CN110110132A - A kind of method, apparatus that establishing space lattice system and remote sensing image processing system - Google Patents
A kind of method, apparatus that establishing space lattice system and remote sensing image processing system Download PDFInfo
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- CN110110132A CN110110132A CN201810064197.3A CN201810064197A CN110110132A CN 110110132 A CN110110132 A CN 110110132A CN 201810064197 A CN201810064197 A CN 201810064197A CN 110110132 A CN110110132 A CN 110110132A
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Abstract
This application discloses a kind of remote sensing image processing systems, and for realizing the quick processing to remote sensing image, which includes: space lattice system module, and for establishing space lattice system, space lattice system includes 2 altogethernGrade grid；Remote sensing image memory module is stored for the 1st grade of grid data to L grades of grids to remote sensing image, and L is the positive integer less than or equal to n；L grades of grids are the corresponding maximum mesh rank of remote sensing image determined according to resolution ratio；Space lattice scheduler module, for determining the grid coding of grid corresponding to query point, the grid coding of the grid according to corresponding to query point obtains the grid data of grid corresponding to query point from remote sensing image memory module.A kind of method and device for establishing space lattice system is also disclosed in the application.
Description
Technical field
This application involves Remote Sensing Image Processing Technology fields, and in particular to a kind of method for establishing space lattice system and dress
It sets, a kind of remote sensing image processing system.
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., remote sensing image under the mode
Data can not quick-searching, need carry out for a long time it is cumbersome processing can just continuously browse, seriously limit remote sensing image data
Using causing the due value of remote sensing image data that cannot be embodied and be excavated.
In the prior art, it is multistage tile number that common remote sensing image data processing mode, which is by remote sensing image pretreatment,
According to, it is suitble to the tile data of rank in the current browsing range of transmission when request browses a certain region, to save transmitted data amount,
Guarantee efficiency of transmission, is chiefly used in the application in internet as base map.But remote sensing image data cutting is needed for tile data
It spends a certain amount of time to pre-process, and causes memory space redundancy (about increasing by 1.5 times of memory spaces), while treated tile
Data are common image data, and all multi-sensor informations in original remotely-sensed data are lost, and picture browsing can only be carried out, cannot
Do deeper remote sensing analysis application.
Summary of the invention
In view of this, the application provides a kind of method and device for establishing space lattice system, a kind of processing of remote sensing image
System, to solve effectively carry out the technical issues of remote sensing image data processing in the prior art.
To solve the above problems, technical solution provided by the present application is as follows:
A method of space lattice system being established, the space lattice system includes 2 altogethernGrade grid, the method packet
It includes:
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 institute
State 9th grade grid of the benchmark grid as space lattice system；
By the benchmark grid, gradually upward quaternary tree polymerization generates the 8th grade of grid of the space lattice system extremely respectively
1st grade of grid；
By the benchmark grid, gradually downward quad-tree partition generates the 10th grade of grid of the space lattice system extremely respectively
2ndnGrade grid, n are the integer greater than 3.
A kind of device for establishing space lattice system, the space lattice system includes 2 altogethernGrade grid, described device packet
It includes:
Determination unit, within the scope of earth geography using each region at 1 degree of 1 degree of longitude interval and latitude interval as
Benchmark grid, using the benchmark grid as the 9th grade of grid of space lattice system；
First generation unit, for gradually upward quaternary tree polymerization to generate the space lattice respectively by the benchmark grid
8th grade of grid of system is to the 1st grade of grid；
Second generation unit, for gradually downward quad-tree partition to generate the space lattice respectively by the benchmark grid
The 10th grade of grid of system is to the 2ndnGrade grid, n are the integer greater than 3.
A kind of remote sensing image processing system, the system comprises:
Space lattice system module, for establishing space lattice system, the space lattice system includes 2 altogethernGrade grid,
The space lattice system module of establishing includes the device as claimed in claim 2 for establishing space lattice system, and n is greater than 3
Integer；
Remote sensing image memory module stores, L for the 1st grade of grid data to L grades of grids to remote sensing image
For the positive integer less than or equal to n；The L grades of grids are the corresponding maximum web of the remote sensing image determined according to resolution ratio
Lattice rank；
Space lattice scheduler module, for determining the grid coding of grid corresponding to query point, according to the query point institute
The grid coding of corresponding grid obtains the grid data of grid corresponding to the query point from the remote sensing image memory module.
Optionally, the system also includes:
Index module, for according to the space lattice system, establishing the remote sensing image after receiving remote sensing image
The corresponding 1st grade of grid index to L grades of grids, the grid index are the one-dimensional coding of each grid.
Optionally, the remote sensing image memory module is specifically used for:
Remote sensing image is extended outwardly to the L grade grid edges adjacent with the Remote Sensing Image Edge, expansion makes
It is filled with invalid value, generates updated remote sensing image；
According to size of data shared by the L grades of grids by the updated remote sensing image cutting be grid data, and
The grid data is stored as the grid data of L grades of grids；
The 1st grade of grid data to L-1 grades of grids is generated according to the grid data of the L grades of grids to be stored.
Optionally, the remote sensing image memory module is also used to:
Each wave band data of the 1st grade of grid data to L grades of grids of remote sensing image is carried out continuously by wave band and is deposited
Storage.
Optionally, the space lattice scheduler module determines that the process of the grid coding of grid corresponding to query point includes:
The coordinate value of query point is obtained, the coordinate value includes the first longitude and the first latitude value, first warp
Angle value and first latitude value are floating point values；
First longitude is converted to 2nFirst binary value of position, preceding 9 representatives of first binary value
The integer-bit of first longitude, the 10th to the 2nd of first binary valuenPosition represents the small of first longitude
Numerical digit；By preceding M reservations of first binary value, other positions 0 obtain the second binary value；
First latitude value is converted to 2nThe third binary value of position, preceding 9 representatives of the third binary value
The integer-bit of first latitude value, the 10th to the 2nd of the third binary valuenPosition represents the small of first latitude value
Numerical digit；By preceding M reservations of the third binary value, other positions 0 obtain the 4th binary value；
Second binary value and the 4th binary value are interted by turn and generate the corresponding M of the query point
The one-dimensional coding of grade grid, wherein 1≤M≤L, M are positive integer.
Optionally, the space lattice scheduler module is also used to:
The inquiry is obtained from the remote sensing image memory module according to the grid coding of grid corresponding to the query point
The grid data of the designated band of the corresponding grid of point.
Optionally, the system also includes:
Remote sensing images analysis module, for according to inquiry request type, the grid number of the grid corresponding to the query point
Analysis obtains remote sensing image image, remote sensing in the grid data of designated band in or from grid corresponding to the query point
One or more remote sensing images analysis as the first grid are as a result, the query point in image vector and remote sensing image information
For the angle point of first grid.
Optionally, the system also includes:
Result memory module is analyzed, for the remote sensing images analysis result of first grid to be saved in result database
In, index of the remote sensing images analysis result of first grid in the result database is one-dimensional with first grid
Coding is consistent.
It can be seen that the embodiment of the present application has the following beneficial effects:
The embodiment of the present application has initially set up the unified multistage space lattice system in a set of whole world, the space lattice system with
The region that 1 degree of longitude and latitude is as benchmark grid, step by step upward quaternary tree polymerization, step by step downward quad-tree partition generation 2nGrade net
Coordinate value as unit of spending can then be converted the longitude of query point and latitude component by lattice respectively in the embodiment of the present application
For binary value, mantissa is reset according to the rank inquired, the query point can be obtained in the grid of inquired level netlists
Coding；Meanwhile in the embodiment of the present application according to the grid data for being stored with each grid, according to query point in inquired rank
The grid coding of grid can quick obtaining to the corresponding grid data of the grid, reach the very fast irredundant of data acquisition,
Give full play to the effect that object is stored in remote sensing image field.
Detailed description of the invention
Fig. 1 is tile data slit mode in the prior art；
Fig. 2 is the schematic diagram of the space lattice system provided in the embodiment of the present application；
Fig. 3 is the flow chart of the method for establishing space lattice system provided in the embodiment of the present application；
Fig. 4 is the schematic diagram of the device for establishing space lattice system provided in the embodiment of the present application；
Fig. 5 is a kind of schematic diagram of the remote sensing image processing system provided in the embodiment of the present application；
Fig. 6 is the schematic diagram being extended to remote sensing image provided in the embodiment of the present application；
Fig. 7 is the schematic diagram of another remote sensing image processing system 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, it is multistage watt that common remote sensing image data scheduling mode, which is first by remote sensing image pretreatment,
Sheet data, shown in Figure 1, tile data slit mode is usually under latitude and longitude coordinates system, by the remote sensing shadow of global range
As Middle East hemispherical area and the Western Hemisphere region are respectively used as a top grid, then downward quaternary tree is drawn step by step by top grid
Point, so that remote sensing image is divided into multistage tile data, fitted in the current browsing range of transmission when request browses a certain region
The tile data of rank is closed, to realize the scheduling to remote sensing image data.
But this kind of mode, the prior art has at least the following problems: first, memory space is severely redundant, full rank tile data
Data volume is about 1.5 times of initial data, i.e., it is original that initial data is divided into the memory space occupied after tile data
2.5 times of beginning data；Second, cutting tile data is a very time-consuming process, and most tools for dividing tile
A large amount of artificial interference is needed, can be taken considerable time and manpower；Third, remote sensing image includes the information of multiple wave bands, different
Wave band can play different effects for different industries, and be that general after tile data only retain can by remote sensing image cutting
Seeing image causes the loss of data information, can only be used to remote sensing image clear as RGB (red, green, blue) three band class informations
It lookes at, it is impossible to be used in analysis application；4th, tile data and initial data are isolated, and tile data cannot embody initial data
Editor and update, it is thus possible to cause browsing tile data and the not consistent phenomenon of initial data.
For this purpose, the embodiment of the present application provides a kind of method and device for establishing space lattice system, define a set of new
The unified multistage space lattice system in the whole world, space lattice scheduling is realized based on the space lattice system, can be to polynary
The remote sensing image initial data of isomery carries out Real-Time Scheduling, and user can directly obtain the presentation content of designated space position, and
The information such as the specific storage location of remote sensing image, data format need not be paid close attention to, the efficiency of remote sensing image data scheduling is improved.
In the embodiment of the present application, it is necessary first to establish a set of space lattice system, which includes 2 altogethern
Grade grid, shown in Figure 3, the mode for establishing space lattice system may comprise steps of:
Step 301: 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.
Step 302: by benchmark grid, gradually upward quaternary tree polymerization generates the 8th grade of grid of space lattice system extremely respectively
1st grade of grid.
Step 303: by benchmark grid, gradually downward quad-tree partition generates the 10th grade of grid of space lattice system extremely respectively
2ndnGrade grid, n are the integer greater than 3.
It is shown in Figure 2, divide as base according to 1 degree of longitude and latitude within the scope of global geographic in the embodiment of the present application
Quasi- grid, such as 0 degree of the east longitude region to 1 degree of east longitude, within the scope of 90 degree of north latitude to 89 degree of north latitude are a benchmark grid, with this
Analogize, regard each region at 1 degree of 1 degree of longitude interval and latitude interval as benchmark grid within the scope of global geographic.The base
9th grade grid of the quasi- 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.
Whole degree longitude and latitude is both corresponded to for the 1st grade to the 9th grade in the space lattice system that the embodiment of the present application is established
Region, the region of the 9th grade of later rank is also the division to whole degree longitude and latitude, so that subsequent provided by the embodiments of the present application distant
Feel in image processing system, during determining grid coding, is not necessarily to a series of multiplication and division operation, it is only necessary to carry out bit arithmetic i.e.
It is achievable, as efficiently.And the division mode that the prior art is as shown in Figure 1, by the downward quaternary tree of 180 degree, grids at different levels are corresponding
Region by 180 degree to 90 degree to 45 degree to 22.5 degree, and so on, during determining grid coding, necessarily refer to band
The multiplication and division operation of a large amount of decimal points, computational efficiency are low.
Correspondingly, shown in Figure 4, the embodiment of the present application also provides a kind of device for establishing space lattice system, the dress
It sets and includes:
Determination unit 401, within the scope of earth geography by 1 degree of longitude interval and each region at 1 degree of latitude interval
As benchmark grid, using benchmark grid as the 9th grade of grid of space lattice system.
First generation unit 402, for gradually upward quaternary tree polymerization to generate space lattice system respectively by benchmark grid
The 8th grade of grid to the 1st grade of grid；
Second generation unit 403, for gradually downward quad-tree partition to generate space lattice system respectively by benchmark grid
10th grade of grid is to the 2ndnGrade grid, n are the integer greater than 3.
The device provided by the embodiments of the present application for establishing space lattice system is implemented with the method for establishing space lattice system
Example is corresponding, and related description may refer to establish the embodiment of the method part of space lattice system, and details are not described herein.
It is shown in Figure 5 based on the space lattice system established in the above manner, it shows in the embodiment of the present application and mentions
The remote sensing image processing system of confession may include:
Space lattice system module 501, for establishing space lattice system, space lattice system includes 2n grades of grids altogether,
Establishing space lattice system module includes the above-mentioned device for establishing space lattice system, and n is the integer greater than 3.
The space lattice system of foundation includes 2 altogethernGrade grid, the mode for establishing space lattice system may refer to above-mentioned reality
Example is applied, details are not described herein.
Remote sensing image memory module 502 is deposited for the 1st grade of grid data to L grades of grids to remote sensing image
Storage, L are the positive integer less than or equal to n；L grades of grids are the corresponding maximum mesh grade of remote sensing image determined according to resolution ratio
Not.
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..Remote sensing image storage mode may include Tile (tile) storage mode, generally
It is that remote sensing image is carried out to wide high grid dividing.
Remote sensing image can correspond to one and check resolution ratio required when the remote sensing image, can determine this according to the resolution ratio
The corresponding maximum mesh rank of remote sensing image, i.e., the maximum mesh rank in space lattice system can satisfy the resolution ratio
Requirement.For example, the 18th grade in space lattice system can satisfy the resolution requirement, then distant when resolution ratio is 0.15 meter
Feeling the corresponding maximum mesh rank of image is the 18th grade.It is understood that different remote sensing images can correspond to different points
Resolution.
In the embodiment of the present application, can the 1st grade of grid data to L grades of each grids at different levels to remote sensing image into
Row storage.
In general the upper left corner of remote sensing image is not the actual geographic that can be corresponded to just in a space lattice system
The upper left corner of grid is needing to obtain a certain actual geographic grid if remote sensing image is directly divided into grid data
It when data, needs to splice from multiple grid datas and obtains, the embodiment of the present application also first will after obtaining remote sensing image thus
Remote sensing image extends to whole sizing grid.
Therefore, in some possible implementations of the embodiment of the present application, remote sensing image memory module can be specifically used for:
Remote sensing image is extended outwardly to the L grade grid edges adjacent with the Remote Sensing Image Edge, expansion makes
It is filled with invalid value, generates updated remote sensing image；
According to size of data shared by the L grades of grids by the updated remote sensing image cutting be grid data, and
The grid data is stored as the grid data of L grades of grids；
The 1st grade of grid data to L-1 grades of grids is generated according to the grid data of the L grades of grids to be stored.
In the embodiment of the present application, shown in Figure 6 after determining the corresponding maximum mesh rank L of remote sensing image, it can be with
The edge of remote sensing image is propagated outward into L grades of adjacent grid edges of Remote Sensing Image Edge, in figure within solid black lines frame
Part be original remote sensing image region, the part within black dotted lines frame is the remote sensing image region updated after being extended,
Each grid is L grades of grids.If the remote sensing image after as can be seen from the figure extending is carried out according to geographic grid size
Cutting can then directly obtain data corresponding to any geographic grid.Abducent part can be carried out using invalid value
Filling, such as the data of whole wave bands are stuffed entirely with 0 value, specific filling mode can be selected according to the actual situation, this Shen
Please embodiment to this without limit.
In some possible implementations of the application, remote sensing image is extended outwardly to adjacent with Remote Sensing Image Edge
The implementation at L grades of grid edges may include:
Determine four angular coordinates of remote sensing image；
Determined L grades of grids where four angle points of remote sensing image as Corner-point Grids according to angular coordinate；
Region within Corner-point Grids and Corner-point Grids is determined as update area, remote sensing image is extended outwardly to more
The edge of new region.
In the present embodiment, actual geographic region corresponding to remote sensing image can be obtained simultaneously after obtaining remote sensing image,
Four angular coordinates are obtained, angular coordinate can be actual geographic position coordinates, generally be indicated by longitude and latitude value.By
Angular coordinate can calculate the L grades of grids that angle point is located at, then can determine the corresponding four angle point nets of remote sensing image
Lattice including four Corner-point Grids and may be considered update area, remote sensing image without departing from the whole region of four Corner-point Grids
The edge for extending outwardly to update area can obtain updated remote sensing image.
It, can be according to size of data shared by L grades of grids to updated remote sensing after remote sensing image in obtaining updated
Image carries out cutting, obtains each grid data.Since updated remote sensing image is that original remote sensing image extends to whole grid
What size obtained, then also corresponding data of available complete geographic grid after carrying out cutting to updated remote sensing image.
Size of data shared by every level-one grid can precalculate acquisition according to remote sensing image image pixel and included wave band number.
Again since in the space lattice system of the embodiment of the present application, upper level grid can obtain next stage net with quaternary tree
Lattice, such as quaternary tree is carried out to first order grid can obtain second level grid, therefore can be with by the grid data of L grades of grids
The grid data for generating L-1 grades to the 1st grade grids step by step is stored.
In addition, due to generally having multi-wavelength data in remote sensing image, it is distant in some possible implementations of the application
Sense image store module is also used to:
Each wave band data of the 1st grade of grid data to L grades of grids of remote sensing image is carried out continuously by wave band and is deposited
Storage.
It is stored for example using the continuous mode of wave band according to subband order RRR ... (R wave band), GGG ... (G wave
Section) BBB ... (B wave band) etc. is carried out continuously storage by wave band.Then when extracting data, it can directly be obtained from grid data
The data of a certain wave band are taken, it is highly efficient.
Space lattice scheduler module 503, for determining the grid coding of grid corresponding to query point, according to query point, institute is right
The grid coding of grid is answered to obtain the grid data of grid corresponding to query point from remote sensing image memory module.
Can include: with process what space lattice scheduler module determined the grid coding of grid corresponding to query point
The coordinate value of query point is obtained, the coordinate value includes the first longitude and the first latitude value, first warp
Angle value and first latitude value are floating point values；
First longitude is converted to 2nFirst binary value of position, preceding 9 representatives of first binary value
The integer-bit of first longitude, the 10th to the 2nd of first binary valuenPosition represents the small of first longitude
Numerical digit；By preceding M reservations of first binary value, other positions 0 obtain the second binary value；
First latitude value is converted to 2nThe third binary value of position, preceding 9 representatives of the third binary value
The integer-bit of first latitude value, the 10th to the 2nd of the third binary valuenPosition represents the small of first latitude value
Numerical digit；By preceding M reservations of the third binary value, other positions 0 obtain the 4th binary value；
Second binary value and the 4th binary value are interted by turn and generate the corresponding M of the query point
The one-dimensional coding of grade grid, wherein 1≤M≤L, M are positive integer.
In the embodiment of the present application, in order to dispatch the corresponding remote sensing image of query point, need to obtain query point it is corresponding certain
The grid coding of grade grid, the grid coding can be the one-dimensional coding of grid.The one-dimensional coding of a certain grid can identify this
Position of the grid on geographical scope.The corresponding grid rank M of query point can be according to the resolution of inquiry required in inquiry request
Rate determines.Such as need to inquire the region of 1 degree of range of longitude and latitude, the corresponding grid rank of query point can be determined as 9 grades of nets
Lattice, i.e. M=9.M grades of grids are the 1st grade of any level grid into L grades of grids.
During determining the grid coding of the corresponding M grades of grids of query point, the first longitude is converted to first
2nFirst binary value of position, the digit of the first binary value is consistent with the series of space lattice system, such as space lattice body
System is 32 grades, then the first binary value is also 32.First longitude is converted to 2nThe rule of the first binary value of position is,
First 9 of first binary value represent the integer-bit of the first longitude, and the 10th to the 2nd of the first binary valuenPosition represents the
The decimal place of one longitude.Such as first binary value be 32, then first 9 integer-bits for representing the first longitude, the 10th
The decimal place of the first longitude is represented to the 32nd.
Similar, the first latitude value can be converted to 2nPosition third binary value, the digit of third binary value with
The series of space lattice system is consistent, such as space lattice system is 32 grades, then third binary value is also 32.By the first latitude
Angle value is converted to 2nThe rule of the third binary value of position is that first 9 of third binary value represent the integer of the first latitude value
Position, the 10th to the 2nd of third binary valuenPosition represents the decimal place of the first latitude value.Such as third binary value is 32,
Then first 9 integer-bits for representing the first latitude value, the 10th represents the decimal place of the first latitude value to the 32nd.
Then, by M before the first binary value and the interception of third binary value, other positions 0 obtain the second binary system
It is corresponding can be interted generation query point by value and the 4th binary value by turn for second binary value and the 4th binary value
The one-dimensional coding of M grades of grids.Intert by turn and refers to the 1st of the second binary value and the 4th binary value as one-dimensional
The 1st and the 2nd of coding, by the 2nd of the second binary value and the 4th binary value the 3rd as one-dimensional coding
And the 4th, and so on.
It is visible above, grid coding is calculated by coordinate value, it is only necessary to the conversion between floating number and fixed-point number is carried out, and
The n times side's multiplication and division for not needing progress 2 calculate, ultrahigh in efficiency.Other grid dividings and the inevitable multiplication and division of coding mode at present
Operation.
Then the grid coding of the grid according to corresponding to query point is available described from the remote sensing image memory module
The grid data of grid corresponding to query point.
Specifically, can also the grid according to corresponding to the query point grid coding from the remote sensing image memory module
Obtain the grid data of the designated band of grid corresponding to the query point.
In this way, the embodiment of the present application has initially set up the unified multistage space lattice system in a set of whole world, the space lattice
System is using 1 degree of longitude and latitude of region as benchmark grid, upward quaternary tree polymerization, step by step downward quad-tree partition generation 2 step by stepn
Grade grid, then in the embodiment of the present application can be by the longitude of query point and latitude component respectively by the coordinate value as unit of spending
Binary value is converted to, resets mantissa according to the rank inquired, the query point can be obtained in inquired level netlists
Grid coding；Meanwhile it being inquired in the embodiment of the present application according to the grid data for being stored with each grid according to query point
The grid coding of level netlists can quick obtaining to the corresponding grid data of the grid, reach the very fast without superfluous of data acquisition
It is remaining, give full play to the effect that object is stored in remote sensing image field.
Shown in Figure 7, on the basis of the above embodiments, remote sensing image processing system provided by the embodiments of the present application is also
May include:
Index module 701, for according to the space lattice system, establishing the remote sensing after receiving remote sensing image
The corresponding 1st grade of grid index to L grades of grids of image, the grid index are the one-dimensional coding of each grid.
Storing to grid data can be using Key-Valve form, the 1st grade of each grid tool into L grades of grids
There is a grid index, which can be the one-dimensional coding of grid, while as the key value Key in database, grid pair
The grid data answered can be used as the Value value in database.With the one-dimensional coding of grid directly as the grid rope of database
Draw, in data acquisition, and one layer of retrieval conversion can be saved, further speed up data acquisition efficiency.
In practical applications, can be by the angle point of grid, such as lower-left angle point, the query point being considered as in above-described embodiment,
In the way of the grid coding provided by the above embodiment for obtaining grid, the 1st grade of one-dimensional volume to L grades of grids can be determined
Code is used as grid index.
In addition, the embodiment of the present application can also carry out the analysis of remote sensing image as unit of geographic grid, on the one hand analyze
Be remote sensing image within the scope of a certain geographic grid, the data volume analyzed is smaller, obtains the fast speed of analysis result, separately
The result is that having geography information, available a variety of different remote sensing images to this area divide one side remote sensing images analysis
Analysis produces remote sensing images analysis as a result, convenient for the combined use of different industries analysis result under unified geographic grid system
Raw bigger value.
Therefore, remote sensing image processing system provided by the embodiments of the present application can also include:
Remote sensing images analysis module 702, for according to inquiry request type, the grid of the grid corresponding to the query point
Analysis obtains remote sensing image image, distant in the grid data of designated band in data or from grid corresponding to the query point
One or more remote sensing images analysis as the first grid are as a result, the inquiry in sense image vector and remote sensing image information
Point is the angle point of 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.
The angle point of first grid can be considered as query point, so that the one-dimensional coding of the first grid is obtained, it is one-dimensional according to this
Coding can obtain the remote sensing image of the first grid from remote sensing image memory module.Obtain the net of grid corresponding to query point
The grid data of the designated band of grid corresponding to lattice data or query point.
Then different types of analysis can be carried out for remote sensing image, obtained remote sensing images analysis result can be distant
Feel image section, vector and/or other relevant informations of image, such as remote sensing image vector can be to utilize remote sensing images analysis
Obtained point, line, surface isovector can know the contour of building information etc. in remote sensing image.Obtained remote sensing image point
Analysis result can be organized as specified file format.
Result memory module 703 is analyzed, for the remote sensing images analysis result of first grid to be saved in number of results
According in library, index of the remote sensing images analysis result of first grid in the result database and first grid
One-dimensional coding 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 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 method for establishing space lattice system, which is characterized in that the space lattice system includes 2 altogethernGrade grid, institute
The method of stating includes:
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 the polymerization of upward quaternary tree generates the 8th grade of grid of the space lattice system to the 1st respectively
Grade grid；
By the benchmark grid, gradually downward quad-tree partition generates the 10th grade of grid of the space lattice system to the 2nd respectivelynGrade
Grid, n are the integer greater than 3.
2. a kind of device for establishing space lattice system, which is characterized in that the space lattice system includes 2 altogethernGrade grid, institute
Stating device includes:
Determination unit, within the scope of earth geography using each region at 1 degree of 1 degree of longitude interval and latitude interval as benchmark
Grid, using the benchmark grid as the 9th grade of grid of space lattice system；
First generation unit, for gradually upward quaternary tree polymerization to generate the space lattice system respectively by the benchmark grid
The 8th grade of grid to the 1st grade of grid；
Second generation unit, for gradually downward quad-tree partition to generate the space lattice system respectively by the benchmark grid
10th grade of grid is to the 2ndnGrade grid, n are the integer greater than 3.
3. a kind of remote sensing image processing system, which is characterized in that the system comprises:
Space lattice system module, for establishing space lattice system, the space lattice system includes 2 altogethernGrade grid, it is described
Establishing space lattice system module includes the device as claimed in claim 2 for establishing space lattice system, and n is the integer greater than 3；
Remote sensing image memory module is stored for the 1st grade of grid data to L grades of grids to remote sensing image, and L is small
In or equal to n positive integer；The L grades of grids are the corresponding maximum mesh grade of the remote sensing image determined according to resolution ratio
Not；
Space lattice scheduler module, for determining the grid coding of grid corresponding to query point, according to corresponding to the query point
The grid coding of grid obtains the grid data of grid corresponding to the query point from the remote sensing image memory module.
4. system according to claim 3, which is characterized in that the system also includes:
Index module, for according to the space lattice system, it is corresponding to establish the remote sensing image after receiving remote sensing image
The 1st grade of grid index to L grades of grids, the grid index be each grid one-dimensional coding.
5. system according to claim 3 or 4, which is characterized in that the remote sensing image memory module is specifically used for:
Remote sensing image is extended outwardly to the L grade grid edges adjacent with the Remote Sensing Image Edge, expansion uses nothing
Valid value is filled, and generates updated remote sensing image；
It by the updated remote sensing image cutting is grid data according to size of data shared by the L grades of grids, and to institute
The grid data that grid data is stated as L grades of grids is stored；
The 1st grade of grid data to L-1 grades of grids is generated according to the grid data of the L grades of grids to be stored.
6. system according to claim 5, which is characterized in that the remote sensing image memory module is also used to:
Storage is carried out continuously by wave band to each wave band data of the 1st grade of grid data to L grades of grids of remote sensing image.
7. system according to claim 3 or 4, which is characterized in that the space lattice scheduler module determines query point institute
The process of the grid coding of corresponding grid includes:
The coordinate value of query point is obtained, the coordinate value includes the first longitude and the first latitude value, first longitude
And first latitude value is floating point values；
First longitude is converted to 2nFirst binary value of position, first 9 of first binary value represent described the
The integer-bit of one longitude, the 10th to the 2nd of first binary valuenPosition represents the decimal place of first longitude；
By preceding M reservations of first binary value, other positions 0 obtain the second binary value；
First latitude value is converted to 2n third binary values, described in first 9 of the third binary value represent
The integer-bit of first latitude value, the 10th of the third binary value represents the decimal of first latitude value to 2n
Position；By preceding M reservations of the third binary value, other positions 0 obtain the 4th binary value；
Second binary value and the 4th binary value are interted by turn and generate the corresponding M grades of nets of the query point
The one-dimensional coding of lattice, wherein 1≤M≤L, M are positive integer.
8. system according to claim 3 or 4, which is characterized in that the space lattice scheduler module is also used to:
The query point institute is obtained from the remote sensing image memory module according to the grid coding of grid corresponding to the query point
The grid data of the designated band of corresponding grid.
9. system according to claim 8, which is characterized in that the system also includes:
Remote sensing images analysis module is used for according to inquiry request type, from the grid data of grid corresponding to the query point
Or analysis obtains remote sensing image image, remote sensing image in the grid data of the designated band from grid corresponding to the query point
One or more remote sensing images analysis as the first grid are as a result, the query point is institute in vector and remote sensing image information
State the angle point of the first grid.
10. system according to claim 9, which is characterized in that the system also includes:
Result memory module is analyzed, for the remote sensing images analysis result of first grid to be saved in result database,
The one-dimensional volume of index and first grid of the remote sensing images analysis result of first grid in the result database
Code is consistent.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111914047A (en) * | 2020-07-16 | 2020-11-10 | 苏州数字地图信息科技股份有限公司 | Geographic entity grid generation method, device and medium based on two-dimensional code doorplate |
| CN112364044A (en) * | 2020-10-13 | 2021-02-12 | 中国人民解放军61243部队 | Land border sensor data system based on grid coding and linear reference |
| CN112667605A (en) * | 2021-01-15 | 2021-04-16 | 航天科工智能运筹与信息安全研究院(武汉)有限公司 | Construction method and device of urban information multilevel grid for industry application |
| CN113282584A (en) * | 2021-05-28 | 2021-08-20 | 福州大学 | Method and system for searching space-time cube data of earth observation image |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138682A1 (en) * | 2011-11-29 | 2013-05-30 | Oracle International Corporation | Hierarchical grid for spatial querying |
| CN103139325A (en) * | 2013-03-01 | 2013-06-05 | 北京大学 | Network address design method and data resource scheduling method based on geographic SOT (GeoSOT) subdivision codes |
| 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 |
-
2018
- 2018-01-23 CN CN201810064197.3A patent/CN110110132A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138682A1 (en) * | 2011-11-29 | 2013-05-30 | Oracle International Corporation | Hierarchical grid for spatial querying |
| CN103139325A (en) * | 2013-03-01 | 2013-06-05 | 北京大学 | Network address design method and data resource scheduling method based on geographic SOT (GeoSOT) subdivision codes |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 程承旗 等: "地球空间参考网格系统建设初探", 《北京大学学报（自然科学版）》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111914047A (en) * | 2020-07-16 | 2020-11-10 | 苏州数字地图信息科技股份有限公司 | Geographic entity grid generation method, device and medium based on two-dimensional code doorplate |
| CN111914047B (en) * | 2020-07-16 | 2024-03-12 | 苏州数字地图信息科技股份有限公司 | Geographic entity grid generation method, device and medium based on two-dimension code doorplate |
| CN112364044A (en) * | 2020-10-13 | 2021-02-12 | 中国人民解放军61243部队 | Land border sensor data system based on grid coding and linear reference |
| CN112364044B (en) * | 2020-10-13 | 2022-10-14 | 中国人民解放军61243部队 | Land border sensor data system based on grid coding and linear reference |
| CN112667605A (en) * | 2021-01-15 | 2021-04-16 | 航天科工智能运筹与信息安全研究院(武汉)有限公司 | Construction method and device of urban information multilevel grid for industry application |
| CN112667605B (en) * | 2021-01-15 | 2023-07-28 | 航天科工智能运筹与信息安全研究院(武汉)有限公司 | Construction method and device of urban information multi-level grid for industry application |
| CN113282584A (en) * | 2021-05-28 | 2021-08-20 | 福州大学 | Method and system for searching space-time cube data of earth observation image |
| CN113282584B (en) * | 2021-05-28 | 2022-05-03 | 福州大学 | Method and system for searching space-time cube data of earth observation image |
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