CN106815606A - A kind of basin contamination detection method and system based on multi- source Remote Sensing Data data - Google Patents

A kind of basin contamination detection method and system based on multi- source Remote Sensing Data data Download PDF

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Publication number
CN106815606A
CN106815606A CN201710052520.0A CN201710052520A CN106815606A CN 106815606 A CN106815606 A CN 106815606A CN 201710052520 A CN201710052520 A CN 201710052520A CN 106815606 A CN106815606 A CN 106815606A
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remote sensing
source remote
data
pollutant
sensing data
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熊益冲
付研文
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Shenzhen Business Administration And Corporate Services Ltd
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Shenzhen Business Administration And Corporate Services Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/251Fusion techniques of input or preprocessed data

Abstract

The invention discloses a kind of basin contamination detection method based on multi- source Remote Sensing Data data and system, wherein method includes:Obtain the multi- source Remote Sensing Data data of the detection zone in valley environment;Polluted information extraction is carried out to the multi- source Remote Sensing Data data;Whether the numerical value of the polluted information that judgement is extracted exceedes pollutant judgment threshold set in advance;If exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.As can be seen here, implement the embodiment of the present invention, to remote sensing data acquiring, analysis, management, and contamination accident and accident source position can be judged, improve treatment and the reply speed of watershed pollution.

Description

A kind of basin contamination detection method and system based on multi- source Remote Sensing Data data
Technical field
The present invention relates to multi-source remote sensing technical field, more particularly to a kind of basin pollution detection based on multi- source Remote Sensing Data data Method and system
Background technology
Recent decades, with the development of world industry, the pollution in basin is also aggravated increasingly.Basin refers to the dry of water system The whole distract that stream and tributary are flowed through.The pollution that harmful substance is caused into valley environment, can damage living resources, harm Human health, hinders fishing and the mankind in other activities in basin, damages quality in watershed and environmental quality etc., suffers the ecosystem To destruction.As environment is aggravated increasingly with pollution problem, making an investment in for watershed pollution monitoring increases year by year.Routine is for basin Monitoring means Points replacing surfaces, human input big, high cost, subjectivity it is strong.Remote sensing has large area, quick, dynamic, low cost The advantage of area information is obtained, due to the complexity of basin pollutant, dirt how is recognized from substantial amounts of remote sensing images and track Dye thing target has turned into a key scientific issues for urgent need to resolve.However, really realizing " multi-source " remote sensing data acquiring and answering System is still immature.In the basin basic blank of remote sensing monitoring application aspect, the sampling water quality analysis phase is remained in.And simultaneously Total solution is not formed on the full link such as remote sensing data acquiring, analysis, management, displaying is integrated.
The content of the invention
A kind of basin contamination detection method based on multi- source Remote Sensing Data data and system are the embodiment of the invention provides, in remote sensing The integrated upper formation total solution of full link such as data acquisition, analysis, management, displaying.
Embodiment of the present invention first aspect discloses a kind of basin contamination detection method based on multi- source Remote Sensing Data data, bag Include:
Obtain the multi- source Remote Sensing Data data of the detection zone in valley environment;
Polluted information extraction is carried out to the multi- source Remote Sensing Data data;
Whether the numerical value of the polluted information that judgement is extracted exceedes pollutant judgment threshold set in advance;
If exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.
As a kind of optional implementation method, waving property of smog point is carried out to the detection zone that there occurs contamination accident Analysis, generates contamination accident material diffusion model;
The position in accident source is obtained according to the contamination accident material diffusion model.
As a kind of optional implementation method, the multi- source Remote Sensing Data data of the detection zone in the acquisition valley environment, tool Body includes:
The detection zone is obtained from various earth observation satellites by the environment pollution detection device of the detection zone Multi- source Remote Sensing Data data, the multi- source Remote Sensing Data data include multi-source remote sensing satellite image;
The multi- source Remote Sensing Data data is pre-processed;
Store pretreated multi- source Remote Sensing Data data.
It is described that the multi- source Remote Sensing Data data is pre-processed as a kind of optional implementation method, specifically include:
Radiant correction, geometric correction and remote sensing image fusion are carried out to the multi-source Remote Sensing Images in the multi- source Remote Sensing Data data Treatment.
Used as a kind of optional implementation method, whether the numerical value of the polluted information that the judgement is extracted exceedes presets Pollutant judgment threshold, specifically include:
Corresponding each pollutant judgment threshold in each region is pre-set in database;
The polluted information for extracting and the corresponding pollutant judgment threshold are compared, the polluted information Including multiple contaminant informations, correspondence includes multiple pollutant judgment thresholds;
Judge whether the judgment threshold of the pollutant of the soiling value more than storage of any one pollutant for extracting, such as It is really, it is determined that the numerical value of the polluted information for extracting has exceeded pollutant judgment threshold set in advance.
Embodiment of the present invention second aspect discloses a kind of basin pollution detection system based on multi- source Remote Sensing Data data, bag Include:
Acquiring unit, the multi- source Remote Sensing Data data for obtaining the detection zone in valley environment;
Extraction unit, for carrying out polluted information extraction to the multi- source Remote Sensing Data data;
Whether judging unit, the numerical value of the polluted information extracted for judgement judges threshold more than pollutant set in advance Value,
Determining unit, if for exceeding during judgment threshold, it is determined that the detection zone there occurs contamination accident.
Used as a kind of optional implementation method, the system also includes:
Analytic unit, for carrying out the analysis of waving property of smog to the detection zone that there occurs contamination accident, generation is dirty Dye accident material diffusion model;
Position determination unit, the position for obtaining accident source according to the contamination accident material diffusion model.
Used as a kind of optional implementation method, the acquiring unit is dirty specifically for the environment by the detection zone Dye detection means obtains the multi- source Remote Sensing Data data of the detection zone, the multi- source Remote Sensing Data data bag from various earth observation satellites Include multi-source remote sensing satellite image;
The system also includes:Pretreatment unit, for being pre-processed to the multi- source Remote Sensing Data data;
Memory cell, for storing pretreated multi- source Remote Sensing Data data.
As a kind of optional implementation method, the pretreatment unit, specifically in the multi- source Remote Sensing Data data Multi-source Remote Sensing Images carry out the treatment of radiant correction, geometric correction and remote sensing image fusion.
Used as a kind of optional implementation method, the system also includes:
Setting unit, for pre-setting corresponding each pollutant judgment threshold in each region in database;
The judging unit, specifically for by the polluted information for extracting and the corresponding pollutant judgment threshold It is compared, the polluted information includes multiple contaminant informations, correspondence includes multiple pollutant judgment thresholds;
The judging unit is additionally operable to judge whether soiling value being somebody's turn to do more than storage of any one pollutant for extracting The judgment threshold of pollutant, if it is, the numerical value of the polluted information extracted described in determining has exceeded pollution set in advance Thing judgment threshold.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below:
In the embodiment of the present invention, the multi- source Remote Sensing Data data of the detection zone in valley environment is obtained;To the multi-source remote sensing Data carry out polluted information extraction;Whether the numerical value of the polluted information that judgement is extracted judges threshold more than pollutant set in advance Value;If exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.As can be seen here, the embodiment of the present invention is implemented, To remote sensing data acquiring, analysis, management, and contamination accident and accident source position can be judged, improve watershed pollution Treatment and reply speed.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for embodiment description Accompanying drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these accompanying drawings His accompanying drawing.
Fig. 1 is a kind of stream of the basin contamination detection method based on multi- source Remote Sensing Data data disclosed in first embodiment of the invention Journey schematic diagram;
Fig. 2 is a kind of basin pollution detection system based on multi- source Remote Sensing Data data disclosed in second embodiment of the invention Structural representation;
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with accompanying drawing the present invention is made into One step ground is described in detail, it is clear that described embodiment is only some embodiments of the invention, rather than whole implementation Example.Based on the embodiment in the present invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made All other embodiment, belongs to the scope of protection of the invention.
Term " first ", " second " in description and claims of this specification and above-mentioned accompanying drawing etc. are for distinguishing Different object, rather than for describing particular order.Additionally, term " comprising " and " having " and their any deformations, meaning Figure is to cover non-exclusive including.For example contain process, method, system, product or the equipment of series of steps or unit The step of having listed or unit are not limited to, but alternatively also include the step of not listing or unit, or alternatively also Including for these processes, method or other intrinsic steps of equipment or unit.
Referenced herein embodiment is it is meant that the special characteristic, structure or the characteristic that describe can be included in conjunction with the embodiments In at least one embodiment of the present invention.The phrase occur in each position of specification might not each mean identical reality Example is applied, nor the independent or alternative embodiment with other embodiment mutual exclusion.Those skilled in the art are explicitly and implicitly Ground understands that embodiment described herein can be combined with other embodiment.
A kind of multi-point thermo detector report method based on Internet of Things is the embodiment of the invention provides, temperature prison can be reported Control center, it is also possible to log history temperature curve, temperature regime is checked by mobile device whenever and wherever possible.
Fig. 1 is referred to, Fig. 1 is a kind of basin pollution inspection based on multi- source Remote Sensing Data data disclosed in first embodiment of the invention The schematic flow sheet of survey method.Wherein, the basin contamination detection method based on multi- source Remote Sensing Data data shown in Fig. 1 can include with Lower step:
101st, the multi- source Remote Sensing Data data of the detection zone in valley environment is obtained.
In the embodiment of the present invention, obtained from various earth observation satellites by the environment pollution detection device of the detection zone The multi- source Remote Sensing Data data of the detection zone is taken, the multi- source Remote Sensing Data data includes multi-source remote sensing satellite image;Then to described Multi- source Remote Sensing Data data is pre-processed, and specifically include carries out radiation school to the multi-source Remote Sensing Images in the multi- source Remote Sensing Data data Just, geometric correction and remote sensing image fusion are processed.Finally store pretreated multi- source Remote Sensing Data data.
Remote sensing images radiant correction:Due to sensor response characteristic and air absorption, scattering and other enchancement factors Influence, causes image blurring distortion, causes the resolution ratio and contrast relative drop of image, and these are required for by radiant correction Restore, the process for eliminating the various distortions being attached in radiance in remote sensing image data is radiant correction.
Image correction in remote sensing:The geometric correction of remote sensing digital image has two kinds:One is incited somebody to action according to satellite orbit formula The position of satellite, attitude, track, the earth curve form and scanning feature calculate picture in every scan line as the function of time The coordinate of unit, this correction often causes image after correction because of not high to the position of remote sensor and attitude measurement accuracy Still there is no small error.So being called thick geometric correction again, thick correction is general by the remotely-sensed data producer, such as satellite remote sensing Face station or remote sensing company are responsible for carrying out;Two be to carrying out smart geometric correction by thick geometric correction image, the correction need by Ground control point, and the calibration model such as multinomial is carried out.In general, remote sensing satellite uses accurate location technology, attitude Keep quite stable, it is smaller by the geometric error that causes of attitude of satellite change, but in imaging process atmospheric perturbation cause it is several What error is larger;And air remote sensing aircraft, particularly aeromodelling airplane, the geometric error that its attitudes vibration causes can not ignore, have When it is also quite big.Geometric correction is carried out using control point, and it is come approximate description remote sensing images with a kind of Mathematical Modeling Geometric distortion process, and using distortion remote sensing images and standard map between some corresponding points (i.e. control point) balls this Geometric distortion model, then carries out the correction of geometric distortion using secondary model, and this correction does not consider the concrete reason of distortion, and Only consider how using distortion model come correction chart picture.
Remote sensing image fusion:Image fusion technology is the information fusion with image as research object, and it is to same target Or various images that scene is obtained with different sensors, or with sensor of the same race with different imaging modes or in different imaging times The different images of acquisition, are fused to piece image, the information of multiple original image can be reflected in this width fused images, to reach To the comprehensive description to target and atural object.
Multi- source Remote Sensing Data data refers to the remote sensing images or same sensor of the same area that multiple sensors are obtained in difference The remote sensing image data of the same area that the moment obtains.Multi-source Information Fusion can be enriched with the complementation of the different data sources of the same area Information, reduces the inexactness of data, reduces the fuzziness of data, makes classification more accurate and reliable, to be formed to target area The complete consistent information description in domain.
102nd, polluted information extraction is carried out to the multi- source Remote Sensing Data data.
103rd, judge whether the numerical value of the polluted information for extracting exceedes pollutant judgment threshold set in advance.
Corresponding each pollutant judgment threshold in each region is pre-set in database;
The polluted information for extracting and the corresponding pollutant judgment threshold are compared, the polluted information Including multiple contaminant informations, correspondence includes multiple pollutant judgment thresholds;
Judge whether the judgment threshold of the pollutant of the soiling value more than storage of any one pollutant for extracting, such as It is really, it is determined that the numerical value of the polluted information for extracting has exceeded pollutant judgment threshold set in advance.
If the 104, exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.
105th, the analysis of waving property of smog is carried out to the detection zone that there occurs contamination accident, contamination accident material is generated Diffusion model;
106th, the position in accident source is obtained according to the contamination accident material diffusion model.
, it is necessary to be carried out to the accident source of the contamination accident of detection zone after judging that detection zone there occurs contamination accident Identification.
Accident source identification unit to there occurs contamination accident detection zone multi- source Remote Sensing Data data in multiple multi-sources it is distant Sense image carries out the analysis of waving property of smog, generation contamination accident material diffusion polar plot.The accident material is recycled to spread vector Scheme and there occurs that the physical condition of the position scene of the detection zone of contamination accident sets up contamination accident material diffusion model, with reference to Neural network ensemble optimized algorithm dynamically adjusts the input condition of contamination accident material diffusion model, makes input condition with above-mentioned dirt Dye accident material diffusion polar plot reaches consistent or approximate consistent, optimization processing of the completion to contamination accident material diffusion model. The process of generation contamination accident material diffusion polar plot mainly uses the remote sensing images of different time to contrast generation contamination accident Material spreads, and then carries out the description of contamination polar plot using the buffer technology of geographic information system technology.
Air pollution model:The purpose of atmosphere pollution Diffusion Law is under research DIFFERENT METEOROLOGICAL CONDITIONS:1. basis is worked as Industrial programming and distribution are provided scientific basis, the atmosphere pollution that prevention is likely to result in by ground meteorological condition;2. according to local air Diffusivity and environmental health standards, propose discharge standard (discharge capacity and height of release);3. air pollution forecasting is carried out, so as to In a planned way take emergency measures, prevent the deterioration (long-term) of environmental quality and prevent the contamination accident that may occur (short-term ).Research of the diffusion theory to air pollution diffusion process has two kinds of approach:One kind is experimental technique, aiming at given Emission source, determines the concentration distribution of pollutant, and finds out the relation of concentration distribution same time, space and meteorological condition change, visits Rope its rule.This method can also be implemented in the method for testing indoor wind tunnel simulation.Another kind is theoretical method, that is, use The theoretical of turbulent falling films sets up the pattern (see air pollution model) for describing air pollution diffusion dilution, finds out concentration distribution With the relation of meteorologic parameter.
The main theory system of DIFFUSION IN TURBULENCE has two kinds:1. gradient-Conveying Theory:Start with from mean field, using turbulent flow half Empirical theory (i.e. linear between flux and gradient) can release DIFFUSION IN TURBULENCE equation, on certain initial conditions and border Under the conditions of can obtain non trivial solution.But the result of theory deduction and actual result often have a tremendous difference.2. statistical theory:From Research individual flow particle movement is started with, and represents the characteristic quantity of diffusion with determination accordingly.With the statistical characteristic value of field of turbulent flow come Diffusion parameter is described, and these statistical characteristic values are expressed with measurable meteorologic parameter, and then found out diffusion parameter and gas can be surveyed As the direct contact of condition.
Then, solution indirect problem is carried out to the contamination accident material diffusion model after optimization using numerical value side, according to solution Result determines the position in the accident source of above-mentioned contamination accident.
In the embodiment of the present invention, the multi- source Remote Sensing Data data of the detection zone in valley environment is obtained;To the multi-source remote sensing Data carry out polluted information extraction;Whether the numerical value of the polluted information that judgement is extracted judges threshold more than pollutant set in advance Value;If exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.As can be seen here, the embodiment of the present invention is implemented, To remote sensing data acquiring, analysis, management, and contamination accident and accident source position can be judged, improve watershed pollution Treatment and reply speed.
It is below present system embodiment, present system embodiment is used to perform the realization of the inventive method embodiment one Method.
Fig. 2 is referred to, Fig. 2 is a kind of basin pollution inspection based on multi- source Remote Sensing Data data disclosed in second embodiment of the invention The structure chart of examining system.As shown in Fig. 2 the system can include:
Acquiring unit 201, the multi- source Remote Sensing Data data for obtaining the detection zone in valley environment.
In the embodiment of the present invention, in the embodiment of the present invention, by the environment pollution detection device of the detection zone from each The multi- source Remote Sensing Data data that earth observation satellite obtains the detection zone is planted, the multi- source Remote Sensing Data data includes multi-source remote sensing satellite Image;Then the multi- source Remote Sensing Data data is pre-processed, is specifically included to the multi-source remote sensing in the multi- source Remote Sensing Data data Image carries out the treatment of radiant correction, geometric correction and remote sensing image fusion.Finally store pretreated multi- source Remote Sensing Data data.
Multi- source Remote Sensing Data data refers to the remote sensing images or same sensor of the same area that multiple sensors are obtained in difference The remote sensing image data of the same area that the moment obtains.Multi-source Information Fusion can be enriched with the complementation of the different data sources of the same area Information, reduces the inexactness of data, reduces the fuzziness of data, makes classification more accurate and reliable, to be formed to target area The complete consistent information description in domain.
Extraction unit 202, for carrying out polluted information extraction to the multi- source Remote Sensing Data data.
Whether judging unit 203, the numerical value of the polluted information for judging to extract is sentenced more than pollutant set in advance Disconnected threshold value.
In the embodiment of the present invention, in embodiments of the present invention, corresponding each dirt in each region is pre-set in database Dye thing judgment threshold, the polluted information for extracting and the corresponding pollutant judgment threshold are compared, pollution letter Breath includes multiple contaminant informations, and correspondence includes multiple pollutant judgment thresholds, judges whether any one pollution for extracting The soiling value of thing is more than the judgment threshold of the pollutant of storage, if it is, the number of the polluted information extracted described in determining Value has exceeded pollutant judgment threshold set in advance.
Determining unit 204, if for exceeding during judgment threshold, it is determined that the detection zone there occurs contamination accident.
Corresponding each pollutant judgment threshold in each region is pre-set in database;
The polluted information for extracting and the corresponding pollutant judgment threshold are compared, the polluted information Including multiple contaminant informations, correspondence includes multiple pollutant judgment thresholds;
Judge whether the judgment threshold of the pollutant of the soiling value more than storage of any one pollutant for extracting, such as It is really, it is determined that the numerical value of the polluted information for extracting has exceeded pollutant judgment threshold set in advance.
Analytic unit 205, for carrying out the analysis of waving property of smog, generation to the detection zone that there occurs contamination accident Contamination accident material diffusion model;
Position determination unit 206, the position for obtaining accident source according to the contamination accident material diffusion model.
, it is necessary to be carried out to the accident source of the contamination accident of detection zone after judging that detection zone there occurs contamination accident Identification.
Accident source identification unit to there occurs contamination accident detection zone multi- source Remote Sensing Data data in multiple multi-sources it is distant Sense image carries out the analysis of waving property of smog, generation contamination accident material diffusion polar plot.The accident material is recycled to spread vector Scheme and there occurs that the physical condition of the position scene of the detection zone of contamination accident sets up contamination accident material diffusion model, with reference to Neural network ensemble optimized algorithm dynamically adjusts the input condition of contamination accident material diffusion model, makes input condition with above-mentioned dirt Dye accident material diffusion polar plot reaches consistent or approximate consistent, optimization processing of the completion to contamination accident material diffusion model. The process of generation contamination accident material diffusion polar plot mainly uses the remote sensing images of different time to contrast generation contamination accident Material spreads, and then carries out the description of contamination polar plot using the buffer technology of geographic information system technology.
Air pollution model:The purpose of atmosphere pollution Diffusion Law is under research DIFFERENT METEOROLOGICAL CONDITIONS:1. basis is worked as Industrial programming and distribution are provided scientific basis, the atmosphere pollution that prevention is likely to result in by ground meteorological condition;2. according to local air Diffusivity and environmental health standards, propose discharge standard (discharge capacity and height of release);3. air pollution forecasting is carried out, so as to In a planned way take emergency measures, prevent the deterioration (long-term) of environmental quality and prevent the contamination accident that may occur (short-term ).Research of the diffusion theory to air pollution diffusion process has two kinds of approach:One kind is experimental technique, aiming at given Emission source, determines the concentration distribution of pollutant, and finds out the relation of concentration distribution same time, space and meteorological condition change, visits Rope its rule.This method can also be implemented in the method for testing indoor wind tunnel simulation.Another kind is theoretical method, that is, use The theoretical of turbulent falling films sets up the pattern (see air pollution model) for describing air pollution diffusion dilution, finds out concentration distribution With the relation of meteorologic parameter.
The main theory system of DIFFUSION IN TURBULENCE has two kinds:1. gradient-Conveying Theory:Start with from mean field, using turbulent flow half Empirical theory (i.e. linear between flux and gradient) can release DIFFUSION IN TURBULENCE equation, on certain initial conditions and border Under the conditions of can obtain non trivial solution.But the result of theory deduction and actual result often have a tremendous difference.2. statistical theory:From Research individual flow particle movement is started with, and represents the characteristic quantity of diffusion with determination accordingly.With the statistical characteristic value of field of turbulent flow come Diffusion parameter is described, and these statistical characteristic values are expressed with measurable meteorologic parameter, and then found out diffusion parameter and gas can be surveyed As the direct contact of condition.
Then, solution indirect problem is carried out to the contamination accident material diffusion model after optimization using numerical value side, according to solution Result determines the position in the accident source of above-mentioned contamination accident.
Pretreatment unit 207, for being pre-processed to the multi- source Remote Sensing Data data.
Pretreatment is specifically included and carries out radiant correction, geometric correction to the multi-source Remote Sensing Images in the multi- source Remote Sensing Data data With remote sensing image fusion treatment.
Remote sensing images radiant correction:Due to sensor response characteristic and air absorption, scattering and other enchancement factors Influence, causes image blurring distortion, causes the resolution ratio and contrast relative drop of image, and these are required for by radiant correction Restore, the process for eliminating the various distortions being attached in radiance in remote sensing image data is radiant correction.
Image correction in remote sensing:The geometric correction of remote sensing digital image has two kinds:One is incited somebody to action according to satellite orbit formula The position of satellite, attitude, track, the earth curve form and scanning feature calculate picture in every scan line as the function of time The coordinate of unit, this correction often causes image after correction because of not high to the position of remote sensor and attitude measurement accuracy Still there is no small error.So being called thick geometric correction again, thick correction is general by the remotely-sensed data producer, such as satellite remote sensing Face station or remote sensing company are responsible for carrying out;Two be to carrying out smart geometric correction by thick geometric correction image, the correction need by Ground control point, and the calibration model such as multinomial is carried out.In general, remote sensing satellite uses accurate location technology, attitude Keep quite stable, it is smaller by the geometric error that causes of attitude of satellite change, but in imaging process atmospheric perturbation cause it is several What error is larger;And air remote sensing aircraft, particularly aeromodelling airplane, the geometric error that its attitudes vibration causes can not ignore, have When it is also quite big.Geometric correction is carried out using control point, and it is come approximate description remote sensing images with a kind of Mathematical Modeling Geometric distortion process, and using distortion remote sensing images and standard map between some corresponding points (i.e. control point) balls this Geometric distortion model, then carries out the correction of geometric distortion using secondary model, and this correction does not consider the concrete reason of distortion, and Only consider how using distortion model come correction chart picture.
Remote sensing image fusion:Image fusion technology is the information fusion with image as research object, and it is to same target Or various images that scene is obtained with different sensors, or with sensor of the same race with different imaging modes or in different imaging times The different images of acquisition, are fused to piece image, the information of multiple original image can be reflected in this width fused images, to reach To the comprehensive description to target and atural object.
Memory cell 208, for storing pretreated multi- source Remote Sensing Data data.
Setting unit 209, for pre-setting corresponding each pollutant judgment threshold in each region in database
In the embodiment of the present invention, the multi- source Remote Sensing Data data of the detection zone in valley environment is obtained;To the multi-source remote sensing Data carry out polluted information extraction;Whether the numerical value of the polluted information that judgement is extracted judges threshold more than pollutant set in advance Value;If exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.As can be seen here, the embodiment of the present invention is implemented, To remote sensing data acquiring, analysis, management, and contamination accident and accident source position can be judged, improve watershed pollution Treatment and reply speed.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored with journey Sequence, the part of the monitoring method including any service processes quick-witted in the above method embodiment when program is performed or complete Step.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of Combination of actions, but those skilled in the art should know, the present invention not by described by sequence of movement limited because According to the present invention, some steps can sequentially or simultaneously be carried out using other.Secondly, those skilled in the art should also know Know, the embodiment described by specification China belongs to preferred embodiment, involved action and unit not necessarily this hair Necessary to bright.
The not enough order of the method for the embodiment of the present invention can according to actual needs be adjusted, merges or delete.This hair The unit of the terminal of bright embodiment can according to actual needs be integrated, further divide or delete.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion described in detail in certain embodiment Point, the associated description of other embodiment can be participated in.
In several embodiments provided herein, it should be understood that disclosed system, can be in other way Realize, for example, system embodiment described above is schematical, such as the division of described unit is a kind of logic function Divide, there can be other dividing mode when actually realizing, such as multiple units or component can be combined or be desirably integrated into Another system, or some features can be ignored, or not perform.It is another, shown or discussed coupling each other or Direct-coupling or communication connection can be that the brief introduction coupling or communication connection of device or unit, can be electricity by some interfaces Property or other form.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit The part for showing can be or can also be physical location, you can with positioned at a place, or can also be distributed to many On individual NE.Some or all of unit therein can be according to the actual needs selected to realize this embodiment scheme Purpose.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
It is worth noting that, in above-mentioned multi-point thermo detector reporting system and terminal device embodiment based on Internet of Things, institute Including unit be to be divided according to function logic, but above-mentioned division is not limited to, as long as can realize Corresponding function;In addition, the specific name of each functional unit is also only to facilitate mutually differentiation, is not limited to this The protection domain of invention.
In addition, one of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment Program be can be by instruct the hardware of correlation to complete, the program can be stored in a computer-readable recording medium, Storage medium include read-only storage (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only storage (One- Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only storage (Electrically-Erasable Programmable Read-Only Memory, EEPROM), read-only optical disc (Compact Disc Read-Only Memory, CD-ROM) or other disk storages, magnetic disk storage, magnetic tape storage or can For carrying or computer-readable any other medium of data storage.
The present invention preferably specific embodiment is these are only, but protection scope of the present invention is not limited thereto, it is any Those familiar with the art the change that can readily occur in or replaces in the technical scope that the embodiment of the present invention is disclosed Change, should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claim Enclose and be defined.

Claims (10)

1. a kind of basin contamination detection method based on multi- source Remote Sensing Data data, it is characterised in that including:
Obtain the multi- source Remote Sensing Data data of the detection zone in valley environment;
Polluted information extraction is carried out to the multi- source Remote Sensing Data data;
Whether the numerical value of the polluted information that judgement is extracted exceedes pollutant judgment threshold set in advance;
If exceeding judgment threshold, it is determined that the detection zone there occurs contamination accident.
2. method according to claim 1, it is characterised in that methods described also includes:
The analysis of waving property of smog, generation contamination accident material diffusion mould are carried out to the detection zone that there occurs contamination accident Type;
The position in accident source is obtained according to the contamination accident material diffusion model.
3. method according to claim 1, it is characterised in that the multi-source remote sensing of the detection zone in the acquisition valley environment Data, specifically include:
The many of the detection zone are obtained from various earth observation satellites by the environment pollution detection device of the detection zone Source remotely-sensed data, the multi- source Remote Sensing Data data includes multi-source remote sensing satellite image;
The multi- source Remote Sensing Data data is pre-processed;
Store pretreated multi- source Remote Sensing Data data.
4. the method according to claim 1, it is characterised in that described to be pre-processed to the multi- source Remote Sensing Data data, tool Body includes:
Multi-source Remote Sensing Images in the multi- source Remote Sensing Data data are carried out at radiant correction, geometric correction and remote sensing image fusion Reason.
5. according to any one methods described in claims 1 to 3, it is characterised in that the polluted information that the judgement is extracted Numerical value whether exceed pollutant judgment threshold set in advance, specifically include:
Corresponding each pollutant judgment threshold in each region is pre-set in database;
The polluted information for extracting and the corresponding pollutant judgment threshold are compared, the polluted information includes Multiple contaminant informations, correspondence includes multiple pollutant judgment thresholds;
Judge whether the judgment threshold of the pollutant of the soiling value more than storage of any one pollutant for extracting, if It is, it is determined that the numerical value of the polluted information for extracting has exceeded pollutant judgment threshold set in advance.
6. a kind of basin pollution detection system based on multi- source Remote Sensing Data data, it is characterised in that including:
Acquiring unit, the multi- source Remote Sensing Data data for obtaining the detection zone in valley environment;
Extraction unit, for carrying out polluted information extraction to the multi- source Remote Sensing Data data;
Whether judging unit, the numerical value of the polluted information for judging to extract exceedes pollutant judgment threshold set in advance;
Determining unit, if for exceeding during judgment threshold, it is determined that the detection zone there occurs contamination accident.
7. system according to claim 6, it is characterised in that the system also includes:
Analytic unit, for carrying out the analysis of waving property of smog to the detection zone that there occurs contamination accident, generates contaminated matter Therefore material diffusion model;
Position determination unit, the position for obtaining accident source according to the contamination accident material diffusion model.
8. system according to claim 6, it is characterised in that
The acquiring unit, specifically for the environment pollution detection device by the detection zone from various earth observation satellites The multi- source Remote Sensing Data data of the detection zone is obtained, the multi- source Remote Sensing Data data includes multi-source remote sensing satellite image;
The system also includes:
Pretreatment unit, for being pre-processed to the multi- source Remote Sensing Data data;
Memory cell, for storing pretreated multi- source Remote Sensing Data data.
9. the system according to claim 6, it is characterised in that
The pretreatment unit, specifically for the multi-source Remote Sensing Images in the multi- source Remote Sensing Data data are carried out with radiant correction, several What correction and remote sensing image fusion treatment.
10. the system according to any one in claim 6~8, it is characterised in that the system also includes:
Setting unit, for pre-setting corresponding each pollutant judgment threshold in each region in database;
The judging unit, specifically for the polluted information for extracting and the corresponding pollutant judgment threshold are carried out Compare, the polluted information includes multiple contaminant informations, correspondence includes multiple pollutant judgment thresholds;
The judging unit is additionally operable to judge whether the soiling value of any one pollutant for extracting more than the pollution for storing The judgment threshold of thing, if it is, the numerical value of the polluted information extracted described in determining has exceeded pollutant set in advance and sentenced Disconnected threshold value.
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Application publication date: 20170609