CN112053364A - Data processing method and device, remote sensing data service platform and readable storage medium - Google Patents
Data processing method and device, remote sensing data service platform and readable storage medium Download PDFInfo
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Abstract
The invention relates to a data processing method, a data processing device, a remote sensing data service platform and a readable storage medium, wherein a tile file is cut and stored when the remote sensing data service platform acquires a remote sensing image, so that for the remote sensing data service platform, after the remote sensing data service platform acquires an access request, the tile cutting for a corresponding remote sensing map is not needed, and the efficiency of responding the access request can be improved.
Description
Technical Field
The application belongs to the field of data processing, and particularly relates to a data processing method and device, a remote sensing data service platform and a readable storage medium.
Background
With the widespread use of optical remote sensing images in various applications, more and more user groups have demands for accessing optical remote sensing image data.
Generally, the remote sensing data service platform is responsible for managing optical remote sensing images. When a traditional remote sensing data service platform manages remote sensing images, the remote sensing images provided by a remote sensing image provider need to be obtained and stored. When the remote sensing data service platform obtains an original remote sensing image viewing request of a user for a certain area, the original remote sensing image is subjected to temporary image cutting for the geographic space range of the area temporarily, so that the image of the area is obtained temporarily, and the obtained temporary image of the area is fed back to the user.
Due to the fact that the data size of the remote sensing image is large, temporary slicing is conducted on each access request, and the response efficiency of the remote sensing data service platform to the access request is possibly reduced.
Disclosure of Invention
In view of the above, an object of the present application is to provide a data processing method, an apparatus, a remote sensing data service platform and a readable storage medium, which can shorten the time for responding to a request when a user initiates a request for accessing a remote sensing map.
The embodiment of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a data processing method, which is applied to a remote sensing data service platform, where the remote sensing data service platform includes an application data server and a data server, and the method includes: the application data server acquires a remote sensing image; the application data server cuts the remote sensing image according to a TMS standard to obtain a tile file; and the application data server saves the tile file in the data server. Since the tile file is cut and stored when the remote sensing data service platform acquires the remote sensing image, for the remote sensing data service platform, after the remote sensing data service platform acquires the access request, the tile file does not need to be temporarily cut for the corresponding remote sensing map, so that the efficiency of responding to the access request can be improved.
With reference to the embodiment of the first aspect, in a possible implementation manner, the application data server includes a data obtaining unit, a data processing unit, and a data slicing unit, and the application data server slices the remote sensing image according to the TMS standard, including: the data acquisition unit acquires the remote sensing image; the data processing unit acquires image characteristics of the remote sensing image and judges whether the image characteristics of the remote sensing image meet corresponding preset standards or not, wherein the acquired image characteristics comprise at least one of waveband combination data, color depth and a projection coordinate system; if yes, the data slicing unit cuts the remote sensing image according to the TMS standard; and if not, the data processing unit carries out image processing on the remote sensing image, and the data slicing unit cuts the processed remote sensing image meeting the corresponding preset standard according to the TMS standard. By means of the method for judging the image characteristics of the remote sensing image, the situation that the quality of the tile file obtained by subsequently cutting the tile does not reach the standard due to the fact that the quality of the remote sensing image does not reach the standard can be prevented.
With reference to the embodiment of the first aspect, in a possible implementation manner, the processing, by the data processing unit, the remote sensing image includes: if the band combination data of the remote sensing image is a remote sensing image of non-RGB three-band combination data, carrying out channel separation on the remote sensing image according to the band of the remote sensing image to obtain images of a plurality of channels, and fusing R, G, B channel images in the images of all the channels to form an RGB three-band combination remote sensing image; if the color depth of the remote sensing image is a remote sensing image with a non-8 bit standard, converting the remote sensing image into a remote sensing image with an 8bit standard through color depth; and if the projection coordinate system of the remote sensing image is a remote sensing image of a non-WEB mercator projection coordinate system, performing coordinate conversion on the remote sensing image to obtain a remote sensing image of a WEB mercator projection coordinate system.
With reference to the embodiment of the first aspect, in a possible implementation manner, the application data server further includes a data uploading unit, the data server includes an online server and an offline server, and the application data server stores the tile file in the data server, including: the data slicing unit acquires metadata of the remote sensing image and generates a metadata management table according to the metadata, wherein the metadata comprises: shooting time information, geographic space range, name information and resolution information of the remote sensing image; the data uploading unit uploads the tile file and the metadata management table to the online server and the offline server synchronously; the basic data is metadata of the remote sensing image.
With reference to the embodiment of the first aspect, in a possible implementation manner, before the data slice unit cuts the remote sensing image according to the TMS standard, the method further includes: the data processing unit acquires the remote sensing image meeting the corresponding preset standard, acquires the geographic spatial range of the remote sensing image meeting the preset standard, and takes the geographic spatial range as a target geographic spatial range; the data processing unit loads the cut tiles containing the target geographic spatial range according to the target geographic spatial range, and displays the remote sensing images meeting the corresponding preset standards on the loaded tiles in a covering mode, wherein the geographic spatial range of the remote sensing images meeting the corresponding preset standards is within the geographic spatial range included by the loaded tiles; the data processing unit displays prompt information, and the prompt information is used for a user to confirm whether to cut or not; and after the slice information confirmed by the user is acquired, the data slicing unit cuts the remote sensing image according to the TMS standard. Namely, the remote sensing data service platform can provide a preview function for a user, so that the user is helped to adjust the cutting process of the remote sensing image.
With reference to the embodiment of the first aspect, in a possible implementation manner, before the data slice unit cuts the remote sensing image according to the TMS standard, the method further includes: and optimizing the remote sensing image meeting the corresponding preset standard, wherein the image optimization comprises the following steps: the method comprises the steps of saturation adjustment, contrast adjustment, brightness adjustment and definition adjustment, so that the influence of natural factors such as weather, cloud cover, light quantity and the season of obtaining the remote sensing image on the remote sensing image can be eliminated or weakened.
With reference to the embodiment of the first aspect, in a possible implementation manner, the remote sensing data service platform further includes an application layer and a service layer, and the method further includes: the application layer receives a remote sensing image viewing request of a user and sends the remote sensing image viewing request to the service layer; and the service layer acquires tiles corresponding to the information of the tile files carried by the remote sensing image viewing request from the corresponding position of the data server according to the information of the tile files carried by the remote sensing image viewing request, and returns the tiles corresponding to the information of the tile files carried by the remote sensing image viewing request to the request initiating end.
In a second aspect, an embodiment of the present application provides a remote sensing data service platform, including: the application data server and the data server are in communication connection; the application data server is used for acquiring remote sensing images; the application data server is used for cutting the remote sensing image according to the TMS standard to obtain a tile file; and the application data server is used for saving the tile file in the data server.
With reference to the second aspect, in one possible implementation manner, the application data server includes a data obtaining unit, a data processing unit, and a data slicing unit. The data acquisition unit is used for acquiring the remote sensing image; the data processing unit is used for acquiring the image characteristics of the remote sensing image and judging whether the image characteristics of the remote sensing image meet corresponding preset standards or not, wherein the acquired image characteristics comprise at least one of waveband combination data, color depth and a projection coordinate system; if yes, the data slicing unit is used for cutting the remote sensing image according to the TMS standard; and if not, the data processing unit is used for carrying out image processing on the remote sensing image, and the data slicing unit cuts the processed remote sensing image meeting the corresponding preset standard according to the TMS standard.
With reference to the second aspect embodiment, in a possible implementation manner, if the band combination data of the remote sensing image is a remote sensing image of non-RGB three-band combination data, the data processing unit is configured to perform channel separation on the remote sensing image according to a band thereof to obtain images of multiple channels, and fuse R, G, B channel images in the images of all the channels to form a RGB three-band combination remote sensing image; if the color depth of the remote sensing image is a remote sensing image with a non-8 bit standard, the data processing unit is used for converting the color depth of the remote sensing image into a remote sensing image with an 8bit standard; and if the projection coordinate system of the remote sensing image is a remote sensing image of a non-WEB mercator projection coordinate system, the data processing unit is used for converting the remote sensing image into the remote sensing image of the WEB mercator projection coordinate system through coordinates.
With reference to the embodiment of the second aspect, in a possible implementation manner, the application data server further includes a data uploading unit, the data server includes an online server and an offline server, and the data slicing unit is further configured to acquire metadata of the remote sensing image and generate a metadata management table according to the metadata, where the metadata includes: shooting time information, geographic space range, name information and resolution information of the remote sensing image; and the data uploading unit uploads the tile file and the metadata management table to the online server and the offline server synchronously.
With reference to the second aspect, in a possible implementation manner, the data processing unit is further configured to obtain a remote sensing image that meets the corresponding preset standard, and obtain a geographic spatial range of the remote sensing image of the preset standard, where the geographic spatial range is used as a target geographic spatial range; the data processing unit is further configured to load a cut tile including the target geospatial range according to the target geospatial range, and display the remote sensing image meeting the corresponding preset standard on the loaded tile in a covering manner, wherein the geospatial range of the remote sensing image meeting the corresponding preset standard is within the geospatial range included by the loaded tile; the data processing unit is also used for displaying prompt information, and the prompt information is used for a user to confirm whether to cut or not; and after the slice information confirmed by the user is acquired, the data slicing unit is further used for cutting the remote sensing image according to the TMS standard.
With reference to the second aspect, in a possible implementation manner, the data processing unit is further configured to perform image optimization on the remote sensing image that meets the corresponding preset criterion, where the image optimization includes: saturation adjustment, contrast adjustment, brightness adjustment, and sharpness adjustment.
With reference to the second aspect, in a possible implementation manner, the remote sensing data service platform further includes an application layer and a service layer, where the application layer is configured to receive a remote sensing image viewing request of a user, and send the remote sensing image viewing request to the service layer; and the service layer is used for acquiring tiles corresponding to the information of the tile files carried by the remote sensing image viewing request from the corresponding position of the data server according to the information of the tile files carried by the remote sensing image viewing request, and returning the tiles corresponding to the information of the tile files carried by the remote sensing image viewing request to the request initiating end.
In a third aspect, an embodiment of the present application further provides a remote sensing data service platform, including: a memory and a processor, the memory and the processor connected; the memory is used for storing programs; the processor calls a program stored in the memory to perform the method of the first aspect embodiment and/or any possible implementation manner of the first aspect embodiment.
In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium (hereinafter, referred to as a readable storage medium), on which a computer program is stored, where the computer program is executed by a computer to perform the method in the foregoing first aspect and/or any possible implementation manner of the first aspect.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts. The foregoing and other objects, features and advantages of the application will be apparent from the accompanying drawings. Like reference numerals refer to like parts throughout the drawings. The drawings are not intended to be to scale as practical, emphasis instead being placed upon illustrating the subject matter of the present application.
Fig. 1 shows one of the structural diagrams of a remote sensing data service platform provided by the embodiment of the application.
Fig. 2 shows a flowchart of a data processing method provided in an embodiment of the present application.
Fig. 3 shows a second schematic structural diagram of a remote sensing data service platform provided in the embodiment of the present application.
Fig. 4 shows a third schematic structural diagram of a remote sensing data service platform according to an embodiment of the present application.
Fig. 5 shows a fourth schematic structural diagram of a remote sensing data service platform provided in the embodiment of the present application.
Fig. 6 shows a block diagram of an electronic device according to an embodiment of the present application.
Icon: 10-remote sensing data service platform; 11-an application data server; 111-a data processing unit; 112-data slice unit; 113-a data upload unit; 114-a data acquisition unit; 12-a data server; 121-an online server; 122-offline server; 15-application layer; 16-a service layer; 100-an electronic device; 110-a processor; 120-a memory; 130-display screen.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, relational terms such as "first," "second," and the like may be used solely in the description herein to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Further, the term "and/or" in the present application is only one kind of association relationship describing the associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In addition, the defects (many temporary tiles are generated, so that the response efficiency is too slow) existing in the way of processing the data by the remote sensing data service platform in the prior art are the result obtained after the applicant has practiced and studied carefully, and therefore, the discovery process of the above defects and the solution proposed by the embodiment of the present application to the above defects in the following description should be the contribution of the applicant to the present application in the process of the present application.
In order to solve the above problem, embodiments of the present application provide a data processing method, an apparatus, a remote sensing data service platform, and a readable storage medium, so that when a user initiates a request for accessing a remote sensing map, a time for responding to the request can be shortened.
The technology can be realized by adopting corresponding software, hardware and a combination of software and hardware. The following describes embodiments of the present application in detail.
First, a remote sensing data service platform 10 for implementing the data processing method of the embodiment of the present application is described with reference to fig. 1.
The remote sensing data service platform 10 may respond to a remote sensing image viewing request of a user, and search for tiles corresponding to the remote sensing image and return the tiles to a client (which may be APP (application program) or WEB page) of the user initiating the viewing request, so that the user may compose a corresponding image based on each tile to browse the corresponding remote sensing image.
The remote sensing data service platform 10 may include: an application data server 11 and a data server 12.
It should be noted that the components and architecture of telemetry data service platform 10 shown in FIG. 1 are exemplary only, and not limiting, and that telemetry data service platform 10 may have other components and architectures as desired.
The data processing method provided by the present application will be described with reference to fig. 2.
Referring to fig. 2, an embodiment of the present application provides a data processing method applied to the remote sensing data service platform 10. The method comprises the following steps.
Step S110: and the application data server acquires the remote sensing image.
Step S120: and the application data server cuts the remote sensing image according to the TMS standard to obtain a tile file.
Step S130: and the application data server saves the tile file in the data server.
The TMS (tip Map Service) standard is an existing graph cutting method, and can cut a remote sensing image into square tiles with equal sizes according to a predetermined cutting level.
In the embodiment of the present application, each time the application data server 11 obtains a remote sensing image, the remote sensing image may be cut according to a pre-stored TMS standard, so as to obtain a tile file corresponding to the remote sensing image.
After obtaining the tilefile, application data server 11 may save the tilefile to data server 12.
Subsequently, when the remote sensing data service platform 10 obtains an access request of a user for a remote sensing image of a certain area based on a client, a tile file corresponding to the area can be determined from the data server 12 according to the access request and fed back to the client, so that the client operated by the user can combine the corresponding remote sensing image according to the tile file, the remote sensing map viewing requirement of the user is met, and all the remote sensing images do not need to be loaded.
In the above process, since the tile file is cut and stored when the remote sensing data service platform 10 acquires the remote sensing image, for the remote sensing data service platform 10, after the remote sensing data service platform 10 acquires the access request, the remote sensing data service platform does not need to temporarily cut the corresponding remote sensing map, so that the efficiency of responding to the access request can be improved.
Furthermore, in some embodiments, referring to fig. 3, the application data server 11 may include a data processing unit 111, a data slicing unit 112, and a data acquisition unit 114.
When the telemetric image is cut, it is performed by the data slicing unit 112.
In this embodiment, before the data slicing unit 112 performs the cutting, in order to prevent the quality of the tile file obtained by subsequently performing the tile cutting from not meeting the standard due to the quality of the remote sensing image itself not meeting the standard, after the data obtaining unit 114 obtains the remote sensing image, the data processing unit 111 may perform image feature extraction on the remote sensing image.
Wherein the image features include, but are not limited to, at least one of band combination data, color depth, projection coordinate system.
Multiple image channels exist for any color image. Generally, the remote sensing image includes three image channels of R (red), G (green), and B (blue) or the remote sensing image includes four image channels of R (red), G (green), B (blue), and N (near red) according to the kind of a satellite that takes the remote sensing image.
The color components in the images in the R channel, the G channel, and the B channel of the remote sensing image may be fused to form a remote sensing image of RGB three-band combination, or the color components in the images in the R channel, the G channel, the B channel, and the N channel of the remote sensing image may be fused to form a remote sensing image of RGBN four-band combination.
According to the source (such as which satellite is used for shooting) and type (the number of image channels included) of the remote sensing image, a corresponding configuration file can be set in advance for the remote sensing image, and the configuration file is a standard of a band combination and is used for representing that the remote sensing image needs to be fused into a remote sensing image with several band combinations, for example, in some embodiments, the adopted standard of the band combination is a remote sensing image with an RGB three-band combination.
The color depth of the remote sensing image characterizes how many colors the remote sensing image supports at most. And is generally described in terms of "bits," or "bits". If a remote sensing image supports 256 colors (e.g., GIF format), then 256 different values are required to represent the different colors, i.e., from 0 to 255. The binary representation is from 00000000 to 11111111, requiring a total of 8 bits of binary data. The color depth is 8 bits. Accordingly, a color depth standard corresponding to the color depth may be preset, for example, in some embodiments, the color depth standard used is 8 bits.
The remote sensing image has a corresponding projection coordinate system, and correspondingly, a projection coordinate system standard corresponding to the projection coordinate system can be preset, for example, in some embodiments, the adopted projection coordinate system standard is a WEB mercator projection coordinate system, for example, the geographic coordinate system WSG84 is numbered ESPG: 4326.
Of course, the above listed image features are only exemplary, and it can be understood that the data slicing unit 112 may be configured to obtain other image features for the remote sensing image according to actual requirements, and accordingly, preset criteria corresponding to other image features also need to be preset.
After obtaining the image features, the data processing unit 111 may determine whether the image features of the remote sensing image satisfy corresponding preset criteria.
If the TMS standard is judged to be true, the data slicing unit 112 cuts the remote sensing image according to the TMS standard; if not, the data processing unit 111 performs image processing on the remote sensing image, and then the data slicing unit 112 cuts the processed remote sensing image meeting the corresponding preset standard according to the TMS standard.
Optionally, when the data processing unit 111 processes the remote sensing image, the following method may be adopted:
when the standard of the wave band combination is the remote sensing image of the three-wave band combination, if the wave band combination data of the remote sensing image is the remote sensing image of the non-RGB three-wave band combination data, the remote sensing image is subjected to channel separation according to the wave band, images of a plurality of channels are obtained, and R, G, B channel images in the images of all the channels are fused to form the remote sensing image of the RGB three-wave band combination.
The fusion process is a process of writing and storing the pixel values of the same pixel position of the R, G, B three bands into the same pixel according to a certain rule.
And when the color depth standard is 8bit standard, if the color depth of the remote sensing image is a remote sensing image with non-8 bit standard, converting the remote sensing image into the remote sensing image with 8bit standard by performing color depth.
The color depth conversion is a process of converting 8 bits with a single-waveband color depth which is not standard into 8 bits, wherein 8 bits means that the gray scale value range of the color is 0-2 ^8-1, and 16 bits means that the gray scale value range of the color is 0-2 ^ 16-1. The conversion is to use the gray value of the high bit depth to determine the value corresponding to the gray value of the low bit depth at the position of the whole body.
When the standard of the projection coordinate system is a geographic coordinate system WSG84 serial number ESPG:4326, if the projection coordinate system of the remote sensing image is a remote sensing image of a non-WEB mercator projection coordinate system, the remote sensing image is subjected to coordinate conversion to be a remote sensing image of a WEB mercator projection coordinate system.
Because the projection mode, the deformation parameter, the central meridian and the like adopted for projecting the earth to the plane are different, the projection coordinate system of the remote sensing image may have deviation compared with the projection coordinate system standard. The transformation process of the projection coordinate system transformation is to transform the original projection coordinate system of the remote sensing image to the projection coordinate system standard, and perform operations such as offset and the like on all pixels.
In addition, in some embodiments, before the data slicing unit 112 slices the remote sensing image according to the TMS standard, the data processing unit 111 may further obtain the remote sensing image meeting the corresponding preset standard and a geographic spatial range represented by the remote sensing image, and the geographic spatial range represented by the remote sensing image meets the preset standard and is used as the target geographic spatial range.
Subsequently, the data processing unit 111 loads the tiles that have been cut and include the target geospatial range according to the target geospatial range, and displays the remote sensing image meeting the corresponding preset standard on the loaded tiles in an overlaying manner. And after the coverage is finished, covering the remote sensing image meeting the corresponding preset standard on an area corresponding to the target geographic space range included by the loaded tile so as to display the remote sensing image meeting the corresponding preset standard for a user to preview, and judging whether pigment deviation, coordinate offset and the like exist between the remote sensing image meeting the corresponding preset standard and the cut tile by the user based on the displayed effect.
After the preview effect is displayed to the user, the data processing unit 111 may further display a prompt message, where the prompt message is used for the user to confirm whether to cut the remote sensing image. In general, the reminder information may provide two options. When the user is selecting one of the options, the user is characterized to confirm the slice, and when the user is selecting the other option, the user is characterized to confirm that the slice is not cut temporarily.
After the slice information confirmed by the user is acquired, the data slicing unit 112 may cut the remote sensing image according to the TMS standard.
Of course, in some embodiments, the data processing unit 111 may load the cut tile file again through the loading function described above, and display the loading effect to the user for viewing, so that the user determines whether the loading effect of the tile file meets the expected standard of the user.
For the tile file which does not meet the expected standard of the user, the user can trigger the modification operation again, so that the remote sensing image can be cut again by modifying the cutting parameters, and the cut tile file meets the expected standard of the user.
In addition, in some embodiments, after obtaining the information that the user confirms that the remote sensing image is not cut temporarily, it indicates that the user confirms that the remote sensing image has a problem, and at this time, the data processing unit 111 may perform the tile cutting operation after performing the relevant operation on the remote sensing image.
The related operations herein include, but are not limited to, adjustment of color and coordinates.
In addition, the acquired remote sensing image has corresponding influence due to natural factors such as weather, cloud amount, light quantity, acquisition season of the remote sensing image and the like. In order to eliminate or reduce the influence of these natural factors, in some embodiments, before the data slicing unit 112 slices the remote sensing image according to the TMS standard, the data processing unit 111 may perform image optimization on the remote sensing image that meets the corresponding preset standard, so that the areas corresponding to different surface features are vivid and prominent in color, and the remote sensing image loaded when a subsequently-sliced tile is returned to the client can better exhibit the viewing effect.
Wherein, the image optimization includes but is not limited to: at least one of saturation adjustment, contrast adjustment, brightness adjustment, and sharpness adjustment.
In addition, in some embodiments, please refer to fig. 4, the application data server 11 may further include a data uploading unit 113, and the data server 12 includes an online server 121 and an offline server 122.
When the application data server 11 stores the tile file in the data server 12, the data slicing unit 112 is configured to acquire metadata of the remote sensing image and generate a metadata management table according to the metadata. The data uploading unit 113 uploads the tile files and the metadata management table to the online server 121 and the offline server 122 synchronously, so as to perform disaster recovery backup on the tile files and the metadata management table.
The metadata management table is used for recording shooting time information, a geographic space range, name information, resolution information and the like of the remote sensing image. In addition, the method also comprises cutting level information corresponding to the tile file, name information of the tile file, shooting time information of a remote sensing image corresponding to the tile file, storage address information of the tile file and the like.
Metadata includes, first without limitation: shooting time information, geographic spatial range information, name information, resolution information and the like of the remote sensing image.
The data slicing unit 112 is further configured to determine name information of each cut tile file according to the geospatial range included in the remote sensing image and the TMS standard. Specifically, the name information of the tile file is determined after being cut by the remote sensing image, if the geographic space range included by the remote sensing image is from-25 ° to 25 ° in longitude and from-25 ° to 25 ° in latitude, and the specification of the 10-level tile in the TMS standard is 256 × 256, then after the remote sensing image is cut, the column coordinate range in the coordinates of the obtained tile file is from Y25 to Y75, the row coordinate range in the coordinates of the obtained tile file is from X25 to X75, the hierarchy coordinate in the coordinates of the obtained tile file is Z10, then the name information of the tile file in the part is from Y25 to Y75, and the name information also includes the row coordinate information and the hierarchy coordinate information of the tile file. The data slicing unit 112 is further configured to determine storage address information of each tile after cutting according to shooting time information included in the remote sensing image and name information of the tile file. For example, the name information of a part of tiles is Y25 to Y75, the name information further includes row coordinate information of the tile of X25 to X75, the level coordinate information is Z10, the shooting time of the remote sensing image is 2019, 10 months and 20 days, the data server 12 includes a first storage address and a second storage address in the online server 121 and the offline server 122, wherein the first storage address is used for storing tile files of the remote sensing images at different shooting times, and the second storage address is used for storing tile files of the remote sensing image at the latest shooting time in the same geographic space range. Therefore, according to the name information of the tile file and the shooting time corresponding to the remote sensing image, the storage address of the tile file of the part is in the corresponding file of the first storage address and the second storage address in the online server 121 and the offline server 122. The data upload unit 113 thus stores the corresponding tiles at the corresponding storage addresses in the online server 121 and the offline server 122 according to the storage address information of the tile file at the data server 12.
It is worth noting, moreover, that when the application data server 11 saves the tile file in the data server 12, since the second storage addresses in the online server 121 and the offline server 122 are used to store the tile file of the remote sensing image of the latest shooting time in the same geospatial range, therefore, the tile file with the same geographic space range as the tile file to be uploaded in the second storage address is obtained as the target tile file, and the shooting time of the target tile file is obtained, if the shooting time of the target tile file is earlier than the shooting time of the tile file to be uploaded, and replacing the target tile file in the second storage address by using the tile file to be uploaded, otherwise, not uploading the tile to be uploaded to the second storage address, wherein the shooting time of the tile is consistent with that of the remote sensing image corresponding to the tile. Therefore, by the method and the device, when the tile file of the remote sensing image of a certain region of the global area is required to be updated in the second storage address, only the tile file of the region is required to be updated, and the tile file of the remote sensing image at the latest shooting time can be used for replacing the tile file of the previous remote sensing image.
In the prior art, after a remote sensing image stored before is replaced by a remote sensing image of the latest shooting time of a certain area, the replaced remote sensing image and other non-replaced remote sensing images need to be spliced into a global remote sensing image again. However, during replacement, if the remote sensing image to be uploaded is not consistent with the geographic spatial range of the remote sensing image to be replaced, the remote sensing image to be uploaded may be overlapped with the surrounding remote sensing images or may be in a gap after being uploaded and replaced. In addition, the remote sensing image has large data volume, so that the opening of the remote sensing image takes longer time and takes more time to complete the splicing. Therefore, in the prior art, the time cost spent in the process of splicing the remote sensing images is higher, and when the remote sensing images are loaded at a later stage, the remote sensing images are temporarily cut according to the request of a user, so that the efficiency of responding the user is lower. According to the scheme, the remote sensing image can be updated quickly and conveniently, and the efficiency of responding to the user can be improved.
Furthermore, it is worth pointing out that, when the application data server 11 stores the tile file in the data server 12, since the first storage address in the online server 121 and the offline server 122 is used for storing the tile file of the remote sensing image at different shooting times, the geographic space range included in the tile file at the first storage address and having the same shooting time as the tile file to be uploaded is obtained as the second target geographic space range, the intersection geographic space range of the geographic space range included in the tile file to be uploaded and the second target geographic space range is calculated, the geographic space range obtained by subtracting the intersection geographic space range from the geographic space range included in the tile file to be uploaded is used as the geographic space range to be uploaded, and the tile file corresponding to the geographic space range to be uploaded in the tile file to be uploaded is uploaded to the tile file at the same shooting time as the tile file to be uploaded in the first storage address The memory address of the piece.
Furthermore, it should be noted that after the tile file is stored in the data server 12 by the application data server 11, the remote sensing image may also be stored in a specified path within the data server 12.
In some embodiments, referring to FIG. 5, telemetry data service platform 10 further includes an application layer 15 and a service layer 16.
In such an embodiment, the application layer 15 may also provide a map viewing interface to the user. It is worth pointing out that, when the client operated by the user is an APP (application program), the map viewing interface provided by the application layer 15 to the user is an interface displayed by the APP, and when the client operated by the user is a WEB page, the map viewing interface provided by the application layer 15 to the user is an interface displayed by the WEB page.
The user can perform a remote sensing image viewing operation on the client, so that the client generates a remote sensing image viewing request, and the application layer 15 can receive the remote sensing image viewing request and send the remote sensing image viewing request to the service layer 16.
Generally, the remote sensing image viewing request carries information of a tile file corresponding to a remote sensing image to be viewed by a user, such as name information of the tile file, storage address information of the tile file, and the like.
Subsequently, the service layer 16 obtains the tile corresponding to the information of the tile file carried by the remote sensing image viewing request from the corresponding position of the data server 12 according to the information of the tile file carried by the remote sensing image viewing request, and returns the obtained tile to the request initiating terminal.
As mentioned above, the same tile file is maintained within both online server 121 and offline server 122. Optionally, in order to ensure the speed of responding to the remote sensing image viewing request of the user, the service layer 16 preferentially goes to the online server 121 to obtain the corresponding tile; if the service layer 16 determines that the corresponding tile does not exist in the online server 121, which indicates that the tile file stored in the online server 121 may be damaged or does not exist, the service layer 16 may go to the offline server 122 to obtain the corresponding tile.
It should be noted that, when the client operated by the user is an APP, a tile file obtaining program may be built in the APP, so that the above process of obtaining the corresponding tile from the service layer 16 to the data server 12 is completed by the APP.
According to the data processing method provided by the embodiment of the application, the tile file is cut and stored when the remote sensing data service platform 10 acquires the remote sensing image, so that for the remote sensing data service platform 10, after the remote sensing data service platform 10 acquires the access request, the tile cutting for the corresponding remote sensing map is not needed temporarily, and therefore the efficiency of responding to the access request can be improved.
In addition, an embodiment of the present application further provides a remote sensing data service platform 10, which may include: an application data server 11 and a data server 12 which are connected in a communication manner.
The application data server 11 is used for acquiring remote sensing images;
the application data server 11 is used for cutting the remote sensing image according to the TMS standard to obtain a tile file;
the application data server 11 is configured to store the tile file in the data server 12.
In one possible embodiment, the application data server 11 includes a data acquisition unit 114, a data processing unit 111, and a data slicing unit 112.
The data acquisition unit 114 is configured to acquire the remote sensing image;
the data processing unit 111 is configured to acquire image characteristics of the remote sensing image, and determine whether the image characteristics of the remote sensing image meet corresponding preset standards, where the acquired image characteristics include at least one of waveband combination data, color depth, and a projection coordinate system;
if yes, the data slicing unit 112 is configured to cut the remote sensing image according to a TMS standard;
if not, the data processing unit 111 is configured to perform image processing on the remote sensing image, and the data slicing unit cuts the processed remote sensing image meeting the corresponding preset standard according to the TMS standard.
In a possible implementation manner, if the band combination data of the remote sensing image is a remote sensing image of non-RGB three-band combination data, the data processing unit 111 is configured to perform channel separation on the remote sensing image according to its bands to obtain images of multiple channels, and fuse R, G, B channel images in the images of all the channels to form a RGB three-band combination remote sensing image; if the color depth of the remote sensing image is a remote sensing image with a non-8 bit standard, the data processing unit 111 is used for converting the remote sensing image into a remote sensing image with an 8bit standard by performing color depth; if the projection coordinate system of the remote sensing image is a remote sensing image of a non-WEB mercator projection coordinate system, the data processing unit 111 is configured to perform coordinate conversion on the remote sensing image into a remote sensing image of a WEB mercator projection coordinate system.
In a possible implementation manner, the application data server 11 further includes a data uploading unit 113, the data server 12 includes an online server 121 and an offline server 122, and the data slicing unit 112 is further configured to obtain metadata of the remote sensing image, and generate a metadata management table according to the metadata, where the metadata includes: shooting time information, geographic space range, name information and resolution information of the remote sensing image; and the data uploading unit uploads the tile file and the metadata management table to the online server and the offline server synchronously.
In a possible implementation manner, the data processing unit 111 is further configured to obtain a remote sensing image meeting the corresponding preset standard, and obtain a geographic spatial range of the remote sensing image meeting the preset standard, and use the geographic spatial range as a target geographic spatial range; the data processing unit 111 is further configured to load a cut tile including the target geospatial range according to the target geospatial range, and display a remote sensing image meeting the corresponding preset standard on the loaded tile in an overlaid manner, where the geospatial range of the remote sensing image meeting the corresponding preset standard is within the geospatial range included in the loaded tile; the data processing unit 111 is further configured to display a prompt message, where the prompt message is used for a user to confirm whether to perform cutting; after the slice information confirmed by the user is obtained, the data slicing unit 112 is further configured to cut the remote sensing image according to the TMS standard.
In a possible implementation, the data processing unit 111 is further configured to perform image optimization on the remote sensing image that meets the corresponding preset criterion, where the image optimization includes: saturation adjustment, contrast adjustment, brightness adjustment, and sharpness adjustment.
In a possible implementation manner, the application data server 11 further includes an application layer 15 and a service layer 16, where the application layer 15 is configured to receive a remote sensing image viewing request of a user and send the remote sensing image viewing request to the service layer; and the service layer 16 is configured to obtain tiles corresponding to the information of the tile files carried by the remote sensing image viewing request from the corresponding position of the data server according to the information of the tile files carried by the remote sensing image viewing request, and return the tiles corresponding to the information of the tile files carried by the remote sensing image viewing request to the request initiating end.
The remote sensing data service platform 10 provided in the embodiment of the present application has the same implementation principle and technical effect as those of the foregoing method embodiment, and for brief description, no mention is made in the device embodiment, and reference may be made to the corresponding contents in the foregoing method embodiment.
In addition, an embodiment of the present application further provides a readable storage medium, where a computer program is stored on the readable storage medium, and when the computer program is executed by a computer, the computer program executes the steps included in the data processing method.
In addition, referring to fig. 6, an electronic device 100 is further provided in an embodiment of the present invention. The remote sensing data service platform is deployed on the electronic device 100.
Among them, the electronic device 100 may include: processor 110, memory 120, display 130.
It should be noted that the components and structure of electronic device 100 shown in FIG. 6 are exemplary only, and not limiting, and electronic device 100 may have other components and structures as desired.
Processor 110, memory 120, display screen 130, and other components that may be present on telemetry data service platform 10 are electrically connected to each other, directly or indirectly, to enable the transfer or interaction of data. For example, the processor 110, the memory 120, the display 130, and other components that may be present may be electrically connected to each other via one or more communication buses or signal lines.
The memory 120 is used for storing programs, for example, programs corresponding to the data processing methods described above.
The processor 110 is used to execute computer programs stored in the memory 120. When the processor 110 receives the execution instruction, it may execute the computer program, for example, to perform: the application data server acquires a remote sensing image; the application data server cuts the remote sensing image according to a TMS standard to obtain a tile file; and the application data server saves the tile file in the data server.
Of course, the method disclosed in any of the embodiments of the present application can be applied to the processor 110, or implemented by the processor 110.
In summary, according to the data processing method and apparatus, the remote sensing data service platform, and the readable storage medium provided in the embodiments of the present invention, since the tile file is cut and stored when the remote sensing data service platform 10 acquires a remote sensing image, for the remote sensing data service platform 10, after acquiring an access request, the remote sensing data service platform 10 can determine a tile to be responded according to the request, and obtain the tile to be responded according to the tile information at a corresponding address, thereby improving the efficiency of responding to a user. Compared with the prior art, the remote sensing image is a whole image, the remote sensing image needs to be temporarily cut according to the geographic space range to be responded, which is determined by the request of the user, and the temporary image generated after cutting is used for responding the user, so that the response speed efficiency is greatly improved.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a notebook computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application.
Claims (10)
1. A data processing method is characterized by being applied to a remote sensing data service platform, wherein the remote sensing data service platform comprises an application data server and a data server, and the method comprises the following steps:
the application data server acquires a remote sensing image;
the application data server cuts the remote sensing image according to a TMS standard to obtain a tile file;
and the application data server saves the tile file in the data server.
2. The method of claim 1, wherein the application data server comprises a data acquisition unit, a data processing unit and a data slicing unit, and the application data server slices the remote sensing image according to the TMS standard, and comprises:
the data acquisition unit acquires the remote sensing image;
the data processing unit acquires image characteristics of the remote sensing image and judges whether the image characteristics of the remote sensing image meet corresponding preset standards or not, wherein the acquired image characteristics comprise at least one of waveband combination data, color depth and a projection coordinate system;
if yes, the data slicing unit cuts the remote sensing image according to the TMS standard;
and if not, the data processing unit carries out image processing on the remote sensing image, and the data slicing unit cuts the processed remote sensing image meeting the corresponding preset standard according to the TMS standard.
3. The method of claim 2, wherein the data processing unit processes the remotely sensed image, comprising:
if the band combination data of the remote sensing image is a remote sensing image of non-RGB three-band combination data, carrying out channel separation on the remote sensing image according to the band of the remote sensing image to obtain images of a plurality of channels, and fusing R, G, B channel images in the images of all the channels to form an RGB three-band combination remote sensing image;
if the color depth of the remote sensing image is a remote sensing image with a non-8 bit standard, converting the remote sensing image into a remote sensing image with an 8bit standard through color depth;
and if the projection coordinate system of the remote sensing image is a remote sensing image of a non-WEB mercator projection coordinate system, performing coordinate conversion on the remote sensing image to obtain a remote sensing image of a WEB mercator projection coordinate system.
4. The method of claim 3, wherein the application data server further comprises a data upload unit, wherein the data server comprises an online server and an offline server, and wherein the application data server saves the tilefile to the data server, comprising:
the data slicing unit acquires metadata of the remote sensing image and generates a metadata management table according to the metadata, wherein the metadata comprises: shooting time information, geographic space range, name information and resolution information of the remote sensing image;
and the data uploading unit uploads the tile file and the metadata management table to the online server and the offline server synchronously.
5. The method of claim 2, wherein before the data slice unit cuts the remotely sensed image according to the TMS standard, the method further comprises:
the data processing unit acquires the remote sensing image meeting the corresponding preset standard, acquires the geographic spatial range of the remote sensing image meeting the preset standard, and takes the geographic spatial range as a target geographic spatial range;
the data processing unit loads the cut tiles containing the target geographic spatial range according to the target geographic spatial range, and displays the remote sensing images meeting the corresponding preset standards on the loaded tiles in a covering mode, wherein the geographic spatial range of the remote sensing images meeting the corresponding preset standards is within the geographic spatial range included by the loaded tiles;
the data processing unit displays prompt information, and the prompt information is used for a user to confirm whether to cut or not;
and after the slice information confirmed by the user is acquired, the data slicing unit cuts the remote sensing image according to the TMS standard.
6. The method of claim 2, wherein before the data slice unit cuts the remotely sensed image according to the TMS standard, the method further comprises:
the data processing unit carries out image optimization on the remote sensing image meeting the corresponding preset standard, and the image optimization comprises the following steps: saturation adjustment, contrast adjustment, brightness adjustment, and sharpness adjustment.
7. The method of claim 1, wherein the remote sensing data service platform further comprises an application layer and a service layer, the method further comprising:
the application layer receives a remote sensing image viewing request of a user and sends the remote sensing image viewing request to the service layer;
and the service layer acquires tiles corresponding to the information of the tile files carried by the remote sensing image viewing request from the corresponding position of the data server according to the information of the tile files carried by the remote sensing image viewing request, and returns the tiles corresponding to the information of the tile files carried by the remote sensing image viewing request to the request initiating end.
8. A remote sensing data service platform, comprising: the application data server and the data server are in communication connection;
the application data server is used for acquiring remote sensing images;
the application data server is used for cutting the remote sensing image according to the TMS standard to obtain a tile file;
and the application data server is used for saving the tile file in the data server.
9. An electronic device comprising a memory and a processor, the memory and the processor being connected; the memory is used for storing programs; the processor calls a program stored in the memory to perform the method of any of claims 1-7.
10. A readable storage medium, having stored thereon a computer program which, when executed by a computer, performs the method of any one of claims 1-7.
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