order creation, and transmits the created remote sensing authenticity check order to the check module.
Furthermore, the inspection module comprises an inspection order retrieval processing unit, an execution preparation unit, an inspection unit and an inspection result uploading unit;
the remote sensing authenticity check order transmitted by the authenticity check order creating unit is received by the check order retrieval processing unit, an inspector obtains order information through the check order retrieval processing unit and transmits the obtained order information to the check unit, and the order information comprises information of a product to be checked, image time of the product to be checked and surface feature type names represented by different pixel values selected by qualitative products according to color legends;
the execution preparation unit requires an inspector to use a default processing method and inspection indexes for an order of unselected associated ground sample data according to the image time and longitude and latitude range of a remote sensing product as an associated sample set of a product to be inspected, loads sample points on a map, requires the inspector to use a default processing method and inspection indexes for the order of unselected pixel level processing method and authenticity inspection indexes, and for a geometric product, the inspector needs to select and store a position homonymy point according to the image information of the product to be inspected and an auxiliary image of a ground actual measurement sample, and transmits parameters such as the selected pixel level processing method, the authenticity inspection indexes and the sample data set to the inspection unit, wherein the default processing method and the inspection indexes are used because different products are suitable for different pixel level processing methods and can calculate different authenticity inspection indexes, and one product can also correspond to a plurality of selectable methods or a plurality of authenticity inspection indexes, in order to ensure data uniformity, a post-default pixel level processing method and inspection indexes are used on the premise that a user does not manually select the pixel level processing method;
the inspection unit receives order information transmitted by the inspection order retrieval processing unit, parameters such as a pixel level processing method and an authenticity inspection index transmitted by the execution preparation unit and a sample data set, an inspector processes received contents in an online processing or offline processing mode and transmits an order authenticity inspection result obtained after processing to the inspection result uploading unit;
the checking result uploading unit receives the checking result transmitted by the checking unit, the system automatically stores the related authenticity checking result into the database for the authenticity checking order processed on line, the inspector selects the order through the order processing background system for the authenticity checking order processed off line and uploads the corresponding checking result file, the system reads the checking result file, stores the authenticity checking result into the database and transmits the authenticity checking result stored into the database to the auditing module.
Further, the auditing module comprises an auditing unit, a predicting unit and an adjusting unit;
the auditing unit receives the authenticity verifying result transmitted by the verifying result uploading unit, the examiner audits the received authenticity verifying result, if the auditing result meets the user requirement and accords with the relevant standard of the verifying process, the auditing is passed, otherwise, the auditing is not passed, and the auditing result is transmitted to the predicting unit and the order verifying result inquiring module;
the prediction unit receives the auditing result transmitted by the auditing unit, if the created remote sensing authenticity check order does not pass the auditing, the specific reason that the remote sensing authenticity check order does not pass the auditing is analyzed by constructing a prediction model, if the requirement of the user is not met, the satisfaction degree of the user is calculated, and the analysis and calculation results are transmitted to the adjusting unit;
the adjusting unit receives the analysis and calculation results transmitted by the prediction unit and adjusts the order creation management module and the verification module based on the received contents.
Further, the order checking result query module receives the checking result transmitted by the checking unit, the received checking result is stored in the database, and the user checks the remote sensing authenticity of the uploaded product through the online system to check the order checking result.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention guides the user to upload the product to be inspected again or judges whether the product to be inspected belongs to qualitative products by selecting matched inspection order types according to the types of the remote sensing products and judging whether the product to be inspected belongs to standard image data, reads the latitude and longitude range, the spatial resolution and the pixel table of the product to be inspected based on the two judgment results, establishes the authenticity inspection order according to the read information, the image time uploaded by the user and the selected processing method, can greatly meet the requirement of performing authenticity inspection on the remote sensing images by general users, improves the efficiency of butt joint with professional inspectors, and avoids errors caused by offline manual interaction.
2. The invention judges the type of the uploaded product when creating the remote sensing authenticity check order, ensures that the user provides complete information of the product to be checked, provides different check steps for different types of products to be checked, is beneficial to the unified processing of the order and further increases the application range of an order system.
3. According to the remote sensing product verification method and the remote sensing product verification system, the prediction model is built according to the verification result of the remote sensing product, the specific reason that the remote sensing product authenticity verification does not pass the verification is analyzed based on the prediction model, if the requirement of the user is not met, the satisfaction degree of the user is calculated, and the system is adjusted according to the analysis and calculation results, so that the adjusted order system is beneficial to the universal use of the remote sensing authenticity verification service order system, and the verification passing rate of the remote sensing product uploaded by the user is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic workflow diagram of an order system and method of a remote sensing product authenticity verification service of the present invention;
FIG. 2 is a schematic diagram of a remote sensing authenticity verification order creation flow of an order system and method of a remote sensing product authenticity verification service of the present invention;
FIG. 3 is a schematic diagram of an inspector authenticity proofing order process flow of an order system and method of a remote sensing product authenticity proofing service of the present invention;
fig. 4 is a schematic view of the processing flow of the order for checking the authenticity of the examiner in the order system and method for checking the authenticity of the remote sensing product according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: an ordering method for a remote sensing product authenticity verification service, the method comprising the steps of:
the method comprises the following steps: the user selects the type of the product to be detected through the online system, uploads the product to be detected to the background file system, the background file system judges and processes the uploaded product to be detected, and creates a remote sensing authenticity inspection order according to the judgment and processing result, and the specific method for judging and processing the uploaded product to be detected by the background file system in the step one is as follows:
the method comprises the following steps that firstly, a background file system judges whether an uploaded product to be detected belongs to standard satellite remote sensing image data or not, if the product to be detected belongs to the standard satellite remote sensing image data, the file system reads a longitude and latitude range and a spatial resolution in the product to be detected, records of the read longitude and latitude range, the read spatial resolution and the product to be detected are stored in a background database, then, whether the uploaded product to be detected belongs to a qualitative product or not is judged again, and if the product to be detected does not belong to the standard satellite remote sensing image data, a user is reminded to upload the product to be detected again;
step one (II), if the product to be detected is judged to belong to the qualitative product in the step one (I), reading a pixel table of the product to be detected, generating a legend according to the read pixel table, if the product to be detected is judged not to belong to the qualitative product, not processing, and uploading the product to be detected to a file system after the judgment;
step one (III), after the product to be detected is uploaded successfully, a user inputs the image time of the product to be detected through an online system, and if the product to be detected belongs to a qualitative product, the user needs to fill in the type of the ground object matched with the product to be detected according to a pixel table read by the system and a generated legend;
step one (IV), a user can select related ground sample data, if the user clicks the related ground data, the system searches a background database for a ground sample data set meeting conditions according to the longitude and latitude range of a product to be detected and the image time of the product to be detected, if the product to be detected belongs to a quantitative product or a qualitative product, the user can also select a pixel level processing method and an authenticity inspection index, if the user does not select, an inspector uses default conditions, the qualitative product comprises a surface coverage type product, the quantitative product comprises a vegetation index, vegetation coverage, a leaf area index, water meter temperature, water chlorophyll, water surface water reflectivity, suspended matter concentration, aerosol optical thickness, atmospheric content, surface soil moisture, surface temperature, surface reflectivity, radiance and a brightness type product, and the inspector uses the default conditions to indicate that the user selects the pixel level processing method and the authenticity inspection index, the system automatically selects one of all processing methods and all inspection indexes as a default method and index;
step one (V), a user submits an order to an online system, the system checks the content of the order and then stores checking order information to a background database, and the user is prompted to establish a successful remote sensing authenticity checking order;
step two: the inspector processes the remote sensing authenticity inspection order created by the user, and the specific method for the inspector to perform online processing on the remote sensing authenticity inspection order created by the user in the step two is as follows:
secondly, inquiring the order to be checked by the checker through an order processing background system;
if the user does not select the sample set, the inspector associates the sample set in the time space range according to the image time and the latitude and longitude range of the remote sensing product, and then loads the sample points to a map, wherein the remote sensing product represents a product to be inspected which belongs to standard satellite remote sensing image data;
step two (III), the inspector observes the quantity and the distribution condition of the sample points in the sample set related in the step two (II), and for the uneven distribution of the sample points, the inspector can manually select a designated area and designate the number of samples;
step two (IV), a random sampling method is utilized, a specified number of sample points are extracted from the designated area manually framed and selected in step two (III), and an inspector manually selects or removes the sample points of the sampling result;
step two (V), repeating the step two (III) and the step two (IV) until sample points are ensured to be uniformly distributed in the space range of the product to be detected, the number of samples is not less than 10, and for geometric products, an inspector also needs to select and store the position homonymous points according to the image information of the product to be detected and the auxiliary image of ground actual measurement sample data;
step two (VI), the system gathers the products to be inspected, order information and sample data sets, parameters such as a pixel level processing method or authenticity inspection indexes selected by the system or a user are transmitted to a background in an interface mode, a background program drives a corresponding algorithm flow to process, and after the background processing flow of the system is finished, relevant authenticity inspection results are automatically stored in a database to finish the inspection process;
the specific method for the inspector to perform off-line processing on the remote sensing authenticity inspection order established by the user in the step two is as follows:
secondly (1), the inspector inquires the order to be inspected through an order processing background system;
step two (2), if the user does not select the sample set, the inspector associates the sample set in the time space range according to the image time and the latitude and longitude range of the remote sensing product, and then loads the sample points to a map;
step two (3), executing the step (II) to the step (V);
step two (4), the system downloads the product to be inspected, the order information and the sample data set to the local inspector in the form of a packed file, and the inspector performs off-line processing, wherein the packed file comprises an inspection result input template of the order;
step two (5), the inspector fills in the authenticity check result according to the format of the check result input template, selects the order through an order processing background system after filling, uploads a corresponding check result file, the system reads the check result file and stores the authenticity check result in a database to finish the check process;
step three: the examiner examines the remote sensing authenticity check order processing result given by the examiner, and the specific steps of examining the remote sensing authenticity check order processing result given by the examiner in the step three are as follows:
step three (1), the order auditor audits whether the inspection result meets the user requirement and accords with the relevant standard of the inspection flow, if so, the inspection is passed, otherwise, the step three (2) is executed;
step three (2), analyzing the specific reasons that the remote sensing authenticity check order does not pass the audit by constructing a prediction model, and if the specific reasons do not meet the requirements of the user, calculating the satisfaction degree of the user, wherein the specific prediction analysis method comprises the following steps:
predicting the passing rate of each step of the inspection process, wherein a specific prediction formula E is as follows:
E＝λ*logaa1-n；
wherein, λ represents the verification passing rate of the step in the verification process predicted by the user, n represents the verification result of the examiner, when n is 1, the verification passing of the examiner is represented, and at this moment, logaa1-n0, when n is 0, it means that the examiner fails the examination, and log is presentaa1-nWhen E is equal to 0, the examiner passes the verification, and when E is equal to lambda, the examiner fails the verification;
constructing a user satisfaction degree prediction model Q, and then:
order to
Figure BDA0003433112250000101
Wherein i represents the total number of steps of the inspection flow when the inspector selects the on-line or off-line processing method, EiIndicating the verification result of the ith step in the verification flow,
Figure BDA0003433112250000111
when the inspection result of the examiner is not passed, whether the inspection result is satisfied with the user requirement is predicted, G is larger than or equal to 0, the inspection result of the ith step in the inspection flow does not satisfy the user requirement, G is smaller than 0, the inspection result of the ith step in the inspection flow satisfies the user requirement, the step which does not satisfy the user requirement is put into a set F, and F is { G ═ G }1、G2、…、GkAre multiplied by
Figure BDA0003433112250000112
Figure BDA0003433112250000113
Wherein m represents that the inspector selects the on-line or off-line processing mode, and when m is 1, the inspector selects the off-line processing mode, at this moment lnb1-mWhen m is 0, it indicates that the inspector selects the on-line processing mode, at lnb1-m＝1，5+ln b1 -mIndicates the total number of steps of the inspection flow when the inspector selects the online or offline processing method, i is 5+ ln b1-mK represents the number of times that the verification result in the verification process does not meet the requirement of the user,
Figure BDA0003433112250000114
indicates the total number of steps out of the total steps that do not meet the user's requirements,
Figure BDA0003433112250000115
indicating the probability that the result of the verification does not meet the user requirements,
Figure BDA0003433112250000116
representing the satisfaction degree of the user on the verification result;
and step three (3) adjusting corresponding steps in the system inspection flow based on the calculation and analysis result in the step three (2).
An order system of remote sensing product authenticity verification service comprises an order creation management module S1, a verification module S2, an auditing module S3 and an order verification result query module S4;
the order creation management module S1 is used for judging and analyzing the products to be checked uploaded by the user, guiding the user to perform corresponding processing according to the judgment and analysis result so that the user successfully creates an authenticity check order, and transmitting the created authenticity check order to the check module S2; the order creation management module S1 comprises a to-be-inspected product uploading unit S11, a remote sensing product information automatic reading unit S12, a ground sample data retrieval unit S13 and an authenticity inspection order creation unit S14;
the product to be detected uploading unit S11 uploads the product to be detected to a background file system, the background file system judges whether the product to be detected belongs to standard image data, if not, the user is reminded to upload the product to be detected again, and the judgment result is transmitted to the remote sensing product information automatic reading unit S12; the remote sensing product information automatic reading unit S12 receives the judgment result transmitted by the product uploading unit S11, if the product to be inspected belongs to the standard image data, the latitude and longitude range and the spatial resolution of the product to be inspected are read, if the product to be inspected belonging to the standard image data belongs to the qualitative product, the pixel table and the legend of the product to be inspected are read, the ground feature type matched with the product to be inspected is filled according to the read information, the read information and the record of the product are stored in the database, after the product to be inspected is successfully uploaded by the user, the image time of the product to be inspected is input through the online system, then the successful information uploaded by the user, the latitude and longitude range and the image time of the product to be inspected are transmitted to the ground sample data retrieval unit S13, the qualitative product comprises a ground surface covering type product, and the standard image data refers to the standard TIFF format data, the resolution and longitude and latitude range attributes of the product can be read through a grid space data conversion class library, a pixel table represents that all pixel values of a qualitative product to be inspected are read through a GDAL library and are aggregated according to the size of the pixel values, and a pixel value enumeration table of the product is formed; the ground sample data retrieval unit S13 receives the information transmitted by the remote sensing product information automatic reading unit S12, the user selects whether to associate ground sample data according to the received information, if the user clicks the associated ground data, the system retrieves the ground sample data set meeting the conditions from the background database according to the latitude and longitude range and the image time of the product to be inspected, the user can select a pixel level processing method and an authenticity inspection index for qualitative and quantitative products, and transmits the selection result to the authenticity inspection order creating unit S14, the geometric products comprise normal incidence and elevation products, the quantitative products comprise vegetation indexes, vegetation coverage, leaf area indexes, water meter temperatures, water chlorophyll, water-leaving reflectivity, suspended matter concentration, aerosol optical thickness, atmospheric water vapor content, surface soil moisture, surface temperature, Surface reflectivity, radiance and brightness temperature products; the authenticity check order creating unit S14 receives the selection result transmitted by the ground sample data retrieval unit S13, generates a remote sensing authenticity check order based on the selection result, stores remote sensing authenticity check order information in a database, reminds a user of successful order creation, and transmits the created remote sensing authenticity check order to the check module S2.
The verifying module S2 is used for receiving the authenticity verifying order transmitted by the order creation management module S1, the verifier selects an online or offline processing mode, the verifier executes authenticity verification of the product to be verified according to the selection result, verifies the authenticity of the product based on a processing method or a verification index selected by a user or defaulted by a system, and transmits the verification result to the verifying module S3; the proofing module S2 includes a proofing order retrieval processing unit S21, an execution preparation unit S22, a proofing unit S23, and a proofing result upload unit S24;
the inspection order retrieval processing unit S21 receives the remote sensing authenticity inspection order transmitted by the authenticity inspection order creation unit S14, the inspector obtains order information through the inspection order retrieval processing unit S21 and transmits the obtained order information to the inspection unit S23, and the order information comprises information of a product to be inspected, image time of the product to be inspected and surface feature type names represented by different pixel values selected by qualitative products according to color legends; the execution preparation unit S22 requires the inspector to use the default processing method and inspection index for the order of unselected associated ground sample data, according to the image time and longitude and latitude range of the remote sensing product, and load the sample points on the map, and requires the system to use the default processing method and inspection index for the order of unselected pixel level processing method and authenticity inspection index, for the geometry type product, the inspector needs to select and store the location same name point according to the image information of the product to be inspected and the auxiliary image of the ground actual measurement sample, and transmit the selected pixel level processing method and authenticity inspection index and other parameters and sample data set to the inspection unit S23, and the default processing method and inspection index are used because different products are suitable for different pixel level processing methods and can calculate different authenticity inspection indexes, and a product can also correspond to multiple optional methods or multiple authenticity inspection indexes, in order to ensure data uniformity, a post-default pixel level processing method and inspection indexes are used on the premise that a user does not manually select the pixel level processing method; the inspection unit S23 receives the order information transmitted by the inspection order retrieval processing unit S21, and parameters and sample data sets such as the pixel level processing method and the authenticity inspection index transmitted by the execution preparation unit S22, and the inspector processes the received content by online processing or offline processing, and transmits the processed order authenticity inspection result to the inspection result uploading unit S24; the inspection result uploading unit S24 receives the inspection result transmitted by the inspection unit S23, and for the online processed authenticity inspection order, the system automatically stores the relevant authenticity inspection result in the database, and for the offline processed authenticity inspection order, the inspector needs to select the order through the order processing background system, and upload the corresponding inspection result file, and the system reads the inspection result file, and stores the authenticity inspection result in the database, and transmits the authenticity inspection result stored in the database to the auditing module S3.
The auditing module S3 is used for receiving the inspection result transmitted by the inspection module S2, and the order auditor judges whether the created remote sensing authenticity inspection order meets the user requirements and accords with the relevant standards of the inspection process according to the inspection result, and passes the audit on the order which accords with the requirements, otherwise, the order does not pass the audit, and transmits the audit result to the order inspection result query module S4; the audit module S3 includes an audit unit S31, a prediction unit S32, and an adjustment unit S33; the checking unit S31 receives the authenticity checking result transmitted by the checking result uploading unit S24, the examiner checks the received authenticity checking result, if the checking result meets the user requirement and accords with the relevant standard of the checking process, the checking is passed, otherwise, the checking is not passed, and the checking result is transmitted to the prediction unit S32 and the order checking result query module S4; the prediction unit S32 receives the auditing result transmitted by the auditing unit S31, if the created remote sensing authenticity check order does not pass the auditing, the specific reason that the remote sensing authenticity check order does not pass the auditing is analyzed by constructing a prediction model, if the requirement of the user is not met, the satisfaction degree of the user is calculated, and the analysis and calculation result is transmitted to the adjusting unit S33; the adjustment unit S33 receives the analysis and calculation results transmitted from the prediction unit S32, and adjusts the order creation management module S1 and the proofing module S2 based on the received contents.
The order checking result query module S4 is configured to receive the audit result transmitted by the audit unit S31, store the received audit result in a database, and check the remote sensing authenticity checking order checking result of the uploaded product through an online system by the user.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An order method of a remote sensing product authenticity check service, characterized in that: the method comprises the following steps:
the method comprises the following steps: the method comprises the following steps that a user selects the type of a product to be detected through an online system, the product to be detected is uploaded to a background file system, the background file system judges and processes the uploaded product to be detected, and a remote sensing authenticity checking order is created according to the judgment and processing results;
step two: the inspector processes the remote sensing authenticity inspection order created by the user;
step three: and the examiner examines the remote sensing authenticity inspection order processing result given by the examiner.
2. The ordering method for a remote sensing product authenticity verification service according to claim 1, wherein: the specific method for judging and processing the uploaded product to be detected by the background file system in the first step is as follows:
the method comprises the following steps that firstly, a background file system judges whether an uploaded product to be detected belongs to standard satellite remote sensing image data or not, if the product to be detected belongs to the standard satellite remote sensing image data, the file system reads a longitude and latitude range and a spatial resolution in the product to be detected, records of the read longitude and latitude range, the read spatial resolution and the product to be detected are stored in a background database, then, whether the uploaded product to be detected belongs to a qualitative product or not is judged again, and if the product to be detected does not belong to the standard satellite remote sensing image data, a user is reminded to upload the product to be detected again;
step one (II), if the product to be detected is judged to belong to the qualitative product in the step one (I), reading a pixel table of the product to be detected, generating a legend according to the read pixel table, if the product to be detected is judged not to belong to the qualitative product, not processing, and uploading the product to be detected to a file system after the judgment;
step one (III), after the product to be detected is uploaded successfully, a user inputs the image time of the product to be detected through an online system, and if the product to be detected belongs to a qualitative product, the user needs to fill in the type of the ground object matched with the product to be detected according to a pixel table read by the system and a generated legend;
step one (IV), a user can select associated ground sample data, if the user clicks the associated ground data, the system searches a background database for a ground sample data set meeting conditions according to the longitude and latitude range of a product to be detected and the image time of the product to be detected, if the product to be detected belongs to a quantitative product or a qualitative product, the user can also select a pixel level processing method and an authenticity inspection index, and if the user does not select, an inspector uses a default condition;
step one (V), the user submits the order to an online system, the system checks the order content and then stores the checking order information to a background database, and the user is prompted to establish the remote sensing authenticity checking order successfully.
3. The ordering method for a remote sensing product authenticity verification service according to claim 1, wherein: the specific method for the inspector to perform online processing on the remote sensing authenticity inspection order established by the user in the step two is as follows:
secondly, inquiring the order to be checked by the checker through an order processing background system;
if the user does not select the sample set, the inspector associates the sample set in the time space range according to the image time and the latitude and longitude range of the remote sensing product, and then loads the sample points to a map;
step two (III), the inspector observes the quantity and the distribution condition of the sample points in the sample set related in the step two (II), and for the uneven distribution of the sample points, the inspector can manually select a designated area and designate the number of samples;
step two (IV), a random sampling method is utilized, a specified number of sample points are extracted from the designated area manually framed and selected in step two (III), and an inspector manually selects or removes the sample points of the sampling result;
step two (V), repeating the step two (III) and the step two (IV) until sample points are ensured to be uniformly distributed in the space range of the product to be detected, the number of samples is not less than 10, and for geometric products, an inspector also needs to select and store the position homonymous points according to the image information of the product to be detected and the auxiliary image of ground actual measurement sample data;
and step II (VI), the system collects the product to be inspected, the order information and the sample data set, parameters such as a pixel level processing method or an authenticity inspection index selected by the system or a user are transmitted to a background in an interface mode, a background program drives a corresponding algorithm flow to process, and after the background processing flow of the system is finished, the related authenticity inspection result is automatically stored in a database to finish the inspection process.
4. A method of ordering a remote sensing product authenticity verification service according to claim 3, wherein: the specific method for the inspector to perform off-line processing on the remote sensing authenticity inspection order established by the user in the step two is as follows:
secondly (1), the inspector inquires the order to be inspected through an order processing background system;
step two (2), if the user does not select the sample set, the inspector associates the sample set in the time space range according to the image time and the latitude and longitude range of the remote sensing product, and then loads the sample points to a map;
step two (3), executing the step (II) to the step (V);
step two (4), the system downloads the product to be inspected, the order information and the sample data set to the local inspector in the form of a packed file, and the inspector performs off-line processing, wherein the packed file comprises an inspection result input template of the order;
and step two (5), the inspector fills in the authenticity check result according to the format of the check result input template, selects the order through an order processing background system after filling, uploads a corresponding check result file, the system reads the check result file and stores the authenticity check result in a database to finish the check process.
5. The ordering method for a remote sensing product authenticity verification service according to claim 4, wherein: the method comprises the following steps that in the third step, the examiner examines the remote sensing authenticity examination order processing result given by the examiner, and the method comprises the following specific steps:
step three (1), the order auditor audits whether the inspection result meets the user requirement and accords with the relevant standard of the inspection flow, if so, the inspection is passed, otherwise, the step three (2) is executed;
step three (2), analyzing the specific reasons that the remote sensing authenticity check order does not pass the audit by constructing a prediction model, and if the specific reasons do not meet the requirements of the user, calculating the satisfaction degree of the user, wherein the specific prediction analysis method comprises the following steps:
predicting the passing rate of each step of the inspection process, wherein a specific prediction formula E is as follows:
E＝λ*logaa1-n；
wherein, λ represents the verification passing rate of the step in the verification process predicted by the user, and n represents the verification result of the examiner;
constructing a user satisfaction degree prediction model Q, and then:
order to
Figure FDA0003433112240000031
Wherein i represents the total number of steps of the inspection flow when the inspector selects the on-line or off-line processing method, EiRepresenting the checking result of the ith step in the checking flow;
Figure FDA0003433112240000032
wherein, m represents that the inspector selects the on-line or off-line processing mode, when m is 1, the inspector selects the off-line processing mode, and in this case, ln b1-mWhen m is 0, it indicates that the inspector selects the on-line processing mode, and in this case, ln b1-m＝1；
And step three (3) adjusting corresponding steps in the system inspection flow based on the calculation and analysis result in the step three (2).
6. An order system of a remote sensing product authenticity verification service, characterized in that: comprises an order creation management module (S1), a checking module (S2), an auditing module (S3) and an order checking result query module (S4);
the order creation management module (S1) is used for judging and analyzing the products to be checked uploaded by the user, guiding the user to perform corresponding processing according to the judgment and analysis result so that the user successfully creates an authenticity check order, and transmitting the created authenticity check order to the checking module (S2);
the verifying module (S2) is used for receiving the authenticity verification order transmitted by the order creation management module (S1), the verifier selects an online or offline processing mode, the verifier performs authenticity verification of the product to be verified according to the selection result, verifies the authenticity of the product based on a processing method or verification index selected by a user or defaulted by a system, and transmits the verification result to the auditing module (S3);
the auditing module (S3) is used for receiving the inspection result transmitted by the inspection module (S2), an order auditor judges whether the created remote sensing authenticity inspection order meets the user requirement and accords with the relevant standard of the inspection process according to the inspection result, the order which accords with the requirement passes the auditing, otherwise, the order does not pass the auditing, and the auditing result is transmitted to the order inspection result query module (S4);
the order checking result query module (S4) is used for receiving the checking result transmitted by the checking module (S3), storing the received checking result in a database, and checking the remote sensing authenticity checking order checking result of the uploaded product by a user through an online system.
7. The ordering system for the remote sensing product authenticity verification service according to claim 6, wherein: the order creation management module (S1) comprises a to-be-inspected product uploading unit (S11), a remote sensing product information automatic reading unit (S12), a ground sample data retrieval unit (S13) and an authenticity inspection order creation unit (S14);
the uploading unit (S11) of the product to be detected uploads the product to be detected to a background file system, the background file system judges whether the product to be detected belongs to standard image data, if not, the user is reminded to upload the product to be detected again, and the judgment result is transmitted to the automatic remote sensing product information reading unit (S12);
the remote sensing product information automatic reading unit (S12) receives the judgment result transmitted by the product uploading unit (S11) to be inspected, if the product to be inspected belongs to standard image data, the longitude and latitude range and the spatial resolution of the product to be inspected are read, if the product to be inspected belonging to the standard image data belongs to a qualitative product, the pixel table and the legend of the product to be inspected are read, the ground feature type matched with the product to be inspected is filled according to the read information, the read information and the record of the product are stored in a database, after the user successfully uploads the product to be inspected, the image time of the product to be inspected is input through an online system, and then the successful information uploaded by the user, the longitude and latitude range and the image time of the product to be inspected are transmitted to a ground sample data retrieval unit (S13);
the ground sample data retrieval unit (S13) receives the information transmitted by the remote sensing product information automatic reading unit (S12), a user selects whether to associate ground sample data according to the received information, if the user clicks the associated ground data, the system retrieves a ground sample data set which meets the conditions from a background database according to the longitude and latitude range and the image time of the product to be inspected, and for qualitative and quantitative products, the user can also select a pixel level processing method and an authenticity inspection index and transmit the selection result to the authenticity inspection order creating unit (S14);
the authenticity verification order creation unit (S14) receives the selection result transmitted by the ground sample data retrieval unit (S13), generates a remote sensing authenticity verification order based on the selection result, stores remote sensing authenticity verification order information into a database, reminds a user of successful order creation, and transmits the created remote sensing authenticity verification order to a verification module (S2).
8. The ordering system for the remote sensing product authenticity verification service according to claim 7, wherein: the proofing module (S2) includes a proofing order retrieval processing unit (S21), an execution preparation unit (S22), a proofing unit (S23), and a proofing result uploading unit (S24);
the proofed order retrieval processing unit (S21) receives the remote sensing authenticity proofed order transmitted from the authenticity proofed order creation unit (S14), and the proofer acquires order information through the proofed order retrieval processing unit (S21) and transmits the acquired order information to the proofer unit (S23);
the execution preparation unit (S22) requires a checker to be a related sample set of a product to be checked according to the image time and the latitude and longitude range of a remote sensing product for an order of unselected related ground sample data, loads sample points on a map, requires a system to use a default processing method and check indexes for the order of unselected pixel level processing method and authenticity check indexes, and for geometric products, the checker needs to select and store the same-name points of the positions according to the image information of the product to be checked and auxiliary images of ground actual measurement samples, and transmits the selected pixel level processing method, authenticity check index and other parameters and the sample data set to the check unit (S23);
the verifying unit (S23) receives the order information transmitted by the verified order retrieval processing unit (S21), parameters such as a pixel level processing method and an authenticity verification index transmitted by the execution preparation unit (S22) and a sample data set, and a verifier processes the received contents in an online processing or offline processing mode and transmits the processed order authenticity verification result to the verification result uploading unit (S24);
the checking result uploading unit (S24) receives the checking result transmitted by the checking unit (S23), and for the authenticity checking order processed on line, the system automatically stores the relevant authenticity checking result in the database, for the authenticity checking order processed off line, the inspector needs to select the order through the order processing background system and upload the corresponding checking result file, and the system reads the checking result file, stores the authenticity checking result in the database, and transmits the authenticity checking result stored in the database to the auditing module (S3).
9. The ordering system for the remote sensing product authenticity verification service according to claim 8, wherein: the auditing module (S3) includes an auditing unit (S31), a prediction unit (S32), and an adjustment unit (S33);
the checking unit (S31) receives the authenticity checking result transmitted by the checking result uploading unit (S24), the examiner checks the received authenticity checking result, if the checking result meets the user requirement and accords with the relevant specification of the checking process, the checking is passed, otherwise, the checking is not passed, and the checking result is transmitted to the prediction unit (S32) and the order checking result query module (S4);
the prediction unit (S32) receives the auditing result transmitted by the auditing unit (S31), if the created remote sensing authenticity check order does not pass the auditing, the specific reason that the remote sensing authenticity check order does not pass the auditing is analyzed by constructing a prediction model, if the requirement of the user is not met, the satisfaction degree of the user is calculated, and the analysis and calculation result is transmitted to the adjusting unit (S33);
the adjusting unit (S33) receives the analysis and calculation results transmitted from the predicting unit (S32), and adjusts the order creation management module (S1) and the proofing module (S2) based on the received contents.
10. The ordering system for the remote sensing product authenticity verification service according to claim 9, wherein: and the order checking result query module (S4) receives the checking result transmitted by the checking unit (S31), stores the received checking result in a database, and checks the remote sensing authenticity checking order checking result of the uploaded product through an online system.
CN202111601100.6A 2021-12-24 2021-12-24 Order system and method for remote sensing product authenticity verification service Active CN114240467B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111601100.6A CN114240467B (en) 2021-12-24 2021-12-24 Order system and method for remote sensing product authenticity verification service

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111601100.6A CN114240467B (en) 2021-12-24 2021-12-24 Order system and method for remote sensing product authenticity verification service

Publications (2)

Publication Number Publication Date
CN114240467A true CN114240467A (en) 2022-03-25
CN114240467B CN114240467B (en) 2023-04-18

Family

ID=80762759

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111601100.6A Active CN114240467B (en) 2021-12-24 2021-12-24 Order system and method for remote sensing product authenticity verification service

Country Status (1)

Country Link
CN (1) CN114240467B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020478A (en) * 2012-12-28 2013-04-03 杭州师范大学 Method for checking reality of ocean color remote sensing product
CN103390115A (en) * 2013-08-02 2013-11-13 国家卫星海洋应用中心 Seasat remote sensing observation data matching method and system
CN104933607A (en) * 2015-05-27 2015-09-23 中国科学院遥感与数字地球研究所 Satellite remote sensing data order service system
CN106022790A (en) * 2016-05-09 2016-10-12 中国科学院遥感与数字地球研究所 Quantitative remote sensing product authenticity examination system
CN106257948A (en) * 2016-07-05 2016-12-28 中国水利水电科学研究院 A kind of basin Rainfall Monitoring wireless sensor network node Optimal Deployment Method
CN107368897A (en) * 2017-06-08 2017-11-21 云台科技（深圳）有限公司 A kind of operation system of self-service maintenance electronic product service
CN111125080A (en) * 2019-12-23 2020-05-08 北京航天世景信息技术有限公司 Multisource remote sensing image integrated management system and method based on pattern spot model
CN112182131A (en) * 2020-09-28 2021-01-05 中国电子科技集团公司第五十四研究所 Remote sensing image recommendation method based on multi-attribute fusion

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020478A (en) * 2012-12-28 2013-04-03 杭州师范大学 Method for checking reality of ocean color remote sensing product
CN103390115A (en) * 2013-08-02 2013-11-13 国家卫星海洋应用中心 Seasat remote sensing observation data matching method and system
CN104933607A (en) * 2015-05-27 2015-09-23 中国科学院遥感与数字地球研究所 Satellite remote sensing data order service system
CN106022790A (en) * 2016-05-09 2016-10-12 中国科学院遥感与数字地球研究所 Quantitative remote sensing product authenticity examination system
CN106257948A (en) * 2016-07-05 2016-12-28 中国水利水电科学研究院 A kind of basin Rainfall Monitoring wireless sensor network node Optimal Deployment Method
CN107368897A (en) * 2017-06-08 2017-11-21 云台科技（深圳）有限公司 A kind of operation system of self-service maintenance electronic product service
CN111125080A (en) * 2019-12-23 2020-05-08 北京航天世景信息技术有限公司 Multisource remote sensing image integrated management system and method based on pattern spot model
CN112182131A (en) * 2020-09-28 2021-01-05 中国电子科技集团公司第五十四研究所 Remote sensing image recommendation method based on multi-attribute fusion

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
许妙忠等: "高分辨率卫星影像几何精度真实性检验方法", 《测绘科学技术学报》 *

Also Published As

Publication number Publication date
CN114240467B (en) 2023-04-18

Similar Documents

Publication Publication Date Title
US20030154044A1 (en) On-site analysis system with central processor and method of analyzing
Virkkunen et al. Comparison of â versus a and Hit/Miss POD-Estimation methods: A European viewpoint
CN114994261A (en) Remote calibration method for sensor for ambient air monitoring
CN111830070A (en) Automatic defect identification and judgment system and method based on edge calculation
CN106803192A (en) A kind of supporting impact evaluation method of the environment and surrounding of real estate
CN114240467B (en) Order system and method for remote sensing product authenticity verification service
CN113218986B (en) System and method for detecting compactness after prestress grouting construction
CN113537834B (en) Product quality analysis traceability system based on industry 4.0
CN114913079A (en) Regional ecological risk evaluation system and method based on hyperspectral image
US12014291B2 (en) System and method for processing distorted or inaccurate input data obtained from an environment
Diez et al. Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study
US11741113B2 (en) Measurement guide device and simulation computing device used therefor
CN115063113A (en) Image quality evaluation method and device for remote sensing image
Meijer et al. Spatial data quality and a workflow tool
CN115250429A (en) Method and device for evaluating service quality of mobile network and electronic equipment
KR100826559B1 (en) Safety administration affairs method and its system for Internet
CN116879121B (en) Air particulate matter concentration real-time monitoring system based on optical fiber sensing technology
CN118310585B (en) Equipment surface metal plating detection method and detection device thereof
CN118624540B (en) Disease and pest monitoring method based on remote sensing meteorological data cooperation
CN111815559B (en) Agricultural product quality detection method, system, device and storage medium thereof
LU506083B1 (en) Deformation evaluation method of long-distance buried pipeline
Thomas et al. Follow-on to the Inter-comparison of Satellite-based Volcanic Ash Retrieval Algorithms in Support to SCOPE-Nowcasting Final report
CN108170589A (en) The support method of network platform basic data quality algorithm
CA2435626A1 (en) Sampling method and risk management in the metallurgical inspection of pipes or reservoirs
Caloiero Roberto Coscarelli1Ε, Giulio Nils Caroletti1, Magnus Joelsson2, Erik Engström2 &

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant