CN110110016A - A kind of remote sensing images analysis method and device - Google Patents
A kind of remote sensing images analysis method and device Download PDFInfo
- Publication number
- CN110110016A CN110110016A CN201810065235.7A CN201810065235A CN110110016A CN 110110016 A CN110110016 A CN 110110016A CN 201810065235 A CN201810065235 A CN 201810065235A CN 110110016 A CN110110016 A CN 110110016A
- Authority
- CN
- China
- Prior art keywords
- grid
- remote sensing
- sensing image
- grade
- space lattice
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/56—Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Remote Sensing (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
This application discloses a kind of remote sensing images analysis method and devices, for being analyzed as unit of geographic grid remote sensing image, this method comprises: obtaining the inquiry request for being directed to the first grid；Determine the one-dimensional coding of the first grid；The remote sensing image of the first grid is obtained from database according to the one-dimensional coding of the first grid；According to inquiry request type, remote sensing image image is obtained from analysis in the remote sensing image of the first grid, one or more remote sensing images analysis results as the first grid in remote sensing image vector and remote sensing image information.
Description
Technical field
This application involves Remote Sensing Image Processing Technology fields, and in particular to a kind of remote sensing images analysis method and device.
Background technique
With the fast development of remote sensing image obtaining means, remote sensing big data era has been arrived.Remote sensing image is usually
Refer to satellite remote-sensing image and aeroplane photography image, there are the spies such as huge total amount of data, data format and coordinate-system complexity multiplicity
Point.Current remote sensing image data is the file organization mode based on band, map sheet, wave band etc., usual each remote sensing image
The data volume of file is all very big.
Using the spectral signature of remote sensing image, textural characteristics, shape feature, space characteristics etc., effective letter can be extracted
Breath, assistant analysis determines classification, property and its variation of atural object, such as crops classification, the forest zone seed of forest, farming and forest pest, general area face
Product, mine lithology, soil constituent and cities and towns transition etc..
But it is obtained in the prior art for the analysis that the analysis of remote sensing image is for complete remote sensing image
Analysis result do not have geographic significance, can not more effective land productivity so that the analysis result of each remote sensing image is mutually indepedent
With.Analyzed simultaneously for complete remote sensing image, since remote sensing image file is usually bigger, cause analytic process compared with
Slowly.
Summary of the invention
In view of this, the application provides a kind of remote sensing images analysis method and device, to solve not having in the prior art
The technical issues of effect analyzes remote sensing image.
To solve the above problems, technical solution provided by the embodiments of the present application is as follows:
A kind of remote sensing images analysis method, which comprises
Obtain the inquiry request for being directed to the first grid；
Determine the one-dimensional coding of first grid；
The remote sensing image of first grid is obtained from database according to the one-dimensional coding of first grid；
According to the inquiry request type, from the remote sensing image of first grid analysis obtain remote sensing image image,
One or more remote sensing images analysis results as first grid in remote sensing image vector and remote sensing image information.
Optionally, the remote sensing shadow of first grid is obtained from database according to the one-dimensional coding of first grid
Picture, comprising:
The remote sensing of the designated band of first grid is obtained from database according to the one-dimensional coding of first grid
Image.
Optionally, the method also includes:
The remote sensing images analysis result of first grid is saved in result database, the remote sensing of first grid
Index of the image analysing computer result in the result database is consistent with the one-dimensional coding of first grid.
Optionally, the method also includes:
Space lattice system is established, the space lattice system includes 2 altogethernGrade grid, it is described to establish space lattice system
Mode are as follows:, will using each region at 1 degree of 1 degree of longitude interval and latitude interval as benchmark grid within the scope of earth geography
9th grade grid of the benchmark grid as space lattice system, by the benchmark grid, gradually upward quaternary tree polymerization is distinguished
The 8th grade of grid of the space lattice system is generated to the 1st grade of grid, gradually downward quad-tree partition is divided by the benchmark grid
The 10th grade of grid of the space lattice system is not generated to the 2ndnGrade grid；N is the integer greater than 3.
Optionally, the method also includes:
After receiving remote sensing image file, according to the space lattice system, it is corresponding to establish the remote sensing image file
Grids at different levels grid index, the grid index be each grid one-dimensional coding.
A kind of remote sensing images analysis device, described device include:
First acquisition unit, for obtaining the inquiry request for being directed to the first grid；
Determination unit, for determining the one-dimensional coding of first grid；
Second acquisition unit, for obtaining first grid from database according to the one-dimensional coding of first grid
Remote sensing image；
Analytical unit, for analyzing and obtaining from the remote sensing image of first grid according to the inquiry request type
One or more remote sensing shadows as first grid in remote sensing image image, remote sensing image vector and remote sensing image information
As analysis result.
Optionally, the second acquisition unit is specifically used for:
The remote sensing of the designated band of first grid is obtained from database according to the one-dimensional coding of first grid
Image.
Optionally, described device further include:
Storage unit, it is described for the remote sensing images analysis result of first grid to be saved in result database
The one-dimensional coding one of index and first grid of the remote sensing images analysis result of first grid in the result database
It causes.
Optionally, described device further include:
First establishing unit, for establishing space lattice system, the space lattice system includes 2 altogethernGrade grid, it is described
Establish the mode of space lattice system are as follows: by 1 degree of longitude interval and each region at 1 degree of latitude interval within the scope of earth geography
It is using the benchmark grid as the 9th grade of grid of space lattice system, the benchmark grid is gradually upward as benchmark grid
Quaternary tree polymerization generates the 8th grade of grid of the space lattice system to the 1st grade of grid respectively, by the benchmark grid gradually to
Lower quad-tree partition generates the 10th grade of grid of the space lattice system to the 2nd respectivelynGrade grid；N is the integer greater than 3.
Optionally, described device further include:
Second establishes unit, for after receiving remote sensing image file, according to the space lattice system, described in foundation
The grid index of the corresponding grids at different levels of remote sensing image file, the grid index are the one-dimensional coding of each grid.
It can be seen that the embodiment of the present application has the following beneficial effects:
The available inquiry request for a certain geographic grid of the embodiment of the present application, by the one-dimensional coding of the geographic grid
It is available to arrive the corresponding remote sensing image of the geographic grid, remote sensing image corresponding for the geographic grid may further be obtained
Analysis is as a result, remote sensing images analysis result can be in remote sensing image picture, remote sensing image vector and remote sensing image information one
Kind is a variety of, and the embodiment of the present application carries out the analysis of remote sensing image as unit of geographic grid, and on the one hand analysis is a certainly
The remote sensing image within the scope of grid is managed, the data volume analyzed is smaller, obtains the fast speed of analysis result, another aspect remote sensing
Image analysing computer the result is that with geography information, available a variety of different remote sensing images analysis to this area as a result,
Convenient for the combined use of different industries analysis result under unified geographic grid system, remote sensing images analysis is made to generate bigger valence
Value.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of the space lattice system provided in the embodiment of the present application；
Fig. 2 is the schematic diagram of another space lattice system provided in the embodiment of the present application；
Fig. 3 is the flow chart of the remote sensing images analysis method provided in the embodiment of the present application；
Fig. 4 is the schematic diagram of the remote sensing images analysis process provided in the embodiment of the present application；
Fig. 5 is the schematic diagram of the remote sensing images analysis device provided in the embodiment of the present application.
Specific embodiment
In order to make the above objects, features, and advantages of the present application more apparent, with reference to the accompanying drawing and it is specific real
Mode is applied to be described in further detail the embodiment of the present application.
In the prior art for the analysis that the analysis of remote sensing image is for complete remote sensing image, obtained analysis
As a result do not have geographic significance, so that the analysis result of each remote sensing image is mutually indepedent, it is difficult to it is interrelated, it is unfavorable for analyzing
As a result subsequent excavation, so that remote sensing images analysis result can not be utilized more effectively.
For this purpose, the embodiment of the present application provides a kind of remote sensing images analysis method and device, it is available for a certainly
The inquiry request for managing grid, it is available to the corresponding remote sensing image of the geographic grid by the one-dimensional coding of the geographic grid, into
The available corresponding remote sensing images analysis of the geographic grid that is directed to of one step is as a result, remote sensing images analysis result can be remote sensing shadow
As one or more in image, remote sensing image vector and remote sensing image information, the embodiment of the present application is as unit of geographic grid
The analysis of remote sensing image is carried out, what is on the one hand analyzed is the remote sensing image within the scope of a certain geographic grid, the data volume analyzed
It is smaller, obtain the fast speed of analysis result, another aspect remote sensing images analysis is available the result is that with geography information
A variety of different remote sensing images analysis to this area are tied as a result, analyzing under unified geographic grid system convenient for different industries
The combined use of fruit makes remote sensing images analysis generate bigger value.
Before illustrating remote sensing images analysis method provided by the embodiments of the present application, in order to make it easy to understand, first to this Shen
Please the space lattice system in embodiment be illustrated.
In the embodiment of the present application, a set of space lattice system can be initially set up, which can wrap altogether
Include 2nGrade grid, n are the integer greater than 3.
It is shown in Figure 1, can be in latitude and longitude coordinates system in the mode that the first establishes space lattice system, it will
The Eastern Hemisphere region and the Western Hemisphere region in global geographic range are respectively used as a top grid, i.e. first order grid, then will
First order grid carries out quad-tree partition and generates second level grid, and so on, by grids at different levels downward quad-tree partition step by step,
To establish space lattice system.
It is shown in Figure 2, it establishes in the mode of space lattice system for second, it can be within the scope of earth geography by longitude
The each region at 1 degree of 1 degree of interval and latitude interval is as benchmark grid, using benchmark grid as the 9th grade of space lattice system
Grid, by benchmark grid, gradually the polymerization of upward quaternary tree generates the 8th grade of grid of space lattice system to the 1st grade of grid respectively,
By benchmark grid, gradually downward quad-tree partition generates the 10th grade of grid of space lattice system to the 2nd respectivelynGrade grid.
In the mode that this kind establishes space lattice system, division work is carried out according to 1 degree of longitude and latitude within the scope of global geographic
For benchmark grid, for example, 0 degree of east longitude to the region within the scope of 1 degree of east longitude, 90 degree of north latitude to 89 degree of north latitude be a benchmark grid,
And so on, each region at 1 degree of 1 degree of longitude interval and latitude interval is regard as benchmark grid within the scope of global geographic.
9th grade grid of the benchmark grid as space lattice system.
Every 4 the 9th grade of grids are carried out four forks by point centered on the line of demarcation in the Western Hemisphere and the intersection point in equator to the east of then
Tree polymerization carries out quaternary tree polymerization to generate the 7th grade of grid, with this to generate the 8th grade of grid, by every 4 the 8th grade of grids
Analogize and generates the 8th grade to the 1st grade grid.Shown in Figure 2, global geographic range is each 180 degree of thing from center point,
Each 90 degree of the range in north and south, and the 1st grade of grid can be including global geographic range thing each 256 degree, each 256 degree of the model in north and south
It encloses.It is understood that due to remote sensing image acquisition being data within the scope of global geographic, exceed in the 1st grade of grid
The region of global geographic range does not simultaneously correspond to remote sensing image.
Meanwhile the 9th grade of grid, that is, benchmark grid of space lattice system can also continue to downward quad-tree partition and generate the
10th grade of grid quad-tree partition is generated the 11st grade of grid by 10 grades of grids, and so on, it can be generated the 10th grade to the 2ndnGrade
Grid, n are the integer greater than 3.For the value of n, can be determined according to required resolution ratio.Such as when n takes 5, space lattice
System includes 32 grades of grids altogether, and geographic area corresponding to the 32nd grade of grid is the region of Centimeter Level.It is can establish in this way from complete
Space lattice system of the ball geographic range to centimetre rank size.
The 1st grade of region for both corresponding to whole degree longitude and latitude to the 9th grade in this kind of space lattice system, after the 9th grade
The region of rank is also the division to whole degree longitude and latitude, can be made during determining grid coding, without a series of
Multiplication and division operation, it is only necessary to which carrying out bit arithmetic can be completed, as efficiently.Therefore when space lattice system involved in subsequent embodiment,
It is illustrated according to second of space lattice system.
It is shown in Figure 3, the remote sensing images analysis method provided in the embodiment of the present application is provided, may include following step
It is rapid:
Step 301: obtaining the inquiry request for being directed to the first grid.
In the embodiment of the present application, the inquiry request for the first grid can be initiated, which is space lattice
One or more grids in system in a certain rank, it is to be appreciated that each grid in space lattice system both corresponds to
Actual geographic area, therefore the first grid also corresponds to specific geographic area, i.e. the embodiment of the present application obtain for the
The inquiry request of one grid is the analysis request for the corresponding remote sensing image in a certain geographic area.
Step 302: determining the one-dimensional coding of the first grid.
In space lattice system, each grid all has coding, which can may be two dimension for one-dimensional coding
Coding illustrates the mode that the one-dimensional coding of each grid is determined in the embodiment of the present application below.
Generally by an angular coordinate of grid, such as the coordinate of lower-left angle point, to calculate the one-dimensional coding of the grid.Below
It is illustrated by taking the grid in space lattice system in m grades of grids as an example.
The coordinate value of grid angle point is obtained first, which includes the first longitude and the first latitude value, the first warp
Angle value and the first latitude value are floating point values.Such as the coordinate value of grid angle point is (116.4,40.2), then 116.4 be the first warp
Angle value, 40.2 be the first latitude value.
First longitude is converted to 2nFirst binary value of position, first 9 of the first binary value represent the first longitude
The integer-bit of value, the 10th to the 2nd of the first binary valuenPosition represents the decimal place of the first longitude；By the first binary value
Preceding m reservation, other positions 0, obtain the second binary value.
First latitude value is converted to 2nThe third binary value of position, first 9 of third binary value represent the first latitude
The integer-bit of value, the 10th to the 2nd of third binary valuenPosition represents the decimal place of the first latitude value；By third binary value
Preceding m reservation, other positions 0, obtain the 4th binary value.
Wherein, 2nRepresent space lattice system includes 2 altogethernGrade, such as space lattice system are 32 grades.
It is corresponding two-dimensional encoded that second binary value and the 4th binary value can be used as the grid.
Second binary value and the 4th binary value are interted by turn can generate the corresponding one-dimensional coding of the grid.
Intert by turn refer to the 1st by the second binary value and the 4th binary value as the 1st of one-dimensional coding and the 2nd
Position, by the 2nd of the second binary value and the 4th binary value as the 3rd of one-dimensional coding and the 4th, with such
It pushes away.
The above are the explanations for determining the one-dimensional coding of a grid in m grades of grids, it is to be understood that m grades of grids can
Think any level-one in space lattice system, one-dimensional coding can be used as grid index.
It, can also be after receiving remote sensing image file in some possible implementations of the embodiment of the present application, root
According to space lattice system, the grid index of the corresponding grids at different levels of remote sensing image file is established, grid index is each grid
One-dimensional coding.
Step 303: obtaining the remote sensing image of the first grid from database according to the one-dimensional coding of the first grid.
A grid index, the grid can be had using Key-Valve form, each grid by storing to remote sensing image
Index can be the one-dimensional coding of grid, while as the key value Key in database, the corresponding data of the grid can be used as number
According to the Value value in library.With the one-dimensional coding of grid directly as the grid index of database, in data acquisition, and can save
One layer of retrieval conversion is gone, data acquisition efficiency is further speeded up.Therefore it is obtained from database according to the one-dimensional coding of the first grid
Take the remote sensing image of the first grid.
Remote sensing image can refer to actual image content part in remote sensing image file, and remote sensing image may include multiple wave bands
Data, such as a remote sensing image may include R (red) wave band data, G (green) wave band data, B (blue) wave band data,
Infrared band data, temperature wave band data etc..
In some possible implementations of the embodiment of the present application, obtained from database according to the one-dimensional coding of the first grid
The realization of the remote sensing image of first grid may include:
The remote sensing image of the designated band of the first grid is obtained from database according to the one-dimensional coding of the first grid.
The remote sensing image of the corresponding any wave band of the first grid or whole wave bands can be obtained.
Step 304: according to inquiry request type, from the remote sensing image of the first grid analysis obtain remote sensing image image,
One or more remote sensing images analysis results as the first grid in remote sensing image vector and remote sensing image information.
In the embodiment of the present application, different types of analysis, obtained remote sensing image point can be carried out for remote sensing image
Image section, vector and/or other relevant informations that result can be remote sensing image are analysed, such as remote sensing image vector can be benefit
The point, line, surface isovector obtained with remote sensing images analysis can know the contour of building information etc. in remote sensing image.?
To remote sensing images analysis result can organize as specified file format.
In addition, in some possible implementations of the embodiment of the present application, it can also be by the remote sensing image of the first grid point
Analysis result is saved in result database, index and first of the remote sensing images analysis result of the first grid in result database
The one-dimensional coding of grid is consistent.
After obtaining the remote sensing images analysis result of the first grid, remote sensing images analysis result can also be kept separately
Use the one-dimensional coding of the first grid as the index of the remote sensing images analysis result in result database simultaneously, in order to needle
Each remote sensing images analysis result of first grid can be unified to save, so that different remote sensing images analysis results can be with
Binding analysis uses.
In this way, the available inquiry request for a certain geographic grid of the embodiment of the present application, by the one of the geographic grid
Dimension coding is available to arrive the corresponding remote sensing image of the geographic grid, may further obtain corresponding distant for the geographic grid
Image analysing computer is felt as a result, remote sensing images analysis result can be remote sensing image picture, remote sensing image vector and remote sensing image letter
One or more in breath, the embodiment of the present application carries out the analysis of remote sensing image as unit of geographic grid, and on the one hand analysis is
Remote sensing image within the scope of a certain geographic grid, the data volume analyzed is smaller, obtains the fast speed of analysis result, another party
Face remote sensing images analysis is the result is that have geography information, available a variety of different remote sensing images analysis knots to this area
Fruit generates remote sensing images analysis more convenient for the combined use of different industries analysis result under unified geographic grid system
Big value.
It is shown in Figure 4, remote sensing image storage method provided by the embodiments of the present application is carried out below in conjunction with practical application
Explanation.
Original remote sensing image file is preserved in grid index database, can be established distant according to space lattice system
Feel the grid index of the corresponding grids at different levels of image file, grid index can be the one-dimensional coding of each grid.It can be with net
Lattice are that unit initiates the inquiry request for being directed to a certain grid, determine the one-dimensional coding of the grid, and from grid index database
The remote sensing image for getting the grid supports the remote sensing image for obtaining any wave band during obtaining remote sensing image.Pass through
It is available to the analysis of remote sensing image a kind of or more into remote sensing image image, remote sensing image vector and remote sensing image information
Remote sensing images analysis result of the kind as first grid.Remote sensing images analysis result can be saved in result database,
Based on network analysis results management, new application can be extended in conjunction with the remote sensing images analysis achievement of different industries.For example,
In result database, if existing agricultural analysis achievement and meteorologic analysis achievement, in combination with the two data, to same mesh model
It encloses the more accurate agricultural production guidance of progress or yield is estimated；Similarly, it in combination with the density of population and building classification information, carries out
Business index analysis etc..
The embodiment of the present application carries out the acquisition and analysis of remote sensing image as unit of grid, reaches data volume and efficiency is controllable
Effect, while providing remote sensing images analysis as unit of grid, be convenient for parallel computation, based on unified space lattice system into
The scheduling of row remote sensing image, remote sensing images analysis and remote sensing images analysis results management, be conducive to all kinds of remote sensing images analysis at
The result of fruit is integrated, to obtain bigger data value.
Shown in Figure 5, the embodiment of the present application also provides a kind of remote sensing images analysis device, may include:
First acquisition unit 501, for obtaining the inquiry request for being directed to the first grid.
Determination unit 502, for determining the one-dimensional coding of the first grid.
Second acquisition unit 503, for obtaining the distant of the first grid from database according to the one-dimensional coding of the first grid
Feel image.
Analytical unit 504, for according to inquiry request type, analysis to obtain remote sensing shadow from the remote sensing image of the first grid
As the remote sensing images analysis knots as the first grid one or more in image, remote sensing image vector and remote sensing image information
Fruit.
In some possible implementations of the embodiment of the present application, second acquisition unit can be specifically used for:
The remote sensing image of the designated band of the first grid is obtained from database according to the one-dimensional coding of the first grid.
In some possible implementations of the embodiment of the present application, which can also include:
Storage unit, for the remote sensing images analysis result of the first grid to be saved in result database, the first grid
Remote sensing images analysis result in result database index it is consistent with the one-dimensional coding of the first grid.
In some possible implementations of the embodiment of the present application, which can also include:
First establishing unit, for establishing space lattice system, space lattice system includes 2 altogethernGrade grid, establishes space
The mode of grid system are as follows: using each region at 1 degree of 1 degree of longitude interval and latitude interval as benchmark within the scope of earth geography
Grid, using benchmark grid as the 9th grade of grid of space lattice system, by benchmark grid, gradually upward quaternary tree polymerization is given birth to respectively
At the 8th grade of grid of space lattice system to the 1st grade of grid, by benchmark grid, gradually downward quad-tree partition generates space respectively
The 10th grade of grid of grid system is to the 2ndnGrade grid；N is the integer greater than 3.
In some possible implementations of the embodiment of the present application, which can also include:
Second establishes unit, for according to space lattice system, establishing remote sensing image after receiving remote sensing image file
The grid index of the corresponding grids at different levels of file, grid index are the one-dimensional coding of each grid.
In this way, the available inquiry request for a certain geographic grid of the embodiment of the present application, by the one of the geographic grid
Dimension coding is available to arrive the corresponding remote sensing image of the geographic grid, may further obtain corresponding distant for the geographic grid
Image analysing computer is felt as a result, remote sensing images analysis result can be remote sensing image picture, remote sensing image vector and remote sensing image letter
One or more in breath, the embodiment of the present application carries out the analysis of remote sensing image as unit of geographic grid, and on the one hand analysis is
Remote sensing image within the scope of a certain geographic grid, the data volume analyzed is smaller, obtains the fast speed of analysis result, another party
Face remote sensing images analysis is the result is that have geography information, available a variety of different remote sensing images analysis knots to this area
Fruit generates remote sensing images analysis more convenient for the combined use of different industries analysis result under unified geographic grid system
Big value.
It should be noted that each embodiment in this specification is described in a progressive manner, each embodiment emphasis is said
Bright is the difference from other embodiments, and the same or similar parts in each embodiment may refer to each other.For reality
For applying system or device disclosed in example, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, phase
Place is closed referring to method part illustration.
It should also be noted that, herein, relational terms such as first and second and the like are used merely to one
Entity or operation are distinguished with another entity or operation, without necessarily requiring or implying between these entities or operation
There are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant are intended to contain
Lid non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of remote sensing images analysis method, which is characterized in that the described method includes:
Obtain the inquiry request for being directed to the first grid；
Determine the one-dimensional coding of first grid；
The remote sensing image of first grid is obtained from database according to the one-dimensional coding of first grid；
According to the inquiry request type, analysis obtains remote sensing image image, remote sensing from the remote sensing image of first grid
One or more remote sensing images analysis results as first grid in image vector and remote sensing image information.
2. the method according to claim 1, wherein according to the one-dimensional coding of first grid from database
Obtain the remote sensing image of first grid, comprising:
The remote sensing image of the designated band of first grid is obtained from database according to the one-dimensional coding of first grid.
3. the method according to claim 1, wherein the method also includes:
The remote sensing images analysis result of first grid is saved in result database, the remote sensing image of first grid
It is consistent with the one-dimensional coding of first grid to analyze index of the result in the result database.
4. the method according to claim 1, wherein the method also includes:
Space lattice system is established, the space lattice system includes 2 altogethernGrade grid, the mode for establishing space lattice system
Are as follows: using each region at 1 degree of 1 degree of longitude interval and latitude interval as benchmark grid within the scope of earth geography, by the base
9th grade grid of the quasi- grid as space lattice system, by the benchmark grid, gradually upward quaternary tree polymerization generates institute respectively
The 8th grade of grid of space lattice system is stated to the 1st grade of grid, gradually downward quad-tree partition generates respectively by the benchmark grid
The 10th grade of grid of the space lattice system is to the 2ndnGrade grid；N is the integer greater than 3.
5. according to the method described in claim 4, it is characterized in that, the method also includes:
After receiving remote sensing image file, according to the space lattice system, it is corresponding each to establish the remote sensing image file
The grid index of grade grid, the grid index are the one-dimensional coding of each grid.
6. a kind of remote sensing images analysis device, which is characterized in that described device includes:
First acquisition unit, for obtaining the inquiry request for being directed to the first grid；
Determination unit, for determining the one-dimensional coding of first grid；
Second acquisition unit, for obtaining the distant of first grid from database according to the one-dimensional coding of first grid
Feel image；
Analytical unit, for according to the inquiry request type, analysis to obtain remote sensing from the remote sensing image of first grid
One or more remote sensing images as first grid point in imaged image, remote sensing image vector and remote sensing image information
Analyse result.
7. device according to claim 6, which is characterized in that the second acquisition unit is specifically used for:
The remote sensing image of the designated band of first grid is obtained from database according to the one-dimensional coding of first grid.
8. device according to claim 6, which is characterized in that described device further include:
Storage unit, for the remote sensing images analysis result of first grid to be saved in result database, described first
Index of the remote sensing images analysis result of grid in the result database is consistent with the one-dimensional coding of first grid.
9. device according to claim 6, which is characterized in that described device further include:
First establishing unit, for establishing space lattice system, the space lattice system includes 2 altogethernGrade grid, the foundation
The mode of space lattice system are as follows: within the scope of earth geography using each region at 1 degree of 1 degree of longitude interval and latitude interval as
Benchmark grid gradually upward four pitches the benchmark grid using the benchmark grid as the 9th grade of grid of space lattice system
Tree polymerization generates the 8th grade of grid of the space lattice system to the 1st grade of grid respectively, by the benchmark grid gradually downward four
Fork tree divides generates the 10th grade of grid of the space lattice system to the 2nd respectivelynGrade grid；N is the integer greater than 3.
10. device according to claim 9, which is characterized in that described device further include:
Second establishes unit, for according to the space lattice system, establishing the remote sensing after receiving remote sensing image file
The grid index of the corresponding grids at different levels of image file, the grid index are the one-dimensional coding of each grid.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810065235.7A CN110110016B (en) | 2018-01-23 | 2018-01-23 | Remote sensing image analysis method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810065235.7A CN110110016B (en) | 2018-01-23 | 2018-01-23 | Remote sensing image analysis method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110110016A true CN110110016A (en) | 2019-08-09 |
| CN110110016B CN110110016B (en) | 2021-11-09 |
Family
ID=67483479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810065235.7A Active CN110110016B (en) | 2018-01-23 | 2018-01-23 | Remote sensing image analysis method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110110016B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110826509A (en) * | 2019-11-12 | 2020-02-21 | 云南农业大学 | Grassland fence information extraction system and method based on high-resolution remote sensing image |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254022A (en) * | 2011-07-27 | 2011-11-23 | 河海大学 | Method for sharing metadata of information resources of various data types |
| CN102609525A (en) * | 2012-02-10 | 2012-07-25 | 北京大学 | Method for unifying existing longitude and latitude subdividing grids |
| CN103108189A (en) * | 2013-03-01 | 2013-05-15 | 北京大学 | Beidou remote sensing image data transmission method |
| CN103136371A (en) * | 2013-03-21 | 2013-06-05 | 北京大学 | Subdivision identification generation method and data search method of multi-source space data |
| CN103167287A (en) * | 2013-03-01 | 2013-06-19 | 北京大学 | Selective receiving method based on remote sensing image data broadcast and distribution of spatial position |
| CN103942338A (en) * | 2014-05-08 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Mapping method, server and terminal |
| CN104063421A (en) * | 2014-05-14 | 2014-09-24 | 中交宇科（北京）空间信息技术有限公司 | Retrieval method and device for mass transportation remote sensing data |
| CN104166695A (en) * | 2014-07-31 | 2014-11-26 | 北京大学 | Subdivision, query and dynamic display method oriented to remote sensing data content |
| CN105022770A (en) * | 2015-01-07 | 2015-11-04 | 泰华智慧产业集团股份有限公司 | Geocoding method and geocoding system based on smart city |
| CN107153711A (en) * | 2017-05-19 | 2017-09-12 | 北京旋极伏羲大数据技术有限公司 | Geographic information data processing method and processing device |
| US20180018455A1 (en) * | 2016-07-12 | 2018-01-18 | Patrick Tardif | Password Card Hinting System |
-
2018
- 2018-01-23 CN CN201810065235.7A patent/CN110110016B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254022A (en) * | 2011-07-27 | 2011-11-23 | 河海大学 | Method for sharing metadata of information resources of various data types |
| CN102609525A (en) * | 2012-02-10 | 2012-07-25 | 北京大学 | Method for unifying existing longitude and latitude subdividing grids |
| CN103108189A (en) * | 2013-03-01 | 2013-05-15 | 北京大学 | Beidou remote sensing image data transmission method |
| CN103167287A (en) * | 2013-03-01 | 2013-06-19 | 北京大学 | Selective receiving method based on remote sensing image data broadcast and distribution of spatial position |
| CN103136371A (en) * | 2013-03-21 | 2013-06-05 | 北京大学 | Subdivision identification generation method and data search method of multi-source space data |
| CN103942338A (en) * | 2014-05-08 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Mapping method, server and terminal |
| CN104063421A (en) * | 2014-05-14 | 2014-09-24 | 中交宇科（北京）空间信息技术有限公司 | Retrieval method and device for mass transportation remote sensing data |
| CN104166695A (en) * | 2014-07-31 | 2014-11-26 | 北京大学 | Subdivision, query and dynamic display method oriented to remote sensing data content |
| CN105022770A (en) * | 2015-01-07 | 2015-11-04 | 泰华智慧产业集团股份有限公司 | Geocoding method and geocoding system based on smart city |
| US20180018455A1 (en) * | 2016-07-12 | 2018-01-18 | Patrick Tardif | Password Card Hinting System |
| CN107153711A (en) * | 2017-05-19 | 2017-09-12 | 北京旋极伏羲大数据技术有限公司 | Geographic information data processing method and processing device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110826509A (en) * | 2019-11-12 | 2020-02-21 | 云南农业大学 | Grassland fence information extraction system and method based on high-resolution remote sensing image |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110110016B (en) | 2021-11-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sidhu et al. | Using Google Earth Engine to detect land cover change: Singapore as a use case | |
| Zhu | GIS for environmental applications: a practical approach | |
| Berry | Fundamental operations in computer-assisted map analysis | |
| CN105069020B (en) | Natural resources data three-dimensional visual method and system | |
| Goodchild et al. | Development and test of an error model for categorical data | |
| Marsh et al. | The Canadian Hydrological Model (CHM) v1. 0: a multi-scale, multi-extent, variable-complexity hydrological model–design and overview | |
| Rübel et al. | TECA: A parallel toolkit for extreme climate analysis | |
| CN112115198A (en) | Urban remote sensing intelligent service platform | |
| Chebbi et al. | Improvement of satellite image classification: Approach based on Hadoop/MapReduce | |
| CN108804602A (en) | A kind of distributed spatial data storage computational methods based on SPARK | |
| CN109299298A (en) | Construction method, device, application method and the system of image fusion model | |
| Kennelly et al. | Elevation models for reproducible evaluation of terrain representation | |
| CN103177103A (en) | Three-dimensional geographical information system management platform | |
| CN104252549A (en) | Analytical well spacing method based on kriging interpolation | |
| CN112528508A (en) | Electromagnetic visualization method and device | |
| Kim et al. | Analysis of urbanization characteristics causing farmland loss in a rapid growth area using GIS and RS | |
| CN110110132A (en) | A kind of method, apparatus that establishing space lattice system and remote sensing image processing system | |
| KR20180093727A (en) | Automatically conversion system of GIS data | |
| Horvath et al. | Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models | |
| CN108733952A (en) | A kind of soil moisture content Spatial Variability three-dimensional characterizing method based on sequential simulation | |
| CN110110016A (en) | A kind of remote sensing images analysis method and device | |
| Le Hoang Son et al. | Developing JSG framework and applications in COMGIS project | |
| CN110070590A (en) | A kind of remote sensing image storage method and device | |
| Kolios et al. | Geographic Information Systems | |
| Okladnikov et al. | Development of a “cloud” thematic software complex for analysis of climatic and environmental changes |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210707 Address after: 100192 room 105, 1st floor, building 10, Tiandi Linfeng, No.1, yongtaizhuang North Road, Haidian District, Beijing Applicant after: Beijing Guoxing Aerospace Technology Co.,Ltd. Address before: 100083 Room 203, block B, science and technology wealth center, No.8 Xueqing Road, Haidian District, Beijing Applicant before: Beijing Yunyou Jiuzhou Space Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |