Satellite-based image processing method and device, electronic equipment and storage medium

Abstract

The invention provides a satellite-based image processing method and device, electronic equipment and a storage medium, and relates to the technical field of satellite image processing. The satellite-based image processing method comprises the steps of determining image attributes corresponding to remote sensing image data based on acquired image acquisition target information; based on the image attributes, dividing the remote sensing image data to obtain a plurality of sub remote sensing image data, and determining data processing and transmission rules respectively corresponding to the plurality of sub remote sensing image data; target satellites corresponding to the multiple pieces of sub remote sensing image data are determined, and the target satellites are controlled to process and transmit the corresponding sub remote sensing image data based on the image processing and transmission rules. According to the invention, the applicability of satellite remote sensing image acquisition can be improved.

Description

Technical Field

[0001] This application relates to the field of satellite image processing technology, and in particular to a satellite-based image processing method, apparatus, electronic device, and storage medium. Background Technology

[0002] Remote sensing satellites have been applied in many key areas such as resources, environment, agriculture, disasters, and cities. The core of their application is to acquire remote sensing image data of ground areas through sensors of different bands, providing data support and decision-making basis for various industries. However, due to the large amount of remote sensing data, traditional data processing requires high-performance computers. A single satellite does not have the capacity to process large amounts of remote sensing image data. In other words, remote sensing image data needs to be transmitted to ground computers for a long time for processing to obtain remote sensing images.

[0003] However, traditional remote sensing image data processing methods take too long to process. For situations with high real-time requirements, such as confirming emergency situations in a region or monitoring disaster processes, traditional remote sensing image data processing methods can no longer meet the needs, thus reducing the applicability of remote sensing image data acquisition. Summary of the Invention

[0004] To improve the applicability of satellite remote sensing image acquisition, this application provides a satellite-based image processing method, apparatus, electronic device, and storage medium.

[0005] This application provides a satellite-based image processing method, which adopts the following technical solution: A satellite-based image processing method includes: Based on the acquired image acquisition purpose information, determine the image attributes corresponding to the remote sensing image data; Based on image attributes, remote sensing image data is divided into multiple sub-remote sensing image data, and data processing and transmission rules corresponding to each sub-remote sensing image data are determined. The target satellites corresponding to multiple sub-remote sensing image data are identified, and based on image processing and transmission rules, the target satellites are controlled to process and transmit their corresponding sub-remote sensing image data.

[0006] According to some embodiments, the above-mentioned determination of the image attributes corresponding to remote sensing image data based on the acquired image acquisition purpose information includes: when the image acquisition purpose information includes routine environmental monitoring information, determining the area range corresponding to the remote sensing image data based on the image acquisition purpose information; when no emergency situation occurrence information corresponding to the area range is acquired, determining the image attributes of the remote sensing image data corresponding to the area range as routine image processing attributes.

[0007] According to some embodiments, the above-mentioned determination of image attributes corresponding to remote sensing image data based on the acquired image acquisition purpose information includes: when the image acquisition purpose information includes emergency environment confirmation information, determining the coordinate information corresponding to the emergency environment confirmation information based on the image acquisition purpose information, and acquiring the beam information of the execution satellite corresponding to the remote sensing image data; based on the beam information and coordinate information, determining emergency remote sensing image data from the remote sensing image data, determining the image attributes corresponding to the emergency remote sensing image data as emergency image processing attributes, and determining the image data corresponding to other remote sensing image data besides the emergency remote sensing image data as regular image processing attributes.

[0008] According to some embodiments, the above-mentioned method of dividing remote sensing image data based on image attributes to obtain multiple sub-remote sensing image data includes: when multiple image attributes corresponding to remote sensing image data are all conventional image processing attributes, dividing the remote sensing image data based on a preset data division rule to obtain multiple sub-remote sensing image data; when at least one image attribute among the multiple image attributes corresponding to remote sensing image data is an emergency image processing attribute, determining emergency sub-remote sensing image data based on the coordinate information corresponding to at least one image attribute and the remote sensing image data; and dividing other remote sensing image data in the remote sensing image data except for emergency remote sensing image data based on a preset data division rule to obtain multiple initial sub-remote sensing image data, and forming multiple sub-remote sensing image data by combining the emergency sub-remote sensing image data and the multiple initial sub-remote sensing image data.

[0009] According to some embodiments, the above-mentioned determination of the data processing and transmission rules corresponding to multiple sub-remote sensing image data includes: when the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, determining the data processing rules corresponding to the multiple sub-remote sensing image data as conventional data processing and transmission rules, wherein the conventional data processing and transmission rules are that multiple target satellites process their respective corresponding sub-remote sensing image data to obtain their respective corresponding sub-remote sensing images, and send the multiple sub-remote sensing images to a summarizing satellite for summarization, and the summarizing satellite distributes the summed total remote sensing image.

[0010] According to some embodiments, the above-mentioned determination of the data processing and transmission rules corresponding to multiple sub-remote sensing image data includes: when at least one image attribute among the image attributes corresponding to the multiple sub-remote sensing image data is an emergency image processing attribute, determining the data processing rules corresponding to the multiple sub-remote sensing image data as emergency data processing and transmission rules, wherein the emergency data processing and transmission rules are as follows: the emergency target satellite processes the emergency sub-remote sensing image data corresponding to the emergency image processing attribute to obtain an emergency remote sensing image, and the emergency target satellite directly transmits the emergency image; multiple sub-remote sensing image data other than the emergency sub-remote sensing image data are integrated to obtain target remote sensing image data, and multiple target satellites responsible for performing different data processing steps process the target remote sensing image data sequentially to obtain the target remote sensing image; the target satellite responsible for performing the final data processing step transmits the target remote sensing image.

[0011] According to some embodiments, the above-mentioned determination of the target satellites corresponding to multiple sub-remote sensing image data includes: when the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, determining the data volume corresponding to the multiple sub-remote sensing image data and obtaining the remaining resource volume corresponding to the multiple initial satellites, and based on the multiple data volumes and multiple remaining resource volumes, selecting the target satellites corresponding to the multiple sub-remote sensing image data from the multiple initial satellites; when at least one image attribute among the image attributes corresponding to the multiple sub-remote sensing image data is an emergency image processing attribute, obtaining multiple execution steps corresponding to the remote sensing image data and the resource consumption corresponding to the multiple execution steps, and based on the multiple resource consumption, determining the target satellites corresponding to the multiple execution steps.

[0012] This application provides a satellite-based image processing device, which adopts the following technical solution: A satellite-based image processing device includes: an image attribute determination module, a rule determination module, and a control module. The image attribute determination module determines the image attributes corresponding to remote sensing image data based on acquired image acquisition target information. The rule determination module divides the remote sensing image data into multiple sub-remote sensing image data based on the image attributes and determines the data processing and transmission rules corresponding to each sub-remote sensing image data. The control module determines the target satellite corresponding to each of the multiple sub-remote sensing image data and controls the target satellite to process and transmit its corresponding sub-remote sensing image data based on the image processing and transmission rules.

[0013] According to some embodiments, the image attribute determination module described above is specifically used for: when the image acquisition purpose information includes routine environmental monitoring information, determining the area range corresponding to the remote sensing image data based on the image acquisition purpose information; and when no emergency situation occurrence information corresponding to the area range is obtained, determining that the image attributes of the remote sensing image data corresponding to the area range are routine image processing attributes.

[0014] According to some embodiments, the image attribute determination module described above is specifically used for: when the image acquisition target information includes emergency environment confirmation information, determining the coordinate information corresponding to the emergency environment confirmation information based on the image acquisition target information, and obtaining the beam information of the execution satellite corresponding to the remote sensing image data; based on the beam information and coordinate information, determining emergency remote sensing image data from the remote sensing image data, determining the image attribute corresponding to the emergency remote sensing image data as an emergency image processing attribute, and determining the image data corresponding to other remote sensing image data besides the emergency remote sensing image data as regular image processing attributes.

[0015] According to some embodiments, the rule determination module described above is specifically used for: when multiple image attributes corresponding to remote sensing image data are all conventional image processing attributes, dividing the remote sensing image data based on a preset data division rule to obtain multiple sub-remote sensing image data; when at least one image attribute among the multiple image attributes corresponding to remote sensing image data is an emergency image processing attribute, determining emergency sub-remote sensing image data based on the coordinate information corresponding to at least one image attribute and the remote sensing image data; and dividing other remote sensing image data in the remote sensing image data excluding emergency remote sensing image data based on the preset data division rule to obtain multiple initial sub-remote sensing image data, and forming multiple sub-remote sensing image data from the emergency sub-remote sensing image data and the multiple initial sub-remote sensing image data.

[0016] According to some embodiments, the rule determination module described above is specifically used to: determine the data processing rule corresponding to the multiple sub-remote sensing image data as a routine data processing and transmission rule when the image attributes corresponding to the multiple sub-remote sensing image data are all routine image processing attributes. The routine data processing and transmission rule is that multiple target satellites process their respective sub-remote sensing image data to obtain their respective sub-remote sensing images, and send the multiple sub-remote sensing images to the aggregation satellite for aggregation. The aggregation satellite then distributes the aggregated total remote sensing image.

[0017] According to some embodiments, the rule determination module described above is specifically used for: when at least one image attribute in the image attributes corresponding to multiple sub-remote sensing image data is an emergency image processing attribute, determining the data processing rules corresponding to the multiple sub-remote sensing image data as emergency data processing and transmission rules, wherein the emergency data processing and transmission rules are as follows: the emergency target satellite processes the emergency sub-remote sensing image data corresponding to the emergency image processing attribute to obtain an emergency remote sensing image, and the emergency target satellite directly transmits the emergency image; multiple sub-remote sensing image data other than the emergency sub-remote sensing image data are integrated to obtain target remote sensing image data, and multiple target satellites responsible for executing different data processing steps process the target remote sensing image data sequentially to obtain the target remote sensing image; the target satellite responsible for executing the final data processing step transmits the target remote sensing image.

[0018] According to some embodiments, the control module described above is specifically used for: when the image attributes corresponding to multiple sub-remote sensing image data are all conventional image processing attributes, determining the data volume corresponding to each of the multiple sub-remote sensing image data and obtaining the remaining resource volume corresponding to each of the multiple initial satellites, and based on the multiple data volumes and the multiple remaining resource volumes, selecting the target satellites corresponding to each of the multiple sub-remote sensing image data from the multiple initial satellites; when at least one image attribute among the image attributes corresponding to each of the multiple sub-remote sensing image data is an emergency image processing attribute, obtaining multiple execution steps corresponding to the remote sensing image data and the resource consumption corresponding to each of the multiple execution steps, and based on the multiple resource consumption volumes, determining the target satellites corresponding to each of the multiple execution steps.

[0019] This application provides an electronic device that adopts the following technical solution: An electronic device comprising: processor; The memory stores a computer program, which, when executed by the processor, causes the processor to perform the aforementioned satellite-based image processing method.

[0020] This application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the aforementioned satellite-based image processing method.

[0021] According to the embodiments provided in this application, the image attributes of remote sensing image data are determined by the image acquisition purpose information, and appropriate data processing rules and transmission rules are determined according to different image attributes. The remote sensing image data is then processed and transmitted using the data processing rules and transmission rules, thereby improving the adaptability between the image acquisition purpose and the image data processing and transmission method, and thus improving the applicability of satellite remote sensing image acquisition. Attached Figure Description

[0022] Figure 1 This is a block diagram illustrating a satellite-based image processing method according to an embodiment of this application; Figure 2 This is a block diagram of a satellite-based image processing device according to an embodiment of this application; Figure 3 This is a schematic diagram of an electronic device according to an embodiment of this application.

[0023] Explanation of reference numerals in the attached figures: 20: Satellite-based image processing device; 201: Image attribute determination module; 202: Rule determination module; 203: Control module; 30: Electronic device; 301: Processor; 302: Bus; 303: Memory; 304: Transceiver. Detailed Implementation

[0024] The following is in conjunction with the appendix Figures 1-3 This application will be described in further detail.

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] This application provides a satellite-based image processing method that can be executed by an electronic device, which can be a server. The server can be an independent physical server, a server cluster composed of multiple physical servers, or a distributed device, or a cloud server that provides cloud computing services. The server can be installed on a ground terminal, a low-Earth orbit satellite, or a high-Earth orbit satellite.

[0027] Reference Figure 1 A satellite-based image processing method includes steps S101, S102, and S103, wherein... S101, Based on the acquired image acquisition purpose information, determine the image attributes corresponding to the remote sensing image data.

[0028] In some embodiments, the image acquisition purpose information is information reflecting the need and requirements for acquiring images within a specific area; the remote sensing image data is remote sensing data representing images acquired by satellites monitoring a specific area; and the image attributes are information reflecting the urgency of remote sensing image data processing.

[0029] The electronic equipment acquires image acquisition purpose information subjectively set by technicians from the ground terminal. Subsequently, the electronic equipment analyzes the image acquisition purpose information to determine the information it contains that characterizes the purpose of acquiring the image. This purpose information can be routine environmental monitoring information or emergency environmental confirmation information. At the same time, the electronic equipment acquires remote sensing image data collected by the satellite and, based on the purpose information of the acquired image, determines the image attributes corresponding to the remote sensing image data.

[0030] S102, Based on image attributes, the remote sensing image data is divided into multiple sub-remote sensing image data, and the data processing and transmission rules corresponding to the multiple sub-remote sensing image data are determined respectively.

[0031] In some embodiments, sub-remote sensing image data refers to a portion of the remote sensing image data; data processing and transmission rules refer to the processing rules that enable the satellite to process the remote sensing image data and the transmission rules that enable the satellite to output the processed remote sensing image data.

[0032] Electronic equipment divides remote sensing image data into multiple sub-remote sensing image data based on image attributes. The electronic equipment then determines whether the image attributes of each sub-remote sensing image data conform to preset image attributes. Based on the determination result, it sets data processing and transmission rules that meet the determination result. These data processing and transmission rules serve as the basis for controlling the data and transmission of remote sensing images. These data processing and transmission rules can be routine or emergency. Routine data processing and transmission rules aim to obtain high-quality remote sensing images, with efficiency in data processing and transmission not being a primary requirement. Emergency data processing and transmission rules aim to obtain remote sensing images efficiently, with high-quality data processing and transmission not being a primary requirement.

[0033] S103: Determine the target satellites corresponding to the multiple sub-remote sensing image data, and control the target satellites to process and transmit their corresponding sub-remote sensing image data based on image processing and transmission rules.

[0034] In some embodiments, the target satellite is a satellite that processes multiple sub-remote sensing image data.

[0035] After determining the data processing and transmission rules suitable for each sub-remote sensing image data, the electronic equipment identifies the target satellite suitable for each sub-remote sensing image data from multiple initial satellites. This can be achieved by determining the relationship between the data volume of the sub-remote sensing image data and the remaining resources of the initial satellites; or by determining the total data volume of multiple sub-remote sensing image data, determining the resource consumption for a single data processing step based on the total data volume, and then identifying the target satellite based on the relationship between the resource consumption and the remaining resources of the initial satellites. The multiple initial satellites belong to the same constellation.

[0036] After the electronic equipment identifies the target satellite corresponding to the sub-remote sensing image data, it uses the established data processing and transmission rules to control the target satellite to process and transmit multiple sub-remote sensing image data. By using the image acquisition purpose information, the image attributes of the remote sensing image data are determined, and appropriate data processing and transmission rules are set according to different image data. The remote sensing image data is then processed and transmitted using these rules, thereby improving the adaptability between the remote sensing image acquisition purpose and the image data processing and transmission process, and ultimately enhancing the applicability of satellite remote sensing image acquisition.

[0037] Step S101: Based on the acquired image acquisition purpose information, determine the image attributes corresponding to the remote sensing image data, including: if the image acquisition purpose information includes routine environmental monitoring information, determine the area range corresponding to the remote sensing image data based on the image acquisition purpose information; if no emergency situation occurrence information corresponding to the area range is acquired, determine that the image attributes of the remote sensing image data corresponding to the area range are routine image processing attributes.

[0038] In some embodiments, the area range is the ground area range corresponding to the remote sensing image data.

[0039] The electronic equipment analyzes the information acquired from the images. If it determines that the images contain routine environmental monitoring information, it indicates that the purpose of the remote sensing image data acquisition is to utilize the information from routine satellite surveys of the ground area. If no emergency has occurred in the ground area, then the primary requirement for processing the remote sensing image data is to acquire high-quality, high-precision remote sensing images. Therefore, when determining the image attributes of the remote sensing image data, it can be determined that the image attributes of the remote sensing image data are routine image processing attributes.

[0040] However, it cannot be ruled out that an emergency has indeed occurred within the area corresponding to the remote sensing image data. Therefore, if the electronic equipment does not acquire information about the emergency in the area corresponding to the remote sensing image data, it is possible to determine that the image attributes of the remote sensing image data corresponding to the area are routine image processing attributes, wherein the emergency information is generated by environmental monitoring devices installed within the area.

[0041] Step S101, based on the acquired image acquisition purpose information, determines the image attributes corresponding to the remote sensing image data, including: if the image acquisition purpose information includes emergency environment confirmation information, determining the coordinate information corresponding to the emergency environment confirmation information based on the image acquisition purpose information, and acquiring the beam information of the execution satellite corresponding to the remote sensing image data; based on the beam information and coordinate information, determining emergency remote sensing image data from the remote sensing image data, determining the image attributes corresponding to the emergency remote sensing image data as emergency image processing attributes, and determining the image data corresponding to other remote sensing image data besides the emergency remote sensing image data as regular image processing attributes.

[0042] In some embodiments, when an electronic device analyzes the image acquisition purpose information and determines that it contains emergency environment confirmation information, it indicates that the purpose of the remote sensing image data acquisition is to use satellites to further determine whether an emergency has actually occurred within the ground area. Therefore, the primary requirement for processing the remote sensing image data is to determine the location of the emergency as quickly as possible.

[0043] Therefore, when determining the image attributes of remote sensing image data, the image attributes of the remote sensing image data can be determined as emergency image processing attributes. That is, the electronic equipment analyzes the target information of the image acquisition to determine the coordinate information corresponding to the emergency environment confirmation information. The coordinate information can be point coordinates or area coordinates. At the same time, the electronic equipment acquires the beam information of the executing satellite corresponding to the remote sensing image data. Subsequently, the electronic equipment uses the coordinate information and the position information of the executing satellite to determine the target beam from the beam information, and determines a portion of the remote sensing image data corresponding to the target beam as emergency remote sensing image data, and determines the image attributes of the emergency remote sensing image data as emergency image processing attributes, while the image attributes corresponding to other remote sensing image data besides the emergency remote sensing image data are regular image processing attributes.

[0044] In step S102, the remote sensing image data is divided based on image attributes to obtain multiple sub-remote sensing image data. This includes: when multiple image attributes corresponding to the remote sensing image data are all conventional image processing attributes, the remote sensing image data is divided based on a preset data division rule to obtain multiple sub-remote sensing image data; when at least one image attribute among the multiple image attributes corresponding to the remote sensing image data is an emergency image processing attribute, emergency sub-remote sensing image data is determined based on the coordinate information corresponding to at least one image attribute and the remote sensing image data; and based on the preset data division rule, other remote sensing image data in the remote sensing image data, excluding emergency remote sensing image data, is divided to obtain multiple initial sub-remote sensing image data. The emergency sub-remote sensing image data and the multiple initial sub-remote sensing image data then form multiple sub-remote sensing image data.

[0045] In some embodiments, when the electronic device determines that multiple image attributes corresponding to remote sensing image data are all conventional image processing attributes, the electronic device calls a preset data partitioning rule to partition the remote sensing image data to obtain multiple sub-remote sensing image data. The preset data partitioning rule is to uniformly divide the remote sensing image data into multiple sub-remote sensing image data.

[0046] When the electronic device determines that at least one of the multiple image attributes corresponding to the remote sensing image data is an emergency image processing attribute, it uses the coordinate information corresponding to at least one image attribute to determine the emergency sub-remote sensing image data from the remote sensing image data, and identifies the emergency sub-remote sensing image data as one of the multiple sub-remote sensing image data finally determined. At the same time, the electronic device divides the other remote sensing image data in the remote sensing image data, excluding the emergency sub-remote sensing image data, according to a preset data division rule, to obtain multiple sub-remote sensing image data.

[0047] In step S102, the data processing and transmission rules corresponding to the multiple sub-remote sensing image data are determined, including: when the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, the data processing rules corresponding to the multiple sub-remote sensing image data are determined to be conventional data processing and transmission rules. The conventional data processing and transmission rules are that multiple target satellites process their respective sub-remote sensing image data to obtain their respective sub-remote sensing images, and send the multiple sub-remote sensing images to the aggregation satellite for aggregation. The aggregation satellite then distributes the aggregated total remote sensing image.

[0048] In some embodiments, when the electronic device determines that the image attributes corresponding to the multiple sub-remote sensing image data are all routine image processing attributes, it indicates that no emergency has occurred within the area corresponding to the multiple sub-remote sensing image data, and the purpose of acquiring the remote sensing image data is to perform routine inspections of the ground area using satellites. Therefore, it is possible to consider routine processing and transmission of the multiple sub-remote sensing image data. Thus, the electronic device determines that the data processing rules corresponding to the multiple sub-remote sensing image data are routine data processing and transmission rules, that is, the multiple sub-remote sensing image data are transmitted to their respective target satellites, which process their corresponding sub-remote sensing image data and send the processed multiple sub-remote sensing image data to the aggregation satellite. The aggregation satellite stitches the processed multiple sub-remote sensing image data together to obtain a remote sensing image, and the aggregation satellite sends the remote sensing image to the control terminal of the ground control center.

[0049] In step S102, the data processing and transmission rules corresponding to the multiple sub-remote sensing image data are determined, including: when at least one image attribute among the image attributes corresponding to the multiple sub-remote sensing image data is an emergency image processing attribute, the data processing rules corresponding to the multiple sub-remote sensing image data are determined to be emergency data processing and transmission rules. The emergency data processing and transmission rules involve: the emergency target satellite processing the emergency sub-remote sensing image data corresponding to the emergency image processing attribute to obtain an emergency remote sensing image, which is then directly transmitted by the emergency target satellite; integrating the multiple sub-remote sensing image data other than the emergency sub-remote sensing image data to obtain target remote sensing image data, which is then processed sequentially by multiple target satellites responsible for executing different data processing steps to obtain the target remote sensing image; and finally, the target remote sensing image is transmitted by the target satellite responsible for executing the final data processing step.

[0050] In some embodiments, if the electronic device determines that at least one image attribute among the image attributes corresponding to multiple sub-remote sensing image data is an emergency image processing attribute, it indicates that there is a possibility of an emergency situation occurring within the area of ​​the sub-remote sensing image data corresponding to any image attribute, and the purpose of the remote sensing image data acquired is to use the execution satellite to quickly determine the authenticity of the emergency situation, thereby determining that the data processing rules corresponding to the multiple sub-remote sensing image data are emergency data processing and transmission rules.

[0051] This involves identifying an emergency target satellite from multiple initial satellites. The emergency target satellite then processes the emergency sub-remote sensing image data corresponding to the emergency image processing attributes to obtain an emergency remote sensing image. This emergency remote sensing image is then directly transmitted to the control terminal at the ground control center for display. Simultaneously, other sub-remote sensing image data, excluding the emergency sub-remote sensing image data, are integrated to obtain the target remote sensing image. Multiple target satellites responsible for executing different data processing steps sequentially process the target remote sensing image data. Finally, the target satellite responsible for performing the final data processing step transmits the processed target remote sensing image to the control terminal at the ground control center. This allows the image corresponding to the emergency sub-remote sensing image data to be quickly transmitted to the control terminal at the ground control center, enabling technicians to quickly confirm the authenticity of the emergency situation.

[0052] In step S103, determining the target satellites corresponding to the multiple sub-remote sensing image data includes: when the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, determining the data volume corresponding to the multiple sub-remote sensing image data and obtaining the remaining resource volume corresponding to the multiple initial satellites, and based on the multiple data volumes and multiple remaining resource volumes, selecting the target satellites corresponding to the multiple sub-remote sensing image data from the multiple initial satellites; when at least one image attribute among the image attributes corresponding to the multiple sub-remote sensing image data is an emergency image processing attribute, obtaining the multiple execution steps corresponding to the remote sensing image data and the resource consumption corresponding to the multiple execution steps, and based on the multiple resource consumption, determining the target satellites corresponding to the multiple execution steps.

[0053] In some embodiments, when the electronic device determines that the image attributes corresponding to multiple sub-remote sensing image data are conventional image processing attributes, the electronic device analyzes the multiple sub-remote sensing image data to determine the data volume corresponding to each of them. At the same time, the electronic device obtains the remaining resource volume corresponding to multiple initial satellites. Subsequently, the electronic device matches the multiple data volumes with the multiple remaining resource volumes to determine the target satellite corresponding to each sub-remote sensing image data from the multiple initial satellites. Wherein, if the difference between the remaining resource volume of any initial satellite and the data volume of any sub-remote sensing image data is within a preset difference range, any initial satellite is determined as the target satellite for processing any sub-remote sensing image data.

[0054] When the electronic device determines that at least one image data in the image attributes corresponding to multiple sub-remote sensing image data is an emergency image processing attribute, the electronic device obtains the total amount of data corresponding to the remote sensing image data, and obtains multiple execution steps that need to be performed on the remote sensing image data and the resource consumption corresponding to each execution step. Subsequently, the electronic device matches the multiple resource consumption amounts with the remaining resource amounts of multiple initial satellites, and if any one of the multiple resource consumption amounts is less than any one of the multiple remaining resource amounts, the initial satellite with any remaining resource amount is determined as the target satellite for performing the execution step with that resource consumption amount.

[0055] In some embodiments, the electronic device acquires the amount of emergency sub-remote sensing image data corresponding to the emergency image sorting attribute, and if any of the remaining resource amounts corresponding to multiple initial satellites is greater than twice the amount of emergency sub-remote sensing image data, the initial satellite corresponding to any of the remaining resource amounts is determined as the target satellite of the emergency sub-remote sensing image data.

[0056] This application provides a satellite-based image processing device, which adopts the following technical solution: Reference Figure 2 A satellite-based image processing device 20 includes: an image attribute determination module 201, a rule determination module 202, and a control module 203. The image attribute determination module 201 determines the image attributes corresponding to the remote sensing image data based on the acquired image acquisition target information. The rule determination module 202 divides the remote sensing image data into multiple sub-remote sensing image data based on the image attributes and determines the data processing and transmission rules corresponding to each of the multiple sub-remote sensing image data. The control module 203 determines the target satellite corresponding to each of the multiple sub-remote sensing image data and controls the target satellite to process and transmit its corresponding sub-remote sensing image data based on the image processing and transmission rules.

[0057] In some embodiments, the image attribute determination module 201 described above is specifically used to: determine the area range corresponding to the remote sensing image data based on the image acquisition purpose information when the image acquisition purpose information includes routine environmental monitoring information; and determine the image attributes of the remote sensing image data corresponding to the area range as routine image processing attributes when no emergency situation occurrence information corresponding to the area range is obtained.

[0058] In some embodiments, the image attribute determination module 202 described above is specifically used for: when the image acquisition purpose information includes emergency environment confirmation information, determining the coordinate information corresponding to the emergency environment confirmation information based on the image acquisition purpose information, and obtaining the beam information of the execution satellite corresponding to the remote sensing image data; based on the beam information and coordinate information, determining emergency remote sensing image data from the remote sensing image data, determining the image attribute corresponding to the emergency remote sensing image data as an emergency image processing attribute, and determining the image data corresponding to other remote sensing image data besides the emergency remote sensing image data as regular image processing attributes.

[0059] In some embodiments, the rule determination module 202 described above is specifically used for: when multiple image attributes corresponding to remote sensing image data are all conventional image processing attributes, dividing the remote sensing image data based on a preset data division rule to obtain multiple sub-remote sensing image data; when at least one image attribute among the multiple image attributes corresponding to remote sensing image data is an emergency image processing attribute, determining emergency sub-remote sensing image data based on the coordinate information corresponding to at least one image attribute and the remote sensing image data; and dividing other remote sensing image data in the remote sensing image data excluding emergency remote sensing image data based on the preset data division rule to obtain multiple initial sub-remote sensing image data, and forming multiple sub-remote sensing image data by combining the emergency sub-remote sensing image data and the multiple initial sub-remote sensing image data.

[0060] In some embodiments, the rule determination module 202 described above is specifically used to: determine the data processing rule corresponding to the multiple sub-remote sensing image data as a routine data processing and transmission rule when the image attributes corresponding to the multiple sub-remote sensing image data are all routine image processing attributes. The routine data processing and transmission rule is that multiple target satellites process their respective sub-remote sensing image data to obtain their respective sub-remote sensing images, and send the multiple sub-remote sensing images to the aggregation satellite for aggregation, and the aggregation satellite distributes the aggregated total remote sensing image.

[0061] In some embodiments, the rule determination module 202 described above is specifically used to: determine the data processing rules corresponding to the multiple sub-remote sensing image data as emergency data processing and transmission rules when at least one image attribute in the image attributes corresponding to the multiple sub-remote sensing image data is an emergency image processing attribute; wherein the emergency data processing and transmission rules are as follows: the emergency target satellite processes the emergency sub-remote sensing image data corresponding to the emergency image processing attribute to obtain an emergency remote sensing image, and the emergency target satellite directly transmits the emergency image; the multiple sub-remote sensing image data other than the emergency sub-remote sensing image data are integrated to obtain target remote sensing image data, and the multiple target satellites responsible for performing different data processing steps process the target remote sensing image data sequentially to obtain the target remote sensing image; and the target satellite responsible for performing the final data processing step transmits the target remote sensing image.

[0062] In some embodiments, the control module 203 described above is specifically used for: when the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, determining the data volume corresponding to the multiple sub-remote sensing image data and obtaining the remaining resource volume corresponding to the multiple initial satellites, and based on the multiple data volumes and the multiple remaining resource volumes, selecting the target satellites corresponding to the multiple sub-remote sensing image data from the multiple initial satellites; when at least one image attribute among the image attributes corresponding to the multiple sub-remote sensing image data is an emergency image processing attribute, obtaining the multiple execution steps corresponding to the remote sensing image data and the resource consumption corresponding to the multiple execution steps, and based on the multiple resource consumption, determining the target satellites corresponding to the multiple execution steps.

[0063] In some embodiments, the image attribute determination module 201 may include logic circuits or be implemented by a central processing unit, digital signal processor or field-programmable gate array included in an electronic device; the rule determination module 202 may include logic circuits or be implemented by a central processing unit, digital signal processor or field-programmable gate array included in an electronic device; the control module 203 may include logic circuits or be implemented by a central processing unit, digital signal processor or field-programmable gate array included in an electronic device.

[0064] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0065] This application discloses an electronic device, including: a processor; and a memory storing a computer program, which, when executed by the processor, causes the processor to perform the above-described satellite-based image processing method.

[0066] For example, refer to Figure 3 , Figure 3 The illustrated electronic device 30 includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 30 does not constitute a limitation on the embodiments of the present invention.

[0067] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in this disclosure. Processor 301 may also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0068] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0069] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other storage medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0070] The memory 303 stores application code that executes the present invention and is controlled by the processor 301. The processor 301 executes the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0071] Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0072] This application discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, causes the processor to perform a satellite-based image processing method.

[0073] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0074] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A satellite-based image processing method, characterized in that, include: Based on the acquired image acquisition purpose information, determine the image attributes corresponding to the remote sensing image data; Based on the image attributes, the remote sensing image data is divided into multiple sub-remote sensing image data, and the data processing and transmission rules corresponding to the multiple sub-remote sensing image data are determined respectively. The target satellites corresponding to the multiple sub-remote sensing image data are determined, and based on the image processing and transmission rules, the target satellites are controlled to process and transmit their corresponding sub-remote sensing image data.

2. The method according to claim 1, characterized in that, The process of determining the image attributes corresponding to the remote sensing image data based on the acquired image acquisition target information includes: If the image acquisition purpose information includes conventional environmental monitoring information, the area range corresponding to the remote sensing image data is determined based on the image acquisition purpose information. In the absence of emergency situation information corresponding to the area, the image attributes of the remote sensing image data corresponding to the area are determined to be routine image processing attributes.

3. The method according to claim 1, characterized in that, The process of determining the image attributes corresponding to the remote sensing image data based on the acquired image acquisition target information includes: If the image acquisition target information includes emergency environment confirmation information, the coordinate information corresponding to the emergency environment confirmation information is determined based on the image acquisition target information, and the beam information of the execution satellite corresponding to the remote sensing image data is obtained. Based on the beam information and the coordinate information, emergency remote sensing image data is determined from the remote sensing image data, and the image attribute corresponding to the emergency remote sensing image data is determined to be an emergency image processing attribute. In addition, the image data corresponding to other remote sensing image data in the remote sensing image data other than the emergency remote sensing image data is determined to be a regular image processing attribute.

4. The method according to claim 1, characterized in that, The remote sensing image data is divided based on the image attributes to obtain multiple sub-remote sensing image data, including: When the multiple image attributes corresponding to the remote sensing image data are all conventional image processing attributes, the remote sensing image data is divided based on a preset data partitioning rule to obtain multiple sub-remote sensing image data. If at least one of the multiple image attributes corresponding to the remote sensing image data is an emergency image processing attribute, emergency sub-remote sensing image data is determined based on the coordinate information corresponding to the at least one image attribute and the remote sensing image data. Based on the preset data partitioning rules, other remote sensing image data in the remote sensing image data, excluding the emergency remote sensing image data, are partitioned to obtain multiple initial sub-remote sensing image data. The emergency sub-remote sensing image data and the multiple initial sub-remote sensing image data are then combined to form the multiple sub-remote sensing image data.

5. The method according to claim 1, characterized in that, The step of determining the data processing and transmission rules corresponding to the plurality of sub-remote sensing image data includes: When the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, the data processing rules corresponding to the multiple sub-remote sensing image data are determined to be conventional data processing and transmission rules, wherein, The conventional data processing and transmission rules are as follows: multiple target satellites process their respective sub-remote sensing image data to obtain their respective sub-remote sensing images, and send the multiple sub-remote sensing images to a summarizing satellite for aggregation. The summarizing satellite then distributes the aggregated total remote sensing image.

6. The method according to claim 1, characterized in that, The step of determining the data processing and transmission rules corresponding to the plurality of sub-remote sensing image data includes: If at least one image attribute among the image attributes corresponding to the plurality of sub-remote sensing image data is an emergency image processing attribute, then the data processing rule corresponding to the plurality of sub-remote sensing image data is determined to be an emergency data processing and transmission rule, wherein, The emergency data processing and transmission rules are as follows: the emergency target satellite processes the emergency sub-remote sensing image data corresponding to the emergency image processing attributes to obtain the emergency remote sensing image, and the emergency target satellite directly transmits the emergency image; multiple sub-remote sensing image data other than the emergency sub-remote sensing image data are integrated to obtain target remote sensing image data, and multiple target satellites responsible for performing different data processing steps process the target remote sensing image data in sequence to obtain the target remote sensing image, and the target satellite responsible for performing the final data processing step transmits the target remote sensing image.

7. The method according to claim 1, characterized in that, The step of determining the target satellite corresponding to each of the plurality of sub-remote sensing image data includes: When the image attributes corresponding to the multiple sub-remote sensing image data are all conventional image processing attributes, the data volume corresponding to the multiple sub-remote sensing image data and the remaining resource volume corresponding to the multiple initial satellites are determined. Based on the multiple data volumes and the multiple remaining resource volumes, the target satellites corresponding to the multiple sub-remote sensing image data are selected from the multiple initial satellites. If at least one image attribute in the image attributes corresponding to the plurality of sub-remote sensing image data is an emergency image processing attribute, multiple execution steps corresponding to the remote sensing image data and the resource consumption corresponding to the plurality of execution steps are obtained, and the target satellite corresponding to the plurality of execution steps is determined based on the plurality of resource consumption.

8. A satellite-based image processing device, characterized in that, include: The image attribute determination module is used to determine the image attributes corresponding to the remote sensing image data based on the acquired image acquisition purpose information; The rule determination module is used to divide the remote sensing image data based on the image attributes to obtain multiple sub-remote sensing image data, and to determine the data processing and transmission rules corresponding to the multiple sub-remote sensing image data respectively; The control module is used to determine the target satellites corresponding to the multiple sub-remote sensing image data, and to control the target satellites to process and transmit their corresponding sub-remote sensing image data based on the image processing and transmission rules.

9. An electronic device, characterized in that, include: processor; A memory storing a computer program that, when executed by the processor, causes the processor to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the processor performs the method according to any one of claims 1-7.

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