Remote sensing information processing method and device, equipment and storage medium

Abstract

The application discloses a remote sensing information processing method and device, equipment and a storage medium, and relates to the field of communication computers. The method comprises the following steps: when an analysis request submitted by a remote sensing area server end is received, obtaining to-be-analyzed remote sensing information, wherein the to-be-analyzed remote sensing information does not comprise object identification information used for identifying a to-be-analyzed object corresponding to the analysis request, and the object identification information is processed at the remote sensing area server end; locally analyzing and processing the to-be-analyzed remote sensing information to obtain a remote sensing information analysis result; and sending the remote sensing information analysis result to the remote sensing area server end, so that the remote sensing area server end processes the remote sensing information analysis result. In the application, an intelligent analysis platform with high resource consumption is built only once at a local server end, and the object identification information is leaked, so that resources are saved, benefits are improved, and the privacy of the to-be-analyzed object is protected.

Description

Technical Field

[0001] This application relates to the field of communication computers, and in particular to a remote sensing information processing method, apparatus, device and storage medium. Background Technology

[0002] With the continuous development of the Internet of Things, more and more technologies (such as distributed systems, blockchain, artificial intelligence, etc.) are being applied in the field of communication and computing. However, the field of communication and computing also places higher demands on technology, such as higher requirements on remote sensing information processing.

[0003] Remote sensing information refers to the acquisition of remote sensing images or remote sensing segments through methods such as ground-based remote sensing and aerial remote sensing, and then the analysis of these images or segments to obtain the required information. Ground-based remote sensing sensors can be installed on ground platforms such as vehicles, ships, or handheld devices, while aerial remote sensing sensors are installed on aircraft such as artificial satellites, space shuttles, space stations, and rockets.

[0004] Remote sensing information can be used to assess the production status of loan-receiving factories in a given area, or to evaluate the economic activity of the region. However, the analysis of remote sensing information requires the integration of powerful artificial intelligence technologies. Currently, small companies or financial institutions need to establish remote sensing information analysis platforms within their jurisdictions to process the data. However, investing too much in establishing such platforms in a given area results in low returns, highlighting a technical problem of low efficiency. Summary of the Invention

[0005] The main objective of this application is to provide a remote sensing information processing method, apparatus, device, and storage medium, aiming to solve the technical problem in the prior art that the analysis of remote sensing information in the area under the jurisdiction of financial institutions results in high resource consumption and low returns.

[0006] To achieve the above objectives, this application provides a remote sensing information processing method applied to a local server. The remote sensing information processing method includes: upon receiving an analysis request submitted by a remote sensing regional server, acquiring remote sensing information to be analyzed; wherein the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing regional server; analyzing and processing the remote sensing information to be analyzed locally to obtain a remote sensing information analysis result; and sending the remote sensing information analysis result to the remote sensing regional server for the remote sensing regional server to perform various processing steps on the remote sensing information analysis result.

[0007] Optionally, the step of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis result includes: determining the computing power resources of each local analysis queue, sorting the computing power resources to obtain a sorting result; determining the target analysis queue based on the sorting result and the type of the remote sensing information to be analyzed, and analyzing and processing the remote sensing information to be analyzed based on the target analysis queue to obtain the remote sensing information analysis result.

[0008] Optionally, the remote sensing information to be analyzed includes satellite image information to be analyzed; the step of obtaining the remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing area server further includes: obtaining satellite image information to be analyzed including a specified analysis strategy when receiving an analysis request submitted by the remote sensing area server; wherein, the specified analysis strategy includes a specified analysis model and a specified analysis method.

[0009] Optionally, the step of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis result includes: determining whether to partition the remote sensing information to be analyzed based on the attributes of the remote sensing region to which the remote sensing information to be analyzed belongs; if it is determined that the remote sensing information to be analyzed should be partitioned, processing the remote sensing information to be analyzed in each partition simultaneously to obtain the analysis result of each partition; and aggregating the partition analysis results to obtain the remote sensing information analysis result.

[0010] Optionally, the step of obtaining the remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing regional server includes: obtaining the remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing regional server; wherein the remote sensing regional server generates the analysis request based on the regional association information circled by the user on the corresponding service interface of the remote sensing regional server.

[0011] Optionally, the step of sending the remote sensing information analysis result to the remote sensing area server for the remote sensing area server to perform various processing on the remote sensing information analysis result further includes: generating an ID number for the remote sensing information analysis result based on the remote sensing information to be analyzed, and mapping and saving the ID number and the remote sensing information analysis result; sending the remote sensing information analysis result to the remote sensing area server for the remote sensing area server to map and save the remote sensing information analysis result and the ID number.

[0012] Optionally, the step of obtaining the remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing area server further includes: obtaining the remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing area server; wherein the remote sensing information to be analyzed includes the production status of the remote sensing area under its jurisdiction.

[0013] Optionally, after the step of sending the remote sensing information analysis results to the remote sensing area server for the remote sensing area server to perform various processing on the remote sensing information analysis results, the method further includes: determining whether to grant a loan to the analysis object corresponding to the analysis request based on the remote sensing information analysis results.

[0014] Optionally, after the step of sending the remote sensing information analysis results to the remote sensing area server for the remote sensing area server to perform various processing on the remote sensing information analysis results, the method further includes: determining whether to grant a loan to the analysis object corresponding to the analysis request based on the remote sensing information analysis results.

[0015] To achieve the above objectives, this application provides a remote sensing information processing method applied to a remote sensing area server. The remote sensing information processing method includes: generating an analysis request, sending the analysis request to a local server, analyzing and processing the remote sensing information to be analyzed corresponding to the analysis request on the local server, and obtaining remote sensing information analysis results; wherein the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server; receiving the remote sensing information analysis results sent by the local server, and performing various processing steps on the remote sensing information analysis results.

[0016] This application also provides a remote sensing information processing device, comprising: an acquisition module for acquiring remote sensing information to be analyzed upon receiving an analysis request submitted by a remote sensing area server; an analysis module for analyzing and processing the remote sensing information to be analyzed locally to obtain remote sensing information analysis results; and a sending module for sending the remote sensing information analysis results to the remote sensing area server for the remote sensing area server to perform various processing on the remote sensing information analysis results.

[0017] This application also provides a remote sensing information processing device, comprising: a generation module, configured to generate an analysis request and send the analysis request to a local server, so that the remote sensing information to be analyzed corresponding to the analysis request is analyzed and processed on the local server to obtain a remote sensing information analysis result, wherein the remote sensing information to be analyzed does not include object identification information for identifying the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server; and a receiving module, configured to receive the remote sensing information analysis result sent by the local server and perform various processing on the remote sensing information analysis result.

[0018] This application also provides a remote sensing information processing device, which is a physical device. The remote sensing information processing device includes: a memory, a processor, and a program of the remote sensing information processing method stored in the memory and executable on the processor. When the program of the remote sensing information processing method is executed by the processor, it can implement the steps of the remote sensing information processing method as described above.

[0019] This application also provides a readable storage medium storing a program for implementing a remote sensing information processing method, wherein when the program for the remote sensing information processing method is executed by a processor, it implements the steps of the remote sensing information processing method as described above.

[0020] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the remote sensing information processing method described above.

[0021] Compared to existing technologies where each remote sensing regional server needs to build a remote sensing information analysis platform within its corresponding jurisdiction, resulting in high resource consumption and low efficiency, this application provides a remote sensing information processing method, apparatus, device, and storage medium. This application obtains remote sensing information to be analyzed upon receiving an analysis request submitted by a remote sensing regional server. The remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing regional server. The remote sensing information to be analyzed is then processed locally to obtain remote sensing information analysis results. These results are then sent to the remote sensing regional server for further processing. In this application, each remote sensing regional server does not need to build an analysis platform for the remote sensing information to be analyzed in its jurisdiction. Instead, the analysis and processing of the remote sensing information to be analyzed are all done by the local server to obtain the analysis results. That is, only one resource-intensive intelligent analysis platform needs to be built on the local server. Therefore, resources are saved and revenue is increased. Furthermore, since the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, the leakage of the privacy information of the object to be analyzed may be avoided due to the analysis of the remote sensing information on the local server. This solves the technical problem of high resource consumption and low revenue in analyzing remote sensing information locally in the jurisdiction of financial institutions. Attached Figure Description

[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating the first embodiment of the remote sensing information processing method of this application;

[0025] Figure 2 This is a detailed flowchart of step S20 in the first embodiment of the remote sensing information processing method of this application;

[0026] Figure 3 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of this application;

[0027] Figure 4 This is a schematic diagram of a scenario involved in the embodiments of this application.

[0028] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0029] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.

[0030] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0031] In the following description, the terms "first, second, third" are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of the invention described herein can be implemented in an order other than that illustrated or described herein.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0033] This application provides a remote sensing information processing method. In the first embodiment of the remote sensing information processing method of this application, refer to... Figure 1 The remote sensing information processing method, applied to a local server, includes:

[0034] Step S10: Upon receiving an analysis request submitted by the remote sensing area server, obtain the remote sensing information to be analyzed.

[0035] Step S20: Analyze and process the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results;

[0036] Step S30: Send the remote sensing information analysis results to the remote sensing area server so that the remote sensing area server can perform various processing on the remote sensing information analysis results.

[0037] The specific steps are as follows:

[0038] Step S10: Upon receiving an analysis request submitted by the remote sensing area server, obtain the remote sensing information to be analyzed.

[0039] Wherein, the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server side;

[0040] In this embodiment, it should be noted that the remote sensing information processing method is applied to a remote sensing information processing device, which is subordinate to a local server. The local server and the remote sensing area server can together constitute a remote sensing information processing equipment.

[0041] The local server can be a server with a remote sensing information intelligent analysis module, while the remote sensing area server can be a server without such a module. The local server and the remote sensing area server communicate with each other. The remote sensing area server can generate an analysis request (information analysis request), the local server receives this request, processes the information carried in it, and sends the processing result back to the remote sensing area server. Figure 4 As shown.

[0042] In this embodiment, the remote sensing information to be analyzed can be remote sensing information obtained through satellites. Of course, the remote sensing information to be analyzed can also be remote sensing information obtained from lidar, or remote sensing information that can be obtained through vehicle sensors, etc. There is no limitation on the acquisition method of remote sensing information.

[0043] In this embodiment, the remote sensing information to be analyzed can come from remote sensing images, remote sensing videos, or other remote sensing multimedia clips, etc., and there is no specific limitation.

[0044] In this embodiment, the remote sensing information to be analyzed sent to the local server can be a remote sensing image, or it can be preprocessed information obtained by preprocessing on the remote sensing area server.

[0045] After preprocessing the remote sensing images on the remote sensing regional server, the information obtained can be either remote sensing matrix information or remote sensing vector information. The preprocessing method can be one-hot encoding, etc.

[0046] That is, the remote sensing information to be analyzed includes remote sensing matrix information or remote sensing vector information.

[0047] In this embodiment, a specific application scenario may be: acquiring remote sensing images through satellites, performing target detection based on the remote sensing images, and then obtaining the number of targets to be detected, active time, or active area, etc., to obtain remote sensing information analysis results, and obtaining economic activity based on the remote sensing information analysis results;

[0048] Specifically, for example, vehicle detection is performed based on remote sensing images to obtain the number of vehicles in the area to be detected, the time when vehicles are active, or the areas where vehicles are active, etc., to obtain remote sensing information analysis results, and economic activity is obtained based on the remote sensing information analysis results.

[0049] Alternatively, for example, instrument detection can be performed based on remote sensing images to obtain the number of instruments in the area to be detected, the active time of the instruments, or the active area of ​​the instruments, etc., to obtain remote sensing information analysis results, and the production status can be obtained based on the remote sensing information analysis results.

[0050] In this embodiment, a specific application scenario can also be: acquiring remote sensing images via satellite, performing road network identification or land parcel segmentation based on the remote sensing images, and then obtaining the number of roads, road types, road activity levels, land parcel division methods, and building types in the area to be detected, thereby obtaining remote sensing information analysis results, and obtaining economic activity levels based on the remote sensing information analysis results.

[0051] Upon receiving an analysis request submitted by the remote sensing area server, the remote sensing information to be analyzed is obtained;

[0052] Specifically, upon receiving an analysis request submitted by the remote sensing area server, the type of the analysis request is determined, and then the remote sensing information to be analyzed is obtained.

[0053] It should be noted that the remote sensing area server can generate analysis requests in one of the following ways: Method 1: The user selects an analysis item on the service interface of the remote sensing area server, and then generates an analysis request.

[0054] In this embodiment, by selecting the analysis items, human intervention can be achieved in analyzing the remote sensing information to be analyzed;

[0055] Method 2: The user does not select any analysis items in the service interface of the remote sensing area server, and the analysis request is generated directly.

[0056] In this embodiment, the model already trained on the local server can be used to directly process the remote sensing information to be analyzed, thereby improving processing efficiency.

[0057] Upon receiving an analysis request from the remote sensing area server, the purpose of obtaining the remote sensing information to be analyzed could be:

[0058] This involves determining the level of economic activity, or the productivity of factories seeking loans from financial institutions. Furthermore, it determines whether loans are needed for the local area or for factories requiring loans.

[0059] Upon receiving an analysis request submitted by the remote sensing area server, the remote sensing information to be analyzed is obtained; wherein, the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server.

[0060] In this embodiment, the purpose of not including the object identification information of the corresponding object to be analyzed in the remote sensing information to be analyzed is to avoid leaking the privacy of the object to be analyzed on the local server. Specifically, for example, it does not include the factory identification information of the loan factory, or it does not include the name information of the area, etc. That is, in this embodiment, only non-identified object information is analyzed, and object information identification is not performed.

[0061] The specific information about the object includes its name, ID, area code, or national identity card number.

[0062] In order to distinguish between object identification information and non-object identification information of the object to be analyzed, in this embodiment, it is necessary to preprocess the remote sensing images on the remote sensing area server. The purpose of the preprocessing is to distinguish between the object and the non-identified object, and then send the non-object identification information in the remote sensing information to be analyzed to the local server.

[0063] The preprocessing method can be: performing one-hot encoding of the full image features of the remote sensing image, and obtaining the object embedding vector or object embedding matrix of the object to be analyzed based on the one-hot encoding of the full image features. In this embodiment, specifically, the one-hot encoding of the local object to be analyzed, such as the name and region code, is determined, and the local object to be analyzed features are extracted based on the one-hot encoding of the object to be analyzed, such as the name and region code, to obtain the object embedding vector or object embedding matrix.

[0064] In this embodiment, the preprocessing method can also be: only one-hot encoding is performed on the object information in the remote sensing image to obtain the object embedding vector or object embedding matrix of the object to be analyzed, so as to reduce the amount of data processing on the remote sensing area server (non-object information does not need one-hot encoding).

[0065] It should be noted that, in order to reduce the amount of computation required for encoding or to reduce the amount of data transmitted, in this embodiment, one-hot encoding can be performed only based on the ID feature or unique identifier feature of the local object to be analyzed.

[0066] In this embodiment, the object identification information of the object to be analyzed is not sent to the local server, which also avoids the leakage of the privacy of the object to be analyzed.

[0067] Step S20: Analyze and process the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results;

[0068] The remote sensing information to be analyzed is processed locally to obtain the remote sensing information analysis results. Specifically, the remote sensing information to be analyzed is processed through the intelligent analysis module on the local server to obtain the remote sensing information analysis results.

[0069] Specifically, the analysis and processing of the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results can be as follows:

[0070] The target detection and analysis process is performed on the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results.

[0071] The remote sensing information to be analyzed is processed locally to perform road network identification and analysis, and the remote sensing information analysis results are obtained.

[0072] The remote sensing information to be analyzed is processed locally by plot segmentation analysis to obtain the remote sensing information analysis results.

[0073] In order to perform various analyses and processing on the remote sensing information to be analyzed, various models such as target detection model, road network recognition model, and land parcel segmentation model are set on the local server. These target detection model, road network recognition model, and land parcel segmentation model are models that can accurately perform corresponding data processing after being trained with their respective training data.

[0074] The step of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results includes:

[0075] Step S21: Determine whether to perform partitioning processing on the remote sensing information to be analyzed based on the attributes of the remote sensing region to which the remote sensing information to be analyzed belongs;

[0076] In this embodiment, during the analysis and processing of the remote sensing information to be analyzed, the attributes of the remote sensing region to which the remote sensing information to be analyzed belongs are obtained. These attributes include the region type, the region identifier, and the number of regions. It is then determined whether the remote sensing information to be analyzed should be partitioned. Specifically, if there are regions with different types, different identifiers, or a number greater than 1, then the remote sensing information to be analyzed is partitioned.

[0077] If there is only one region, the area of ​​that region is determined. If the area is larger than the preset area, the remote sensing information to be analyzed is partitioned.

[0078] If there is only one region, the processing difficulty of that region is determined. If the processing difficulty is greater than the preset difficulty, the remote sensing information to be analyzed is divided into regions. The processing difficulty is determined based on the amount of feature information in each region.

[0079] Step S22: If it is determined that the remote sensing information to be analyzed is to be partitioned, the remote sensing information to be analyzed in each partition is processed simultaneously to obtain the analysis results of each partition.

[0080] If it is determined that the remote sensing information to be analyzed is to be partitioned, the remote sensing information to be analyzed in each partition is processed simultaneously to obtain the analysis results for each partition. Here, processing the remote sensing information to be analyzed in each partition simultaneously can mean:

[0081] A multi-threaded approach is used to analyze each individual region simultaneously, yielding analysis results for each partition.

[0082] During the analysis of a single region, remote sensing information for some areas may not exist in the preset resource library, which can be manually downloaded and intervened.

[0083] Step S23: Aggregate the partition analysis results to obtain the remote sensing information analysis results.

[0084] After obtaining the partition analysis results, the partition analysis results are aggregated to obtain the remote sensing information analysis results.

[0085] The aggregation methods can include: combination, taking the average, or taking the maximum value, etc.

[0086] Reference Figure 2 The step of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis result includes:

[0087] Step S24: Determine the computing power resources of each local analysis queue, sort the computing power resources, and obtain the sorting results;

[0088] In this embodiment, since the local server needs to process data resources corresponding to each remote sensing area, after obtaining the remote sensing information to be analyzed, it is necessary to determine the computing power resources of each local analysis queue and sort the computing power resources to obtain a sorting result. Specifically, for newly received analysis requests, the analysis queue with the most computing power resources can be allocated.

[0089] Step S25: Based on the sorting results and the type of remote sensing information to be analyzed, determine the target analysis queue, and analyze and process the remote sensing information to be analyzed based on the target analysis queue to obtain the remote sensing information analysis results.

[0090] Based on the sorting results and the type of remote sensing information to be analyzed, a target analysis queue is determined. That is, in this embodiment, different types of analysis queues process different types of remote sensing information to be analyzed. Then, based on the sorting results and the type of remote sensing information to be analyzed, a target analysis queue is determined, and the remote sensing information to be analyzed is processed based on the target analysis queue to obtain the remote sensing information analysis results.

[0091] During the process of analyzing remote sensing information in the analysis queue, manual intervention can be performed.

[0092] Step S30: Send the remote sensing information analysis results to the remote sensing area server so that the remote sensing area server can perform various processing on the remote sensing information analysis results.

[0093] The remote sensing information analysis results are sent to the remote sensing area server so that the remote sensing area server can perform various processing on the remote sensing information analysis results.

[0094] The processing steps can include: saving remote sensing information analysis results, displaying remote sensing information analysis results, or querying remote sensing information analysis results, etc. The specific type of processing is not limited.

[0095] The step of sending the remote sensing information analysis results to the remote sensing area server for the remote sensing area server to perform various processing on the remote sensing information analysis results further includes:

[0096] Step S31: Based on the remote sensing information to be analyzed, generate an ID number for the remote sensing information analysis result, and map and save the ID number and the remote sensing information analysis result;

[0097] In this embodiment, after obtaining the remote sensing information to be analyzed, an ID number of the remote sensing information analysis result is generated based on the remote sensing information to be analyzed, and the ID number and the remote sensing information analysis result are mapped and saved.

[0098] In this embodiment, the ID number of the remote sensing information analysis result is stored bidirectionally on both the local server and the remote sensing area server to ensure the high availability of the remote sensing analysis service.

[0099] Step S32: Send the remote sensing information analysis results to the remote sensing area server so that the remote sensing area server can map and save the remote sensing information analysis results and the ID number.

[0100] Specifically, when the remote sensing regional server requests analysis from the local server, the local server generates a unique request ID using the MD5 value of the remote sensing information to be analyzed, or generates a unique request ID using the MD5 value of the remote sensing information to be analyzed plus the current timestamp, and returns it to the remote sensing regional server. Both the remote sensing regional server and the local server store the remote sensing information to be analyzed and the ID. Because it is a bidirectional storage method, the remote sensing regional server can query whether the local service already has analysis results using the request ID. After obtaining the analysis results, the local server can also push the results to the remote sensing regional server using the ID, thereby ensuring the real-time availability and high availability of remote sensing information analysis results for users.

[0101] After the step of sending the remote sensing information analysis results to the remote sensing area server for the remote sensing area server to perform various processing on the remote sensing information analysis results, the method further includes:

[0102] Based on the analysis results of the remote sensing information, it is determined whether to grant a loan to the object to be analyzed corresponding to the analysis request.

[0103] In this embodiment, it can also be determined whether to grant a loan to the object to be analyzed corresponding to the analysis request based on the remote sensing information analysis results. Specifically, if the remote sensing information analysis results indicate that the production status is a preset good status, it can be determined whether to grant a loan to the object to be analyzed corresponding to the analysis request.

[0104] Compared to existing technologies where each remote sensing regional server needs to build a remote sensing information analysis platform within its corresponding jurisdiction, resulting in high resource consumption and low efficiency, this application provides a remote sensing information processing method, apparatus, device, and storage medium. This application obtains remote sensing information to be analyzed upon receiving an analysis request submitted by a remote sensing regional server. The remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing regional server. The remote sensing information to be analyzed is then processed locally to obtain remote sensing information analysis results. These results are then sent to the remote sensing regional server for further processing. In this application, each remote sensing regional server does not need to build an analysis platform for the remote sensing information to be analyzed in its jurisdiction. Instead, the analysis and processing of the remote sensing information to be analyzed are all done by the local server to obtain the analysis results. That is, only one resource-intensive intelligent analysis platform needs to be built on the local server. Therefore, resources are saved and revenue is increased. Furthermore, since the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, the leakage of the privacy information of the object to be analyzed may be avoided due to the analysis of the remote sensing information on the local server. This solves the technical problem of high resource consumption and low revenue in analyzing remote sensing information locally in the jurisdiction of financial institutions.

[0105] Furthermore, based on the first embodiment of this application, in another embodiment of this application, the remote sensing information to be analyzed includes satellite image information to be analyzed;

[0106] The step of obtaining the remote sensing information to be analyzed upon receiving an analysis request submitted by the remote sensing area server further includes:

[0107] Step A1: Upon receiving an analysis request submitted by the remote sensing area server, obtain satellite image information to be analyzed, including the specified analysis strategy;

[0108] The specified analysis strategy includes a specified analysis model and a specified analysis method.

[0109] In this embodiment, the analysis request carries a specified analysis strategy, which may include a specified analysis method, such as regression analysis, convolutional analysis, or other analysis methods. The specified analysis strategy may also include a specified analysis model, such as an analysis model based on random forest or an analysis model based on federated learning.

[0110] In this embodiment, analysis factors or analysis items can be determined on the remote sensing area server side, so that the demand side, i.e., the remote sensing area server side, can put forward analysis requirements, thereby improving the applicability of remote sensing information processing.

[0111] In this embodiment, upon receiving an analysis request submitted by the remote sensing regional server, satellite image information to be analyzed, including a specified analysis strategy, is acquired; wherein the specified analysis strategy includes a specified analysis model and a specified analysis method. This embodiment improves the applicability of remote sensing information analysis and processing.

[0112] Furthermore, based on the first embodiment of this application, in another embodiment of this application, the step of obtaining the remote sensing information to be analyzed upon receiving an analysis request submitted by the remote sensing area server includes:

[0113] Step B1: Upon receiving an analysis request submitted by the remote sensing area server, obtain the remote sensing information to be analyzed.

[0114] The remote sensing area server generates the analysis request based on the area association information selected by the user on the corresponding service interface of the remote sensing area server.

[0115] In this embodiment, in order to improve performance, a service interface is also set on the remote sensing area server. On this service interface, there are also options, such as analysis method options, analysis model options, analysis time options, etc., which are not specifically limited here.

[0116] In this embodiment, to improve convenience, a corresponding client is also set up on the remote sensing regional server. When the client receives an analysis request submitted by the remote sensing regional server, it obtains the remote sensing information to be analyzed. The remote sensing regional server generates the analysis request based on the regional association information circled by the user on the interface of the corresponding client on the remote sensing regional server.

[0117] The step of obtaining the remote sensing information to be analyzed upon receiving an analysis request submitted by the remote sensing area server further includes:

[0118] Step C1: Upon receiving an analysis request submitted by the remote sensing area server, obtain the remote sensing information to be analyzed;

[0119] The remote sensing information to be analyzed includes the production status of the remote sensing area under its jurisdiction.

[0120] In this embodiment, the remote sensing information to be analyzed includes the production status of the remote sensing area under its jurisdiction. This production status can be determined by factors such as the number of machines in operation, the energy consumption of the machines, and the usage time of the machines.

[0121] In this embodiment, the remote sensing information to be analyzed is obtained when an analysis request is received from the remote sensing regional server. The remote sensing regional server generates the analysis request based on the region association information selected by the user on the corresponding service interface of the remote sensing regional server. In this embodiment, the remote sensing regional server can participate in intelligent analysis, thus improving applicability.

[0122] Furthermore, based on the first embodiment of this application, in another embodiment of this application, applied to a remote sensing area server, the remote sensing information processing method includes:

[0123] Step S01 involves analyzing and processing the remote sensing information to be analyzed corresponding to the analysis request on the local server to obtain the remote sensing information analysis result. The remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server.

[0124] In this embodiment, the remote sensing area server first generates an analysis request and sends the analysis request to the local server so that the remote sensing information to be analyzed corresponding to the analysis request can be analyzed and processed on the local server to obtain the remote sensing information analysis result. The remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server.

[0125] The process of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results can refer to step S20 in the first embodiment above.

[0126] Step S02: Receive the remote sensing information analysis results sent by the local server and perform various processing steps on the remote sensing information analysis results.

[0127] The process of receiving the remote sensing information analysis results sent by the local server and performing various processing on the remote sensing information analysis results can refer to step S30 in the first embodiment above.

[0128] This application provides a remote sensing information processing method, apparatus, device, and storage medium. The method involves generating an analysis request and sending it to a local server. The local server then analyzes the remote sensing information corresponding to the analysis request to obtain analysis results. The method also involves receiving the analysis results from the local server and performing various processing steps on them. Because each remote sensing regional server does not need to build an analysis platform for the remote sensing information to be analyzed within its jurisdiction, but instead analyzes and processes the remote sensing information locally to obtain the analysis results, the resource-intensive intelligent analysis platform only needs to be built once on the local server. This saves resources, increases revenue, and solves the technical problem of high resource consumption and low returns when analyzing remote sensing information locally within the jurisdiction of financial institutions.

[0129] Reference Figure 3 , Figure 3 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of this application.

[0130] like Figure 3 As shown, the remote sensing information processing device may include: a processor 1001, such as a CPU, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to establish communication between the processor 1001 and the memory 1005. The memory 1005 may be a high-speed RAM or a stable, non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0131] Optionally, the remote sensing information processing device may also include a rectangular user interface, a network interface, a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, a WiFi module, etc. The rectangular user interface may include a display screen and an input submodule such as a keyboard. Optionally, the rectangular user interface may also include a standard wired interface or a wireless interface. The network interface may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0132] Those skilled in the art will understand that Figure 3 The structure of the remote sensing information processing equipment shown does not constitute a limitation on the remote sensing information processing equipment. It may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0133] like Figure 3As shown, the memory 1005, as a computer storage medium, may include an operating system, a network communication module, and a remote sensing information processing method program. The operating system is a program that manages and controls the hardware and software resources of the remote sensing information processing equipment, supporting the operation of the remote sensing information processing method program and other software and / or programs. The network communication module is used to enable communication between the various components within the memory 1005, as well as communication with other hardware and software in the remote sensing information processing method system.

[0134] exist Figure 3 In the remote sensing information processing device shown, the processor 1001 is used to execute the remote sensing information processing method program stored in the memory 1005 to implement the steps of the remote sensing information processing method described in any of the above claims.

[0135] The specific implementation of the remote sensing information processing device in this application is basically the same as the embodiments of the remote sensing information processing method described above, and will not be repeated here.

[0136] This application also provides a remote sensing information processing device applied to a local server. The remote sensing information processing device includes: an acquisition module, used to acquire remote sensing information to be analyzed when receiving an analysis request submitted by a remote sensing area server, wherein the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server; an analysis module, used to analyze and process the remote sensing information to be analyzed locally to obtain remote sensing information analysis results; and a sending module, used to send the remote sensing information analysis results to the remote sensing area server so that the remote sensing area server can perform various processing on the remote sensing information analysis results.

[0137] Optionally, the analysis module includes: a first determining unit, configured to determine the computing resources of each local analysis queue and sort the computing resources to obtain a sorting result; a second determining unit, configured to determine the target analysis queue based on the sorting result and the type of the remote sensing information to be analyzed; and a third determining unit, configured to determine the target analysis queue and analyze and process the remote sensing information to be analyzed based on the target analysis queue to obtain the remote sensing information analysis result.

[0138] Optionally, the remote sensing information to be analyzed includes satellite image information to be analyzed; the acquisition module further includes: a first acquisition unit, which is further configured to acquire satellite image information to be analyzed including a specified analysis strategy when receiving an analysis request submitted by the remote sensing area server; wherein, the specified analysis strategy includes a specified analysis model and a specified analysis method.

[0139] Optionally, the analysis module further includes: a fourth determining unit, configured to determine whether to partition the remote sensing information to be analyzed based on the attributes of the remote sensing region to which the remote sensing information to be analyzed belongs; a processing unit, configured to process the remote sensing information to be analyzed in each partition simultaneously if it is determined that the remote sensing information to be analyzed should be partitioned, to obtain the analysis results of each partition; and an aggregation unit, configured to aggregate the partition analysis results to obtain the remote sensing information analysis results.

[0140] Optionally, the acquisition module further includes: a second acquisition unit, used to acquire remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing area server; wherein the remote sensing area server generates the analysis request based on the area association information circled by the user on the corresponding service interface of the remote sensing area server.

[0141] Optionally, the sending module further includes: a generation unit, configured to generate an ID number of the remote sensing information analysis result based on the remote sensing information to be analyzed, and to map and save the ID number and the remote sensing information analysis result; and a sending unit, configured to send the remote sensing information analysis result to the remote sensing area server, so that the remote sensing area server can map and save the remote sensing information analysis result and the ID number.

[0142] Optionally, the acquisition module further includes: a third acquisition unit, used to acquire remote sensing information to be analyzed when receiving an analysis request submitted by the remote sensing area server; wherein the remote sensing information to be analyzed includes the production status of the remote sensing area under its jurisdiction.

[0143] Optionally, the device further includes a determining module, configured to determine whether to grant a loan to the object to be analyzed corresponding to the analysis request based on the analysis results of the remote sensing information.

[0144] To achieve the above objectives, this application provides a remote sensing information processing device applied to a remote sensing area server. The remote sensing information processing device includes: a generation module, used to generate an analysis request and send the analysis request to a local server, so that the remote sensing information to be analyzed corresponding to the analysis request is analyzed and processed on the local server to obtain a remote sensing information analysis result, wherein the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server; and a receiving module, used to receive the remote sensing information analysis result sent by the local server and perform various processing on the remote sensing information analysis result.

[0145] The specific implementation of the remote sensing information processing device in this application is basically the same as the embodiments of the remote sensing information processing method described above, and will not be repeated here.

[0146] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the remote sensing information processing method described above.

[0147] The specific implementation of the computer program product of this application is basically the same as the embodiments of the remote sensing information processing method described above, and will not be repeated here.

[0148] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent scope of this application.

Claims

1. A remote sensing information processing method, characterized in that, The remote sensing information processing method, applied to a local server, includes: Upon receiving an analysis request submitted by the remote sensing region server, the remote sensing information to be analyzed is obtained. The remote sensing information to be analyzed includes satellite image information to be analyzed. The satellite image information to be analyzed includes a specified analysis strategy. The specified analysis strategy includes a specified analysis model and a specified analysis method. The specified analysis method includes regression analysis and convolutional analysis. The specified analysis model includes an analysis model based on random forest and an analysis model based on federated learning. Wherein, the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server side; The remote sensing information to be analyzed is processed locally to obtain the remote sensing information analysis results; Based on the remote sensing information to be analyzed, an ID number for the remote sensing information analysis result is generated, and the ID number and the remote sensing information analysis result are mapped and saved. The remote sensing information analysis results are sent to the remote sensing area server so that the remote sensing area server can map and save the remote sensing information analysis results and the ID number. The remote sensing area server generates the analysis request based on the area association information selected by the user on the corresponding service interface of the remote sensing area server.

2. The remote sensing information processing method as described in claim 1, characterized in that, The step of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results includes: Determine the computing resources of each local analysis queue, sort the computing resources, and obtain the sorting results; Based on the sorting results and the type of remote sensing information to be analyzed, a target analysis queue is determined, and the remote sensing information to be analyzed is processed based on the target analysis queue to obtain the remote sensing information analysis results.

3. The remote sensing information processing method as described in claim 1, characterized in that, The step of analyzing and processing the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results includes: Based on the attributes of the remote sensing region to which the remote sensing information to be analyzed belongs, determine whether to perform partitioning processing on the remote sensing information to be analyzed; If it is determined that the remote sensing information to be analyzed is to be partitioned, the remote sensing information to be analyzed in each partition is processed simultaneously to obtain the analysis results of each partition. The results of the zoning analysis are aggregated to obtain the remote sensing information analysis results.

4. The remote sensing information processing method according to any one of claims 1-3, characterized in that, The remote sensing information to be analyzed includes the production status of the remote sensing area under its jurisdiction.

5. The remote sensing information processing method as described in claim 1, characterized in that, After the step of sending the remote sensing information analysis results to the remote sensing area server, the method further includes: Based on the analysis results of the remote sensing information, it is determined whether to grant a loan to the object to be analyzed corresponding to the analysis request.

6. A remote sensing information processing device, characterized in that, The remote sensing information processing device, applied to a local server, includes: The acquisition module is used to acquire remote sensing information to be analyzed when it receives an analysis request submitted by the remote sensing area server. The remote sensing information to be analyzed includes satellite image information to be analyzed, the satellite image information to be analyzed includes a specified analysis strategy, and the specified analysis strategy includes a specified analysis model and a specified analysis method. Wherein, the remote sensing information to be analyzed does not include object identification information used to identify the object to be analyzed corresponding to the analysis request, and the object identification information is processed on the remote sensing area server side; The analysis module is used to analyze and process the remote sensing information to be analyzed locally to obtain the remote sensing information analysis results; The sending module includes: The generation unit is used to generate an ID number of the remote sensing information analysis result based on the remote sensing information to be analyzed, and to map and save the ID number and the remote sensing information analysis result. The sending unit is used to send the remote sensing information analysis results to the remote sensing area server, so that the remote sensing area server can map and save the remote sensing information analysis results and the ID number. The remote sensing area server generates the analysis request based on the area association information selected by the user on the corresponding service interface of the remote sensing area server.

7. A remote sensing information processing device, characterized in that, The remote sensing information processing device includes: a memory, a processor, and a program stored in the memory for implementing the remote sensing information processing method. The memory is used to store programs that implement remote sensing information processing methods; The processor is configured to execute a program that implements the remote sensing information processing method, thereby implementing the steps of the remote sensing information processing method as described in any one of claims 1 to 5.

8. A readable storage medium, characterized in that, The readable storage medium stores a program for implementing a remote sensing information processing method, which is executed by a processor to implement the steps of the remote sensing information processing method as described in any one of claims 1 to 5.

9. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the method described in any one of claims 1 to 5.

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