CN116452461A - Remote sensing data processing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a remote sensing data processing method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining remote sensing data collected by different remote sensors, carrying out geometric processing and radiation processing on the remote sensing data based on the types and the setting parameters of the remote sensors to obtain first remote sensing data corresponding to a target area, carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data, carrying out geometric and radiation processing on the collected data, eliminating impurity data caused by different factors, recovering data information covered by different cloud areas, improving the quality of the remote sensing data, solving the phenomenon that the quality of products fluctuates caused by environmental and operation differences and the like, obtaining complete earth surface observation remote sensing data, enabling the products to have standard product specifications, and facilitating terminal scientific research and business application.
Description
Technical Field
The invention relates to the technical field of remote sensing data products, in particular to a remote sensing data processing method, a remote sensing data processing device, electronic equipment and a storage medium.
Background
The satellite acquires earth surface observation remote sensing data through the remote sensor, but is difficult to acquire complete earth surface observation data due to the influence of factors such as cloud cover or operation such as acquisition parameter setting and the like, the quality of satellite influence data can be fluctuated, and rich information contained in an image ground object can not be completely acquired, so that a series of application and analysis aiming at influence are not facilitated.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defects of incomplete acquisition and lower quality of the existing earth surface observation data, thereby providing a remote sensing data processing method, a remote sensing data processing device, electronic equipment and a storage medium.
According to a first aspect, the embodiment of the invention discloses a remote sensing data processing method, which is used for acquiring remote sensing data acquired by different remote sensors; performing geometric processing and radiation processing on the remote sensing data based on the type and the setting parameters of the remote sensor to obtain first remote sensing data corresponding to a target area; and carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data.
Optionally, the method further comprises: and carrying out corresponding data processing on the standard remote sensing data based on the application requirements interested by the user to obtain target remote sensing data.
Optionally, when the application requirement of interest to the user is an aerosol optical thickness, the performing corresponding data processing on the standard remote sensing data based on the application requirement of interest to the user to obtain target remote sensing data includes: determining dark pixels based on the normalized difference vegetation index; comparing a preset initial value of the optical thickness of the aerosol with a known searching lookup table of red and blue wave bands to determine the corresponding land surface reflectivities of the red wave band and the blue wave band respectively; calculating a first ratio of the land surface reflectivity of the red wave band to the land surface reflectivity of the blue wave band; and adjusting the preset initial value of the optical thickness of the aerosol based on the relation between the first ratio and the preset ratio to obtain the target value of the optical thickness of the aerosol.
Optionally, the adjusting the preset initial value of the optical thickness of the aerosol based on the relation between the first ratio and the preset ratio to obtain the target value of the optical thickness of the aerosol includes: calculating the difference value between the first ratio and a preset ratio, and comparing the difference value with a preset threshold value; if the difference value is larger than the preset threshold value, increasing the initial value of the optical thickness of the aerosol by a preset step length to obtain a first value of the optical thickness of the aerosol; comparing the first value of the aerosol optical thickness with a known searching lookup table of red and blue wave bands, and repeatedly determining the corresponding land surface reflectivities of the red wave band and the blue wave band respectively until the initial value of the aerosol optical thickness is increased by a preset step length until the difference value is smaller than or equal to a preset threshold value, thereby obtaining the target value of the aerosol optical thickness.
Optionally, the method further comprises: and carrying out retrieval processing on the target remote sensing data to obtain a thematic information graph, wherein the thematic information graph comprises information corresponding to application requirements interested by a user.
Optionally, the performing geometric processing on the remote sensing data includes: cloud removal processing is carried out on the remote sensing data acquired by the different remote sensors; correcting remote sensing data subjected to cloud removal; carrying out dodging and color homogenizing treatment and mosaic treatment on the corrected remote sensing data; and cutting the remote sensing data subjected to the mosaic processing to determine a target area.
Optionally, performing radiation processing on the remote sensing data, including: and carrying out radiation correction and atmosphere correction processing on the remote sensing data acquired by the different remote sensors.
According to a second aspect, an embodiment of the present invention further discloses a remote sensing data processing device, including: the data acquisition module is used for acquiring remote sensing data acquired by different remote sensors; the first data processing module is used for performing geometric processing and radiation processing on the remote sensing data based on the type and the setting parameters of the remote sensor to obtain first remote sensing data corresponding to a target area; and the second data processing module is used for carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data.
According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the telemetry data processing method of the first aspect or any alternative embodiment of the first aspect.
According to a fourth aspect, the present invention further discloses a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method for processing telemetry data according to the first aspect or any of the alternative embodiments of the first aspect.
The technical scheme of the invention has the following advantages:
according to the remote sensing data processing method provided by the invention, the remote sensing data acquired by different remote sensors are acquired, the geometric processing and the radiation processing are carried out on the remote sensing data based on the types and the setting parameters of the remote sensors, the first remote sensing data corresponding to the target area is obtained, the normalization processing is carried out on the first remote sensing data based on time, space, angle, spectrum, polarization and phase, the standard remote sensing data is obtained, the geometric and radiation processing is carried out on the acquired data, the impurity data caused by different factors can be eliminated, the data information covered by different cloud areas can be recovered, the quality of the remote sensing data can be improved, the phenomenon that the quality of products fluctuates caused by environmental and operation differences can be solved, the complete surface observation remote sensing data can be acquired, and the products have standard product specifications, so that terminal scientific research and service application are facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a specific example of a remote sensing data processing method according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a specific example of a remote sensing data processing apparatus in an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, or can be communicated inside the two components, or can be connected wirelessly or in a wired way. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The embodiment of the invention discloses a remote sensing data processing method, as shown in figure 1, which comprises the following steps:
step 101, acquiring remote sensing data acquired by different remote sensors.
For example, in the embodiment of the present application, the satellite acquires different corresponding remote sensing Data through different remote sensors, and may perform parameter configuration on the satellite remote sensor according to actual situations to acquire the remote sensing Data, for example, the satellite platform remote sensor may acquire multiple single DS day Data of a continuous time phase or an adjacent DS grid, which may be referred to as level 1A satellite remote sensing Data, based on a minimum time unit (for example, a day) of a single DS (Data Structure), which is just an example.
And 102, performing geometric processing and radiation processing on the remote sensing data based on the type and the setting parameters of the remote sensor to obtain first remote sensing data corresponding to the target area.
The remote sensing data collected by the remote sensors corresponding to different satellites in the embodiment of the application are different, such as SAR (Synthetic Aperture Radar ) satellites and optical satellites, the data sources can be classified before the remote sensing data are processed, corresponding processing modes are matched, parameters configured during the remote sensing data collection are different, such as shooting time, influence positions, observation angles and the like, and corresponding processing flows are also different, so that geometric and radiation processing is performed on the remote sensing data according to the remote sensor types and the set parameters, the geometric processing can be used for cutting the data, the data processing is performed in a region of interest of a user, the radiation processing can be used for performing radiometric calibration on the remote sensing data, the brightness gray level of an image is converted into absolute radiation brightness, interference can be eliminated, and the data with real reflectivity can be obtained, and the data with real reflectivity are only used as an example. The embodiments of the present application may refer to classification, parameters, geometry and radiation as "several control sample number", and may be processed according to "several control sample number" during subsequent remote sensing data processing.
And 103, carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data.
In an exemplary embodiment, as shown in table 1, the "6" sets include time, space, angle, spectrum, polarization or polarization and phase, and in order to obtain space expansion, normalization processing needs to be performed on all collected remote sensing data to make all the collected remote sensing data consistent, and normalization processing may be performed on all the remote sensing data according to unified "6" standards to obtain standard remote sensing data, where the "6" standards may be used to construct a standard sampling model, select one of the "6" standards corresponding to the multiple remote sensors, or may be set by itself according to the actual situation, and as a specific embodiment of the present invention, the standard remote sensing data may be a DS synthesized product based on m×n×p structure, where m×n×p refers to a three-dimensional structure provided by different constellations, satellites, and DS sets provided by the remote sensors at different times and places, and covers M rows and N columns for a certain task, and separates DS according to time and P layers. Standard remote sensing data is processed into remote sensing data products with unified specification attributes according to a specified production flow, and the product attributes such as imaging spatial resolution, time sequence, imaging platform, product category and the like are arranged according to the needs in 4-dimensional space, so that a product sequence meeting corresponding needs is generated.
TABLE 1
According to the remote sensing data processing method provided by the invention, the remote sensing data acquired by different remote sensors are acquired, the geometric processing and the radiation processing are carried out on the remote sensing data based on the types and the setting parameters of the remote sensors, the first remote sensing data corresponding to the target area is obtained, the normalization processing is carried out on the first remote sensing data based on time, space, angle, spectrum, polarization and phase, the standard remote sensing data is obtained, the geometric and radiation processing is carried out on the acquired data, the impurity data caused by different factors can be eliminated, the data information covered by different cloud areas can be recovered, the quality of the remote sensing data can be improved, the phenomenon that the quality of products fluctuates caused by environmental and operation differences can be solved, the complete surface observation remote sensing data can be acquired, and the products have standard product specifications, so that terminal scientific research and service application are facilitated.
As an optional embodiment of the present invention, the method further comprises: and carrying out corresponding data processing on the standard remote sensing data based on the application requirements interested by the user to obtain target remote sensing data.
By way of example, after standard remote sensing data is obtained, a user can apply or process the standard remote sensing data based on actual demands, for example, steam and agricultural evaluation is performed based on the standard remote sensing data, corresponding data processing can be data statistics or a series of applications such as target detection based on the standard remote sensing data, corresponding data processing can be detection processing technology, and only by way of example, after the standard remote sensing data is obtained through processing, the user applies and processes the standard remote sensing data based on interested application demands, so that applicability and comprehensiveness of the remote sensing data are improved.
As an optional embodiment of the present invention, when the application requirement of interest to the user is an aerosol optical thickness, the performing corresponding data processing on the standard remote sensing data based on the application requirement of interest to the user to obtain the target remote sensing data includes: determining dark pixels based on the normalized difference vegetation index; comparing a preset initial value of the optical thickness of the aerosol with a known searching lookup table of red and blue wave bands to determine the corresponding land surface reflectivities of the red wave band and the blue wave band respectively; calculating a first ratio of the land surface reflectivity of the red wave band to the land surface reflectivity of the blue wave band; and adjusting a preset initial value of the optical thickness of the aerosol based on the relation between the first ratio and a preset ratio to obtain a target value of the optical thickness of the aerosol.
By way of example, the application requirement of interest of the user in the embodiment of the application may be, for example, an aerosol optical thickness, the embodiment of the application may use a dark target method to perform aerosol inversion on standard remote sensing data, firstly, a red band and a near infrared band may be used to calculate a normalized difference vegetation index, dark pixels are determined according to the normalized difference vegetation index, the number of dark pixels in the target range is determined according to the actual situation, for example, the number of dark pixels in a 20 by 20 pixel range is counted, average apparent reflectances of red band and blue band are calculated for all dark pixels meeting the condition, a preset aerosol optical thickness initial value may be set according to the actual situation, for example, the initial value may be set to 0, according to observed geometric data, for example, including solar zenith angle, satellite zenith angle, relative azimuth angle, etc., and the set aerosol optical thickness initial value searches a known lookup table to obtain a first ratio of land table reflectances of red band and blue band, and then the obtained first ratio is compared with a preset ratio, wherein the preset ratio may be calculated, the preset ratio may be set to obtain a corresponding value, and the aerosol optical thickness value may be adjusted to be larger than the first value by iteration value by a certain number of times, if the first ratio is compared with the preset value, and the aerosol optical thickness value is calculated by a certain value.
As an optional embodiment of the present invention, the adjusting the preset initial value of the optical thickness of the aerosol based on the relation between the first ratio and the preset ratio to obtain the target value of the optical thickness of the aerosol includes: calculating the difference value between the first ratio and a preset ratio, and comparing the difference value with a preset threshold value; if the difference value is larger than the preset threshold value, increasing the initial value of the optical thickness of the aerosol by a preset step length to obtain a first value of the optical thickness of the aerosol; comparing the first value of the aerosol optical thickness with a known searching lookup table of red and blue wave bands, and repeatedly determining the corresponding land surface reflectivities of the red wave band and the blue wave band respectively until the initial value of the aerosol optical thickness is increased by a preset step length until the difference value is smaller than or equal to a preset threshold value, thereby obtaining the target value of the aerosol optical thickness.
For example, in the embodiment of the present application, a difference between the first ratio and the preset ratio is calculated, where the preset ratio may be set automatically according to an actual situation, for example, 0.5, and the difference is compared with a preset threshold, where the preset threshold may also be set automatically according to an actual situation, for example, 0.001, if the difference is greater than the preset threshold, the initial value of the optical thickness of the aerosol is increased by a preset step length, and the preset step length may also be set automatically, for example, 0.01, to obtain a first value of the optical thickness of the aerosol, and the observed geometric data are compared with a known search look-up table of red and blue wavelength bands again, so as to obtain the corresponding land table reflectances of the red and blue wavelength bands respectively, until the initial value of the optical thickness of the aerosol is increased by a preset step length, where the initial value of the optical thickness of the aerosol is updated once according to the completion of a repeated step until the difference is less than or equal to the preset threshold, and finally obtain the target value of the optical thickness of the aerosol. The above embodiment is repeated for different aerosol types to obtain aerosol optical thickness values of different types and land surface reflectivities of red and blue wave bands respectively, wherein the aerosol optical thickness value corresponding to the aerosol type preset for a single scene image is an inversion result, and the aerosol optical thickness value corresponding to the aerosol type with the smallest change of the continuously observed land surface reflectivities for a staring imaging image is an inversion result, and the obtained inversion result can be called a target information digital product.
As an optional embodiment of the present invention, the method further comprises: and carrying out retrieval processing on the target remote sensing data to obtain a thematic information graph, wherein the thematic information graph comprises information corresponding to application requirements interested by a user.
The embodiment of the application can use ArcGIS software to manufacture a thematic information graph from the inversion result obtained by the embodiment, can perform retrieval processing to obtain the thematic information graph, clearly marks the target area and the data information of interest of the user on the basis of the map, can enable the user to intuitively see the data information of interest of the user, can be called thematic information products, can comprise multi-DS spliced daily products, single DS week/15 day products, multi-DS spliced week/15 day products, single DS month/quarter products, multi-DS spliced month/quarter products, annual products and even customized periodic products, and can be used for example only.
As an optional embodiment of the present invention, the performing geometric processing on the remote sensing data includes: cloud removal processing is carried out on the remote sensing data acquired by the different remote sensors; correcting remote sensing data subjected to cloud removal; carrying out dodging and color homogenizing treatment and mosaic treatment on the corrected remote sensing data; and cutting the remote sensing data subjected to the mosaic processing to determine a target area.
In an embodiment of the present application, cloud detection or cloud removal processing is performed after obtaining 1A-level satellite remote sensing data, the 1A-level satellite remote sensing data is matched with a clear sky map, a dynamic threshold method is used for cloud detection, the influence of cloud on remote sensing data generation is removed, a cloud removal product can be obtained after the cloud detection or cloud removal processing, and coarse correction is performed on the cloud removal product or correction processing is performed on the cloud removal product by using a system-level RPC (Rational PolynomialCoefficients, rational function correction) model, so as to correct distortion caused by a satellite sensor on the remote sensing data. And (3) performing coarse correction or correcting treatment on the cloud removal product by using a system-level RPC model to obtain an initial RPC correction product, and performing image downscaling and fusion on the initial RPC correction product. Converting the gray value of the initial RPC correction product to 0-255 through the bit-down processing; and carrying out fusion treatment on the images to be fused. If the fusion effect reaches the expected value, extracting geometric control points and carrying out geometric fine correction; otherwise, the images to be fused are registered manually or automatically. And obtaining a fusion product after the lowering and fusion treatment, and extracting geometric control points and carrying out geometric fine correction on the fusion product. And (3) automatically or manually extracting geometric control points, and performing geometric fine correction processing on the fusion product by utilizing an optimized RPC or polynomial to correct geometric distortion of the remote sensing image caused by various factors. And obtaining a fine correction product after geometric control point extraction and geometric fine correction treatment, and carrying out light and color homogenizing treatment on the fine correction product. Aiming at the differences in brightness, color and the like of satellite image data in the same area caused by the influences of factors such as a satellite camera, a satellite image imaging environment and the like, the light and color homogenizing treatment is carried out on the fine correction product, and a certain foundation is laid for analysis and change of ground object images and professional information after embedding. And (3) after the uniform light and uniform color treatment, obtaining a uniform light and uniform color product, and performing mosaic treatment on the uniform light and uniform color product. The coverage of single-view images of satellite images is limited, and in order to complete the whole research of the whole research area, the multi-view images need to be inlaid. And obtaining an inlaid product after the inlaid treatment, and cutting the inlaid product. And cutting the mosaic product according to the researched demand area to determine a target area, which is only used as an example. By performing geometric processing on the remote sensing data, impurity data caused by different factors can be eliminated, so that data of subsequent application is more accurate and comprehensive.
As an optional embodiment of the present invention, the performing radiation processing on the remote sensing data includes: and carrying out radiation correction and atmosphere correction processing on the remote sensing data acquired by the different remote sensors.
Illustratively, the embodiment of the application performs radiation correction on the level 1A satellite remote sensing data to correct or eliminate errors caused by the satellite sensor itself to the radiation value at the entrance of the sensor, and determines that the radiation value at the entrance of the satellite sensor is a true radiation value. The apparent reflectivity/radiance product is obtained after radiation correction, and the atmospheric correction is carried out on the apparent reflectivity/radiance product, which is to remove the influence of the absorption of substances such as atmospheric vapor, ozone, oxygen, carbon dioxide and the like and the scattering of atmospheric molecules and aerosol in the satellite imaging process, obtain the earth surface reflectivity product after the atmospheric correction, and only take as an example, and enable the data of subsequent application to reflect more truly influenced ground object information by carrying out radiation treatment on remote sensing data.
The embodiment of the invention also discloses a remote sensing data processing device, as shown in fig. 2, which comprises: the data acquisition module is used for acquiring remote sensing data acquired by different remote sensors; the first data processing module is used for performing geometric processing and radiation processing on the remote sensing data based on the type and the setting parameters of the remote sensor to obtain first remote sensing data corresponding to a target area; and the second data processing module is used for carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data.
According to the remote sensing data processing device provided by the invention, the remote sensing data acquired by different remote sensors are acquired, the geometric processing and the radiation processing are carried out on the remote sensing data based on the types and the setting parameters of the remote sensors, the first remote sensing data corresponding to the target area is obtained, the normalization processing is carried out on the first remote sensing data based on time, space, angle, spectrum, polarization and phase, the standard remote sensing data is obtained, the geometric and radiation processing is carried out on the acquired data, the impurity data caused by different factors can be eliminated, the data information covered by different cloud areas can be recovered, the quality of the remote sensing data can be improved, the phenomenon that the quality of products fluctuates due to environmental and operation differences can be solved, the complete surface observation remote sensing data can be acquired, and the products have standard product specifications, so that terminal scientific research and service application are facilitated.
As an alternative embodiment of the present invention, the apparatus further comprises: and the data application module is used for carrying out corresponding data processing on the standard remote sensing data based on the application requirements of interest of the user to obtain target remote sensing data.
As an optional embodiment of the present invention, when the application requirement of interest to the user is an aerosol optical thickness, the data application module includes: a dark pixel determining sub-module for determining a dark pixel by applying a vegetation index based on the normalized difference; the comparison sub-module is used for comparing a preset initial value of the optical thickness of the aerosol with a known searching lookup table of red and blue wave bands to determine the corresponding land surface reflectivities of the red wave band and the blue wave band respectively; the ratio calculation sub-module is used for calculating a first ratio of the land surface reflectivity of the red wave band to the land surface reflectivity of the blue wave band; and the numerical value adjusting sub-module is used for adjusting the preset initial value of the optical thickness of the aerosol based on the relation between the first ratio and the preset ratio to obtain the target value of the optical thickness of the aerosol.
As an optional embodiment of the present invention, the numerical adjustment submodule includes: the numerical comparison sub-module is used for calculating the difference value between the first ratio and a preset ratio and comparing the difference value with a preset threshold value; a numerical value increasing sub-module, configured to increase the initial value of the aerosol optical thickness by a preset step length if the difference value is greater than the preset threshold value, so as to obtain a first value of the aerosol optical thickness; and the target value determining module is used for comparing the first value of the aerosol optical thickness with a known searching lookup table of red and blue wave bands, and repeatedly determining the corresponding land surface reflectivity of the red wave band and the blue wave band respectively until the initial value of the aerosol optical thickness is increased by a preset step length until the difference value is smaller than or equal to a preset threshold value, so as to obtain the target value of the aerosol optical thickness.
As an alternative embodiment of the present invention, the apparatus further comprises: and the thematic map making module is used for carrying out search processing on the target remote sensing data to obtain a thematic information map, wherein the thematic information map comprises information corresponding to application requirements interested by a user.
As an optional embodiment of the present invention, the performing geometric processing on the remote sensing data includes: the cloud removal processing sub-module is used for carrying out cloud removal processing on the remote sensing data acquired by the different remote sensors; the correction processing sub-module is used for carrying out correction processing on the remote sensing data subjected to cloud removal processing; the mosaic processing submodule is used for carrying out dodging and color homogenizing processing and mosaic processing on the corrected remote sensing data; and the clipping processing sub-module is used for clipping the remote sensing data subjected to the mosaic processing to determine a target area.
As an optional embodiment of the present invention, the performing radiation processing on the remote sensing data includes: and carrying out radiation correction and atmosphere correction processing on the remote sensing data acquired by the different remote sensors.
The embodiment of the present invention further provides an electronic device, as shown in fig. 3, which may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected by a bus or other means, and in fig. 3, the connection is exemplified by a bus.
The processor 401 may be a central processing unit (Central Processing Unit, CPU). The processor 401 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 402, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the telemetry data processing method in the embodiments of the present invention. The processor 401 executes various functional applications of the processor and data processing, i.e. implements the telemetry data processing method in the above-described method embodiments, by running non-transitory software programs, instructions and modules stored in the memory 402.
Memory 402 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created by the processor 401, or the like. In addition, memory 402 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, such remote memory being connectable to processor 401 through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 402 and when executed by the processor 401, perform the telemetry data processing method of the embodiment shown in fig. 1.
The specific details of the electronic device may be understood correspondingly with respect to the corresponding related descriptions and effects in the embodiment shown in fig. 1, which are not repeated herein.
It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiment method may be implemented by a computer program to instruct related hardware, where the program may be stored in a computer readable storage medium, and the program may include the above-described embodiment method when executed. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope as defined.
Claims (10)
1. A method for processing remote sensing data, comprising:
acquiring remote sensing data acquired by different remote sensors;
performing geometric processing and radiation processing on the remote sensing data based on the type and the setting parameters of the remote sensor to obtain first remote sensing data corresponding to a target area;
and carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data.
2. The method of claim 1, further comprising:
and carrying out corresponding data processing on the standard remote sensing data based on the application requirements interested by the user to obtain target remote sensing data.
3. The method for processing remote sensing data according to claim 2, wherein when the application requirement of interest to the user is an aerosol optical thickness, the performing corresponding data processing on the standard remote sensing data based on the application requirement of interest to the user to obtain target remote sensing data includes:
determining dark pixels based on the normalized difference vegetation index;
comparing a preset initial value of the optical thickness of the aerosol with a known searching lookup table of red and blue wave bands to determine the corresponding land surface reflectivities of the red wave band and the blue wave band respectively;
calculating a first ratio of the land surface reflectivity of the red wave band to the land surface reflectivity of the blue wave band;
and adjusting a preset initial value of the optical thickness of the aerosol based on the relation between the first ratio and a preset ratio to obtain a target value of the optical thickness of the aerosol.
4. The method of claim 3, wherein the adjusting the initial value of the predetermined aerosol optical thickness based on the relation between the first ratio and the predetermined ratio to obtain the target value of the aerosol optical thickness includes:
calculating the difference value between the first ratio and a preset ratio, and comparing the difference value with a preset threshold value;
if the difference value is larger than the preset threshold value, increasing the initial value of the optical thickness of the aerosol by a preset step length to obtain a first value of the optical thickness of the aerosol;
comparing the first value of the aerosol optical thickness with a known searching lookup table of red and blue wave bands, and repeatedly determining the corresponding land surface reflectivities of the red wave band and the blue wave band respectively until the initial value of the aerosol optical thickness is increased by a preset step length until the difference value is smaller than or equal to a preset threshold value, thereby obtaining the target value of the aerosol optical thickness.
5. The method of claim 2, further comprising:
and carrying out retrieval processing on the target remote sensing data to obtain a thematic information graph, wherein the thematic information graph comprises information corresponding to application requirements interested by a user.
6. The method of claim 1, wherein geometrically processing the remote sensing data comprises:
cloud removal processing is carried out on the remote sensing data acquired by the different remote sensors;
correcting remote sensing data subjected to cloud removal;
carrying out dodging and color homogenizing treatment and mosaic treatment on the corrected remote sensing data;
and cutting the remote sensing data subjected to the mosaic processing to determine a target area.
7. The method of claim 1, wherein the performing radiation processing on the remote sensing data comprises: and carrying out radiation correction and atmosphere correction processing on the remote sensing data acquired by the different remote sensors.
8. A remote sensing data processing apparatus, comprising:
the data acquisition module is used for acquiring remote sensing data acquired by different remote sensors;
the first data processing module is used for performing geometric processing and radiation processing on the remote sensing data based on the type and the setting parameters of the remote sensor to obtain first remote sensing data corresponding to a target area;
and the second data processing module is used for carrying out normalization processing on the first remote sensing data based on time, space, angle, spectrum, polarization and phase to obtain standard remote sensing data.
9. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the telemetry data processing method of any of claims 1-7.
10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the remote sensing data processing method according to any of claims 1-7.
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| CN117076200B (en) * | 2023-08-18 | 2024-04-12 | 北京天华星航科技有限公司 | Remote sensing data recovery method, device and storage medium based on metadata |
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