CN109359205A - A kind of remote sensing image cutting method and equipment based on geographical grid - Google Patents

A kind of remote sensing image cutting method and equipment based on geographical grid Download PDF

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Publication number
CN109359205A
CN109359205A CN201811004785.4A CN201811004785A CN109359205A CN 109359205 A CN109359205 A CN 109359205A CN 201811004785 A CN201811004785 A CN 201811004785A CN 109359205 A CN109359205 A CN 109359205A
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cutting
remote sensing
sensing image
image
grid
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Inventor
刘哲
胡鑫磊
姚远
熊全
刘帝佑
刘玮
张琳
汪雪滢
昝糈莉
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China Agricultural University
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China Agricultural University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The embodiment of the present invention provides a kind of remote sensing image cutting method and equipment based on geographical grid.Wherein, method includes: the remote sensing image cutting instruction sent according to load-balanced server, target remote sensing image is extracted from remote sensing image storage server, and the cutting status code of the target remote sensing image is searched from metadata storage server;If cutting state corresponding to the cutting status code is isloation state to be cut, based on geographical grid, cutting is carried out to the target remote sensing image.Method and apparatus provided in an embodiment of the present invention, by storing remote sensing image into remote sensing image storage server, the metadata of remote sensing image is stored into metadata storage server, remote sensing image and metadata are stored separately, reduces the pressure of storage server.And the United Dispatching of segmentation task is carried out by load-balanced server, so that the pressure of each calculation server is relatively average, to improve the cutting rate of remote sensing image.

Description

A kind of remote sensing image cutting method and equipment based on geographical grid
Technical field
The present embodiments relate to remote sensing image data organizing and management techniques fields, more particularly to one kind is based on geographical grid Remote sensing image cutting method and equipment.
Background technique
With the development of mankind's satellite-missile observation system over the ground, multi-source, multiple dimensioned, multidate, complete is gradually presented in remote sensing image The features such as ball covering and high-resolution, data volume explosive increase form the development trend of GB grades, TB grades even PB grades.It faces The remote sensing image of magnanimity, geographical grid are undoubtedly a kind of effective data organization and management mode.Wherein, geographical grid is one Kind unification, simple geographical space divides and positioning reference system, according to uniform rules, by ground region according to certain longitude and latitude Or ground distance carries out continuous cutting, formation rule polygon, each polygon is referred to as grid, to constitute classification, layering Secondary multi-level grid spatio system realizes ground space discretization, and assigns Unified coding.How remote sensing image is fast and effeciently realized Cutting, still image data organization and administration important way and remotely-sensed data analysis with application important leverage, The challenge urgently to be solved faced as the application of current remote sensing industryization.
In recent years, domestic and foreign scholars (carry out remote sensing image based on geographical grid in the grid cutting of remote sensing image Cutting) aspect done many research and trial, propose many cutting methods.In these cutting methods, the most commonly used is Following two method:
The first is to use the semi-automatic cutting of commercial software, and another kind is on single machine with prgraming automatized realization cutting. First method trivial operations, workload be huge, low efficiency, can not cope with the remote sensing image of magnanimity completely.In second method Server not only undertakes calculating task, but also undertakes store tasks, and the pressure of server is larger, can not also cope with the remote sensing shadow of magnanimity Picture.
Summary of the invention
For the technical problems in the prior art, the embodiment of the present invention provides a kind of remote sensing shadow based on geographical grid As cutting method and equipment.
In a first aspect, the embodiment of the present invention provides a kind of remote sensing image cutting method based on geographical grid, comprising:
The remote sensing image cutting instruction sent according to load-balanced server, extracts mesh from remote sensing image storage server Remote sensing image is marked, and searches the cutting status code of the target remote sensing image from metadata storage server;
If cutting state corresponding to the cutting status code is isloation state to be cut, based on geographical grid, to the mesh It marks remote sensing image and carries out cutting.
Second aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory Computer program that is upper and can running on a processor, is realized when the processor executes described program as first aspect provides Method the step of.
The third aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating Machine program is realized as provided by first aspect when the computer program is executed by processor the step of method.
A kind of remote sensing image cutting method and equipment based on geographical grid provided in an embodiment of the present invention, by by remote sensing Image store stores the metadata of remote sensing image into metadata storage server into remote sensing image storage server, will Remote sensing image and metadata are stored separately, and reduce the pressure of storage server.And cutting is carried out by load-balanced server The United Dispatching of task, so that the pressure of each calculation server is relatively average, to improve the execution of segmentation task Rate, that is, improve the cutting rate of remote sensing image.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of remote sensing image cutting method flow chart based on geographical grid provided in an embodiment of the present invention;
Fig. 2 is the composition schematic diagram of metadata table provided in an embodiment of the present invention;
Fig. 3 is a kind of correspondence diagram of target remote sensing image and projection zone provided in an embodiment of the present invention;
Fig. 4 is a kind of projection zone's file schematic diagram provided in an embodiment of the present invention;
Fig. 5 is a kind of structural representation of the remote sensing image cutting system based on geographical grid provided in an embodiment of the present invention Figure;
Fig. 6 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of remote sensing image cutting method flow chart based on geographical grid provided in an embodiment of the present invention, the party The executing subject of method is calculation server, as shown in Figure 1, this method comprises:
Step 101, it is instructed according to the remote sensing image cutting that load-balanced server is sent, from remote sensing image storage server Middle extraction target remote sensing image, and search from metadata storage server the cutting status code of the target remote sensing image.
Step 102, if cutting state corresponding to the cutting status code is isloation state to be cut, it is based on geographical grid, Cutting is carried out to the target remote sensing image.
The application environment of this method is illustrated first:
It include multiple servers in application environment, this multiple server specifically includes: remote sensing image storage server, first number According to storage server, calculation server set and load-balanced server.
Wherein, remote sensing image storage server, includes the first memory space and the second memory space, and the first memory space is used In storage remote sensing image, the second memory space is used to store and carry out in each grid obtained after grid cutting to remote sensing image Sub-image.
Metadata storage server is used to store the metadata of each remote sensing image in remote sensing image storage server, first number According to the data to describe data, it is mainly used for describing the attribute of data.In embodiments of the present invention, metadata includes at least remote sensing The cutting status code of image.Cutting status code is used to describe the cutting state of remote sensing image, and cutting state may include: to be slit State, just in cutting state, cutting success status and cutting status of fail, correspondingly, cutting status code can be with are as follows: 0, -3,1, - 1.It should be noted that cutting state in addition to above-mentioned four kinds of states, can also have other states, also, cutting status code is except upper It states outside four kinds of values, also desirable other values, the present invention is not especially limit this.
It include multiple calculation servers in calculation server set, each calculation server is used to execute cutting and appoints Business, i.e., for carrying out cutting to remote sensing image.
Load-balanced server is used to carry out the United Dispatching of segmentation task, that is, determines when which calculates service by Device executes segmentation task.Specifically, in the real-time calculation server set of load-balanced server each calculation server calculating Resource, to determine that current or subsequent time should execute the calculating of segmentation task according to the computing resource of each calculation server Server, and the instruction for executing segmentation task (i.e. remote sensing image cutting instructs) is sent to corresponding calculation server.
For step 101, calculation server is instructed according to the remote sensing image cutting that load-balanced server is sent, from remote sensing Target remote sensing image is extracted in image store server, and the cutting of target remote sensing image is searched from metadata storage server Status code.
Specifically, calculation server can be instructed according to remote sensing image cutting, and first from remote sensing image storage server is empty Between in randomly select a remote sensing image as target remote sensing image.It is of course also possible to there is another mode to be extracted, That is, having carried the information of remote sensing image to be extracted, such as number and title etc. in remote sensing image cutting instruction, clothes are calculated Business device can store directly according to the information of the remote sensing image to be extracted carried in remote sensing image cutting instruction from remote sensing image Corresponding remote sensing image is extracted in server as target remote sensing image.
For step 102, if calculation server knows that cutting state corresponding to the cutting status code is shape to be slit State carries out cutting to the target remote sensing image then based on geographical grid.
Specifically, since target remote sensing image may be the successful image of cutting, in order to avoid Repetitive Word Segmentation, After calculation server is drawn into target remote sensing image, the cutting status code according to target remote sensing image is needed, determines target remote sensing The cutting state of image.Also, only when the cutting state of target remote sensing image is isloation state to be cut, just to target remote sensing shadow As carrying out grid cutting.
Method provided in an embodiment of the present invention will be distant by storing remote sensing image into remote sensing image storage server The metadata of sense image is stored into metadata storage server, remote sensing image and metadata is stored separately, compared to existing Remote sensing image and metadata are stored into a storage server in technology, reduce remote sensing image storage server respectively With the pressure of metadata storage server.Also, it executes cutting by multiple calculation servers in calculation server set to appoint Business, and by the United Dispatching of load-balanced server progress segmentation task, so that the pressure of each calculation server compares It is average, to improve the execution rate of segmentation task, that is, improve the cutting rate of remote sensing image.
On the basis of the various embodiments described above, instructed according to the remote sensing image cutting that load-balanced server is sent, from distant Feel and extract target remote sensing image in image store server, and searches the target remote sensing image from metadata storage server Cutting status code, before further include:
All remote sensing images are stored into remote sensing image server.For each remote sensing image, the remote sensing shadow is obtained The metadata of picture, and the metadata of all remote sensing images composition metadata table is stored into metadata storage server.
Specifically, the embodiment of the present invention stresses before the initiation and execution of segmentation task, how to application environment It is arranged, that is, how to create server cluster.It should be noted that being taken in addition to storing corresponding data to remote sensing image It is engaged in device or metadata storage server, also needing configuration includes the calculation server set and load balancing of multiple calculation servers Server.The function of four kinds of servers is described in detail in the above-described embodiments, and details are not described herein again.
Specifically, metadata is further described in the embodiment of the present invention:
Metadata is the data for describing data, imaging of the metadata of remote sensing image commonly used to record remote sensing image Information analyzes the remote sensing image any remote sensing image, can obtain the metadata of the remote sensing image, remote sensing image Metadata can specifically include: reference number of a document, file name and cutting status code etc., particular content is shown in Table 1, wherein table 1 is The metadata schematic table of remote sensing image.
The metadata schematic table of 1 remote sensing image of table
Table 1 shows the metadata of each remote sensing image, by first array of all remote sensing images at metadata table, and will be first Tables of data is stored into metadata storage server, wherein Fig. 2 is that the composition of metadata table provided in an embodiment of the present invention is illustrated Figure, as shown in Fig. 2, every a line is the metadata of a remote sensing image in metadata table.
Method provided in an embodiment of the present invention, by each remote sensing image carry out analysis generate corresponding metadata to The remote sensing image is described, and by the metadata of all remote sensing images in remote sensing image storage server composition metadata table to deposit Storage is into metadata storage server, so that being drawn into any remote sensing from remote sensing image storage server in calculation server Before image is to carry out cutting, the cutting state in metadata that the remote sensing image can be found from metadata storage server Code, and then determine whether to carry out cutting to the remote sensing image, technical foundation is provided for the cutting of remote sensing image.
On the basis of the various embodiments described above, if cutting state corresponding to the cutting status code is isloation state to be cut, The cutting status code of the target remote sensing image is then updated to the just cutting status code corresponding to cutting state.
It specifically, therewith can be right if calculation server knows that the cutting state of target remote sensing image is isloation state to be cut Target remote sensing image carries out cutting, at this time, it may be necessary to which the cutting status code of target remote sensing image is updated to just in cutting state institute Corresponding cutting status code.If cutting status code corresponding to isloation state to be cut is 0, just the cutting shape corresponding to cutting state State code is -3, then is updated to -3 for 0.Specific renewal process can be with are as follows: if calculation server knows the cutting of target remote sensing image Status code is 0, then determine target remote sensing image cutting state be just in cutting state, and send change cutting state instruction Metadata storage server is given, so that metadata storage server is updated the cutting status code of target remote sensing image.
Method provided in an embodiment of the present invention, by the cutting status code to the target remote sensing image that will carry out cutting into Row updates, so that when carrying out cutting to the target remote sensing image, if other calculation servers are drawn into the target remote sensing image Cutting will not be carried out to the target remote sensing image, ensure that a remote sensing image can only be serviced a moment by a calculating Device cutting effectively prevents appearance of the more calculation servers simultaneously to same remote sensing image cutting situation, to ensure that The uniqueness and correctness of remote sensing image cutting.
On the basis of the various embodiments described above, if cutting state corresponding to the cutting status code is isloation state to be cut, Locking operation then is carried out to the target remote sensing image.
It specifically, therewith can be right if calculation server knows that the cutting state of target remote sensing image is isloation state to be cut Target remote sensing image carries out cutting, also, other calculation servers carry out cutting to the target remote sensing image in order to prevent, need Locking operation is carried out to the target remote sensing image.
It should be noted that locking is a kind of operating technology to database, when concurrent transaction accesses a resource simultaneously When, it is possible to cause data inconsistent, it is therefore desirable to which a kind of mechanism is by data access sequences, to guarantee database data Consistency.Lock is exactly one such mechanism.Locking is to realize a very important technology of database concurrency control.Work as thing Business is first issued to system and is requested, lock to it before operating to some data object.Affairs are just to the data pair after locking As there is certain control, before affairs release lock, other affairs cannot be updated operation to this data object.Tool Body, in embodiments of the present invention, after carrying out locking operation to the target remote sensing image, other calculation servers would not be to this Target remote sensing image carries out cutting.
Method provided in an embodiment of the present invention, by being locked to the target remote sensing image that will carry out cutting, so that To the target remote sensing image carry out cutting when, if other calculation servers be drawn into the target remote sensing image will not be to the mesh It marks remote sensing image and carries out cutting, ensured that a remote sensing image can only be by a calculation server cutting, effectively a moment Appearance of the more calculation servers simultaneously to same remote sensing image cutting situation is avoided, to ensure that remote sensing image cutting Uniqueness and correctness.
On the basis of the various embodiments described above, if cutting state corresponding to the cutting status code is isloation state to be cut, Then based on geographical grid, cutting is carried out to the target remote sensing image, later further include:
After preset time period, determine whether cutting is successful to the target remote sensing image.If cutting success, by institute The cutting status code for stating target remote sensing image is updated to cutting status code corresponding to cutting success status.If cutting fails, The cutting status code of the target remote sensing image is updated to cutting status code corresponding to cutting status of fail.
Specifically, it may require that the regular hour since calculation server carries out cutting to target remote sensing image, this hair A preset time period is set in bright embodiment, in general, calculation server can be completed distant to target in the preset time period Feel the cutting of image.If after the preset time period, the cutting status code of target remote sensing image is then updated to by cutting success Otherwise the cutting status code of target remote sensing image is then updated to cutting and lost by cutting status code corresponding to cutting success status Lose cutting status code corresponding to state.That is, if just the cutting status code corresponding to cutting state is -3, cutting success status Corresponding cutting status code is 1, and cutting status code corresponding to cutting status of fail is -1, if then cutting success, more by -3 New is 1, otherwise, is updated to -1 for -3.
On the basis of the various embodiments described above, if cutting fails, the title and number of the target remote sensing image are recorded, And the cutting status code of the target remote sensing image is updated to cutting status code corresponding to isloation state to be cut.
Specifically, it if calculation server fails to target remote sensing image cutting, needs again to the target remote sensing image Cutting is carried out, therefore, if cutting status code corresponding to cutting status of fail is -1, cutting state corresponding to isloation state to be cut Code is 0, then needs the cutting status code of the target remote sensing image being updated to 0 by -1.
On the basis of the various embodiments described above, based on geographical grid, cutting is carried out to the target remote sensing image, further Include:
The target remote sensing image is determined under WGS1984 points of band projection plane coordinates systems based on RDCRMG geography grid Locating projection zone, and determine that the number of locating projection zone is the first quantity.According to throwing locating for the target remote sensing image The target remote sensing image cutting is the first quantity sub-image, wherein have a son in each projection zone by shadow bands Image.The first quantity thread is opened, so that each thread carries out cutting to the sub-image in a projection zone.
It should be noted that the target remote sensing image in the embodiment of the present invention is selected as ground farmland remote sensing image, RDCRMG geography grid is the cleaning of multistage raster data and recombination lattice suitable for Field Scale drought remote sensing monitoring actual demand Net system.The core concept of RDCRMG is based on different interval under WGS1984 points of band projection plane coordinates systems in survey region Multi-level grid system is established, remote sensing image corresponds to different grid levels according to its spatial resolution, then on the basis of this Subdivision and recombination are carried out to remote sensing image using grid as unit, grid internal data is based on Raster Data Model tissue and stores and establish picture The mathematical relationship of first image space coordinate dative selvage circle object coordinates simplifies number with unified Methods on Multi-Sensors RS Image organization regulation According to extraction and treatment process.
Specifically, in embodiments of the present invention, WGS1984 points of band projection plane coordinates systems are by ground distributor for multiple projections Band corresponds target remote sensing image with projection zone, to determine projection zone locating for target remote sensing image, and determines institute The number of the projection zone at place is the first quantity.
Fig. 3 is a kind of correspondence diagram of target remote sensing image and projection zone provided in an embodiment of the present invention, such as Fig. 3 Shown, the number of projection zone locating for the target remote sensing image is 5, that is, the target remote sensing image spans 5 projection zones. It is 5 sub-images by the target remote sensing image cutting, wherein have a sub- shadow in each projection zone according to this 5 projection zones Picture.
Make the calculation server and meanwhile open 5 threads, wherein each thread to the sub-image in a projection zone into Row cutting.
Method provided in an embodiment of the present invention, by knowing the quantity of projection zone locating for target remote sensing image, to open Same amount of thread, so that multiple threads simultaneously cut the sub-image in respective projection zone when quantity is multiple Point, the characteristic of concurrent processing makes cutting rapider, improves cutting efficiency.
On the basis of the various embodiments described above, each thread carries out cutting to the sub-image in a projection zone, further Include:
Each thread carries out hundred kilometers of cuttings to the sub-image in a projection zone, in the every 100 kilometers of grid of determination Sub-image.After the equal cutting success of sub-image in all projection zones, for the sub-image in every 100 kilometers of grid, the is opened Two quantity threads, so that each thread carries out ten kilometers of cuttings to the sub-image in hundred kilometers of grid, it is every to determine Sub-image in 10 kilometers of grid.
It specifically,, all can should for the sub-image in each projection zone according to the segmentation rules of RDCRMG geography grid Sub-image carries out hundred kilometers of grid cuttings, and for the sub-image in each hundred kilometers of grid, it is public all to carry out ten to the sub-image League (unit of length) net cutting.By taking a thread in calculation server carries out the process of cutting to the sub-image a in a projection zone A as an example It is illustrated:
Grid cutting is carried out to sub-image a by hundred kilometers of grid first, that is, determine hundred kilometers of lattice locating for sub-image a Then net determines the sub-image in each hundred kilometers of grid.For the sub-image in each hundred kilometers of grid, to the sub- shadow As carrying out ten kilometers of grid cuttings, slit mode is consistent with hundred kilometers of grid slit modes, and details are not described herein again.It needs to illustrate It is that hundred kilometers of grid for basic unit, are used to store 30 meters of resolution remote sense images, ten kilometers of grid with hundred kilometers (100KM) With hundred kilometers (10KM) for basic unit, for storing 16 meters, 8 meters, 5 meters, 4 meters of resolution remote sense images.
It should be noted that after 5 sub-images only in 5 projection zones complete hundred kilometers of grid cuttings, just into Ten kilometers of grid cuttings of row.When carrying out ten kilometers of grid cuttings to the sub-image in hundred kilometers of grid, the second number is opened A thread is measured, so that each thread carries out ten kilometers of cuttings to the sub-image in hundred kilometers of grid, so that it is determined that each Sub-image in a ten kilometers of grid.Here the second quantity is determined as the case may be, is usually chosen 4~8, is worked as selection When numerical value within the scope of this is as the second quantity, the fast speed of cutting and relatively stable.
On the basis of the various embodiments described above, since the grid system of geographical grid does not only cut remote sensing image Point, after the completion of cutting, the sub-image in each grid can also be stored, to be indexed, and then to remote sensing image It is managed.Therefore, the embodiment of the present invention is specifically illustrated the storing process of sub-image in grid after the completion of cutting.
The embodiment of the present invention is illustrated with the remote sensing image in Fig. 3 in above-described embodiment:
S1 puts the sub-image in 5 projection zones in each projection zone after carrying out projection zone's cutting to the remote sensing image In the file for entering corresponding projection zone.Fig. 4 is a kind of projection zone's file schematic diagram provided in an embodiment of the present invention, institute in Fig. 4 5 files shown are with the file of the number name of this 5 projection zones, be respectively as follows: 32648,32649,32650, 32651,32652.After carrying out projection zone's cutting to the remote sensing image, the sub-image in each projection zone is stored in corresponding projection In tape file folder.
S2 has the file of corresponding multiple hundred kilometers of grid under each projection zone, by the sub-image in projection zone into After hundred kilometers of grid cuttings of row, the sub-image in hundred kilometers of grid is stored under corresponding hundred kilometers of grid files.
S3 has the file of corresponding multiple ten kilometers of grid under each hundred kilometers of grid files, by hundred kilometers of grid After interior sub-image carries out ten kilometers of cuttings, the sub-image in ten kilometers of grid is stored in corresponding ten kilometers of grid files Under.
S4 scans the content in above-mentioned file, will be entirely the sub-image deletion of NODATA in grid file, in order to Organization and administration under grid system are carried out to remote sensing image, can also be renamed according to grid rule.
Fig. 5 is a kind of structural representation of the remote sensing image cutting system based on geographical grid provided in an embodiment of the present invention Figure, as shown in figure 5, the system includes:
First module 501, the remote sensing image cutting instruction for being sent according to load-balanced server, is deposited from remote sensing image It stores up and extracts target remote sensing image in server, and search the cutting shape of the target remote sensing image from metadata storage server State code.Second module 502, if being isloation state to be cut for cutting state corresponding to the cutting status code, based on geography Grid carries out cutting to the target remote sensing image.
Specifically, the first module 501 is instructed according to the remote sensing image cutting that load-balanced server is sent, from remote sensing image Target remote sensing image is extracted in storage server, and the cutting of the target remote sensing image is searched from metadata storage server Status code, the second module 502 determines whether to carry out grid cutting to target remote sensing image according to cutting status code, if cutting state Cutting state corresponding to code is isloation state to be cut, then carries out grid cutting.
System provided in an embodiment of the present invention, specifically executes above-mentioned each method embodiment process, please specifically be detailed in above-mentioned each The content of embodiment of the method, details are not described herein again.System provided in an embodiment of the present invention, by storing remote sensing image to remote sensing In image store server, the metadata of remote sensing image is stored into metadata storage server, by remote sensing image and first number According to being stored separately, compared with the prior art in remote sensing image and metadata are stored into a storage server, drop respectively The low pressure of remote sensing image storage server and metadata storage server.Also, by more in calculation server set A calculation server executes segmentation task, and the United Dispatching of segmentation task is carried out by load-balanced server, so that each The pressure of a calculation server is all relatively average, to improve the execution rate of segmentation task, that is, improve remote sensing image Cutting rate.
Fig. 6 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention, as shown in fig. 6, the electronics Equipment may include: processor (processor) 601, communication interface (Communications Interface) 602, storage Device (memory) 603 and communication bus 604, wherein processor 601, communication interface 602, memory 603 pass through communication bus 604 complete mutual communication.Processor 601, which can call, to be stored on memory 603 and can run on processor 601 Computer program, the method to execute the various embodiments described above offer, for example, the remote sensing sent according to load-balanced server Image cutting instruction, extracts target remote sensing image, and look into from metadata storage server from remote sensing image storage server Look for the cutting status code of the target remote sensing image;If cutting state corresponding to the cutting status code is isloation state to be cut, Then based on geographical grid, cutting is carried out to the target remote sensing image.
In addition, the logical order in above-mentioned memory 603 can be realized by way of SFU software functional unit and conduct Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally The technical solution of the inventive embodiments substantially part of the part that contributes to existing technology or the technical solution in other words It can be embodied in the form of software products, which is stored in a storage medium, including several fingers It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the present invention respectively The all or part of the steps of a embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk Etc. the various media that can store program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program, The computer program is implemented to carry out the transmission method of the various embodiments described above offer when being executed by processor, for example, according to The remote sensing image cutting instruction that load-balanced server is sent, extracts target remote sensing image from remote sensing image storage server, And the cutting status code of the target remote sensing image is searched from metadata storage server;If corresponding to the cutting status code Cutting state be isloation state to be cut, then based on geographical grid, cutting is carried out to the target remote sensing image.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member It is physically separated with being or may not be, component shown as a unit may or may not be physics list Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs In some or all of the modules realize the purpose of the embodiment of the present invention.Those of ordinary skill in the art are not paying wound In the case where the labour for the property made, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features; And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and Range.

Claims (10)

1. a kind of remote sensing image cutting method based on geographical grid characterized by comprising
The remote sensing image cutting instruction sent according to load-balanced server, it is distant to extract target from remote sensing image storage server Feel image, and searches the cutting status code of the target remote sensing image from metadata storage server;
It is distant to the target based on geographical grid if cutting state corresponding to the cutting status code is isloation state to be cut Feel image and carries out cutting.
2. the method according to claim 1, wherein the remote sensing image cutting sent according to load-balanced server Instruction extracts target remote sensing image from remote sensing image storage server, and searches the mesh from metadata storage server The cutting status code of remote sensing image is marked, before further include:
All remote sensing images are stored into remote sensing image server;
For each remote sensing image, the metadata of the remote sensing image is obtained, and the metadata of all remote sensing images is formed into member Tables of data is stored into metadata storage server.
3. the method according to claim 1, wherein if cutting state corresponding to the cutting status code be to The cutting status code of the target remote sensing image is then updated to the just cutting state corresponding to cutting state by cutting state Code.
4. the method according to claim 1, wherein if cutting state corresponding to the cutting status code be to Cutting state then carries out locking operation to the target remote sensing image.
5. the method according to claim 1, wherein if cutting state corresponding to the cutting status code be to Cutting state carries out cutting to the target remote sensing image, later then based on geographical grid further include:
After preset time period, determine whether cutting is successful to the target remote sensing image;
If cutting success, is updated to cutting corresponding to cutting success status for the cutting status code of the target remote sensing image Status code;
If cutting fails, the cutting status code of the target remote sensing image is updated to cutting corresponding to cutting status of fail Status code.
6. according to the method described in claim 5, it is characterized in that, recording the target remote sensing image if cutting fails Title and number, and the cutting status code of the target remote sensing image is updated to cutting state corresponding to isloation state to be cut Code.
7. the method according to claim 1, wherein being carried out based on geographical grid to the target remote sensing image Cutting further comprises:
It is determined locating for the target remote sensing image under WGS1984 points of band projection plane coordinates systems based on RDCRMG geography grid Projection zone, and determine that the number of locating projection zone is the first quantity;
It is the first quantity height by the target remote sensing image cutting according to projection zone locating for the target remote sensing image Image, wherein have a sub-image in each projection zone;
The first quantity thread is opened, so that each thread carries out cutting to the sub-image in a projection zone.
8. the method according to the description of claim 7 is characterized in that each thread cuts the sub-image in a projection zone Point, further comprise:
Each thread carries out hundred kilometers of cuttings to the sub-image in a projection zone, with the sub- shadow in the every 100 kilometers of grid of determination Picture;
After the equal cutting of sub-image in all projection zones is successful, for the sub-image in every 100 kilometers of grid, second is opened Quantity thread, so that each thread carries out ten kilometers of cuttings to the sub-image in hundred kilometers of grid, it is each with determination Sub-image in ten kilometers of grid.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor Machine program, which is characterized in that the processor is realized when executing described program such as any one of claim 1 to 8 the method Step.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer It is realized when program is executed by processor such as the step of any one of claim 1 to 8 the method.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110674134A (en) * 2019-09-16 2020-01-10 腾讯大地通途(北京)科技有限公司 Geographic information data storage method, query method and device
CN111896972A (en) * 2020-06-16 2020-11-06 中国工程物理研究院应用电子学研究所 Airborne laser radar synchronous control and automatic digital image exterior orientation element list creation method
CN113064572A (en) * 2021-05-10 2021-07-02 国家基础地理信息中心 Three-dimensional space-time simulation method and device for remote sensing image data

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012080995A1 (en) * 2010-12-13 2012-06-21 Ricky Gondosubroto Web-based data acquisition system and method
CN105303535A (en) * 2015-11-15 2016-02-03 中国人民解放军空军航空大学 Global subdivision pyramid model based on wavelet transformation
CN106503093A (en) * 2016-10-13 2017-03-15 华东师范大学 A kind of large-scale remote sensing image reconstructing method suitable for DCE
CN106991656A (en) * 2017-03-17 2017-07-28 杭州电子科技大学 A kind of distributed geometric correction system and method for mass remote sensing image
CN107291801A (en) * 2017-05-12 2017-10-24 北京四维新世纪信息技术有限公司 A kind of Mono temporal all standing remotely-sensed data search method compensated based on grid
KR101875881B1 (en) * 2018-03-05 2018-07-06 주식회사 지오스토리 Sedimentary facies classification system using remote sensing data

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012080995A1 (en) * 2010-12-13 2012-06-21 Ricky Gondosubroto Web-based data acquisition system and method
CN105303535A (en) * 2015-11-15 2016-02-03 中国人民解放军空军航空大学 Global subdivision pyramid model based on wavelet transformation
CN106503093A (en) * 2016-10-13 2017-03-15 华东师范大学 A kind of large-scale remote sensing image reconstructing method suitable for DCE
CN106991656A (en) * 2017-03-17 2017-07-28 杭州电子科技大学 A kind of distributed geometric correction system and method for mass remote sensing image
CN107291801A (en) * 2017-05-12 2017-10-24 北京四维新世纪信息技术有限公司 A kind of Mono temporal all standing remotely-sensed data search method compensated based on grid
KR101875881B1 (en) * 2018-03-05 2018-07-06 주식회사 지오스토리 Sedimentary facies classification system using remote sensing data

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
1192879452: "并行处理", 《百度百科》 *
BSCHOOLK: "高斯投影分带", 《百度百科》 *
李亚林等: "数据分配策略优化的全条带遥感影像流水线并行处理", 《计算机应用与软件》 *
茹痴__茹醉: "通用横轴墨卡托投影", 《百度百科》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110674134A (en) * 2019-09-16 2020-01-10 腾讯大地通途(北京)科技有限公司 Geographic information data storage method, query method and device
CN110674134B (en) * 2019-09-16 2024-02-13 腾讯大地通途(北京)科技有限公司 Geographic information data storage method, query method and device
CN111896972A (en) * 2020-06-16 2020-11-06 中国工程物理研究院应用电子学研究所 Airborne laser radar synchronous control and automatic digital image exterior orientation element list creation method
CN111896972B (en) * 2020-06-16 2022-10-18 中国工程物理研究院应用电子学研究所 Airborne laser radar synchronous control and automatic digital image exterior orientation element list creation method
CN113064572A (en) * 2021-05-10 2021-07-02 国家基础地理信息中心 Three-dimensional space-time simulation method and device for remote sensing image data
CN113064572B (en) * 2021-05-10 2023-11-14 国家基础地理信息中心 Three-dimensional space-time simulation method and device for remote sensing image data

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