Fault evaluation method based on remote sensing data fusion

Abstract

The invention relates to a strategic evaluation method based on remote sensing data fusion. The method comprises the following steps: acquiring ground state characteristics based on satellite remote sensing; positioning and route selection based on radar remote sensing; acquiring route data of the target region moving from one point to another point based on the ground state features; simulating a terrain route and completing the analysis of a plurality of motion routes; and optimizing route selection and coping strategies. The method and the device are used for solving the problem that the quantity and the accuracy of the obtained initial data are influenced by owners and authority conditions of a plurality of channels for obtaining the data, so that the accuracy and the efficiency of earth observation are influenced.

Description

Technical Field

[0001] The invention relates to the technical field of remote sensing data fusion, and in particular to a strategic evaluation method based on remote sensing data fusion. Background Art

[0002] The existing technology is that "multimodal remote sensing data interpretation methods are only applicable to fixed combinations of remote sensing modal data, and cannot achieve adaptive extended interpretation of arbitrary modal combinations. Moreover, the use of existing multimodal remote sensing data interpretation methods requires multiple calls to achieve interpretation of data with different modal combinations. The system processing efficiency is low and it is difficult to meet the timeliness requirements of modern remote sensing systems."

[0003] The technical solution it adopts is "through the fusion processing of multimodal remote sensing data, remote sensing data of any modal combination can be used to generate fused remote sensing data with richer and more accurate representation of ground object information. Since fused remote sensing data integrates feature information of multiple modalities, its semantic features have a high generalization. Furthermore, the function of interpreting data of different modal combinations can be realized without multiple calls, so that the fused remote sensing data can be adapted to more remote sensing interpretation tasks, which also correspondingly improves the efficiency of earth observation."

[0004] However, the above solution still has the following disadvantages:

[0005] (1) This technology obtains multiple initial data of the target area and uses a dedicated network to correct it to obtain accurate remote sensing data. In actual application, obtaining multiple initial data of the target area requires multiple data channels, which is easy to be tampered with due to channel data, affecting data correction and not conducive to obtaining accurate initial data;

[0006] (2) This technology obtains shared data from a shared channel, which generally has ownership permissions. In strategic deployment, each ownership permission may easily belong to a different camp. Therefore, when using a shared channel to obtain multiple initial data, it is easy to affect the amount of data that can be obtained, and ultimately affect the accuracy and efficiency of earth observation. Summary of the invention

[0007] In view of the above technical problems, the present invention proposes a strategic assessment method based on remote sensing data fusion, which is used to solve the problem that the ownership and authority of multiple channels for acquiring data affect the quantity and accuracy of the initial data acquired, thereby affecting the accuracy and efficiency of earth observation.

[0008] The technical solution to the technical problem of the present invention is: a strategic assessment method based on remote sensing data fusion, comprising the following steps:

[0009] Step S1, obtaining ground state characteristics based on satellite remote sensing;

[0010] Step S2: Positioning and route selection based on radar remote sensing;

[0011] Step S3, obtaining route data of movement from one point to another point in the target area based on the ground state characteristics;

[0012] Step S4, simulating terrain routes and completing analysis of multiple movement routes;

[0013] Step S5: Optimize route selection and response strategy.

[0014] According to a technical solution of the present invention, in step S1, it specifically includes:

[0015] Step S11, using a ground-borne radar to perform radar remote sensing to define its own position;

[0016] Step S12: Compare the radar positioning data with the satellite optical remote sensing data to verify the accuracy of the satellite remote sensing positioning and ensure the accuracy of the acquired target area terrain data.

[0017] According to a technical solution of the present invention, the ground state characteristics at least include altitude, surface color, and soil density.

[0018] According to a technical solution of the present invention, the step S2 specifically includes:

[0019] Step S21, analyzing the terrain characteristics of the target area through verified satellite remote sensing data;

[0020] Step S22: Use radar remote sensing to determine the starting point of the route to support big data simulation analysis of multiple possible routes and evaluate the expected time and advantages of each route.

[0021] According to a technical solution of the present invention, in step S3, after the route data is acquired, the route data is reorganized and normalized.

[0022] According to a technical solution of the present invention, in step S4, the route data in step S3 is evaluated, including time consumption, terrain characteristics and strategic advantages.

[0023] According to a technical solution of the present invention, the step S5 specifically includes:

[0024] Step S51, cross-classifying the routes in pairs based on the characteristics of the cross-route, and evaluating the characteristics and advantages of the cross-route in detail;

[0025] Step S52: Select the route plan with the best advantage in the strategic planning, and determine the best response strategy when the route is blocked to achieve effective strategic evolution.

[0026] According to the concept of the present invention, a strategic assessment method based on remote sensing data fusion is proposed. The method is based on the cooperation of radar remote sensing and satellite remote sensing. Compared with the traditional method of obtaining multiple initial data from multiple shared channels, it is confirmed that the channel for obtaining data is in a normal state to ensure the accuracy of the terrain data of the target area obtained by satellite remote sensing; the terrain features of the target area after being disproven by satellite remote sensing are used, and the initial point of the route is determined according to radar remote sensing positioning. Based on big data, multiple routes are simulated to obtain the optimal strategic route and the optimal response route after being blocked on each route.

[0027] The present invention is used to solve the problem that the ownership and authority of multiple channels for acquiring data affect the quantity and accuracy of the initial data acquired, thereby affecting the accuracy and efficiency of earth observation. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A schematic diagram schematically shows a flow chart of a strategic assessment method based on remote sensing data fusion according to an embodiment of the present invention;

[0029] Figure 2 The flowchart schematically shows a strategic assessment method based on remote sensing data fusion according to another embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments cannot be described one by one here, but the embodiments of the present invention are not therefore limited to the following embodiments.

[0032] like Figure 1 and Figure 2 As shown, a strategic assessment method based on remote sensing data fusion of the present invention comprises the following steps:

[0033] Step S1: Acquire ground state characteristics based on satellite remote sensing, wherein the ground state characteristics at least include altitude, surface color, and soil density, specifically including:

[0034] Step S11, using a ground-borne radar to perform radar remote sensing to define its own position;

[0035] Step S12: Compare the radar positioning data with the satellite optical remote sensing data to verify the accuracy of the satellite remote sensing positioning and ensure the accuracy of the acquired target area terrain data.

[0036] Step S2, positioning and route selection based on radar remote sensing, specifically includes:

[0037] Step S21, analyzing the terrain characteristics of the target area through verified satellite remote sensing data;

[0038] Step S22: Use radar remote sensing to determine the starting point of the route to support big data simulation analysis of multiple possible routes and evaluate the expected time and advantages of each route.

[0039] Step S3, based on the ground state characteristics, obtaining route data of the target area moving from one point to another point, and after obtaining the route data, reorganizing and normalizing the route data;

[0040] Step S4, simulating terrain routes and completing analysis of multiple movement routes, evaluating the route data in step S3, including time consumption, terrain characteristics and strategic advantages;

[0041] Step S5: optimizing route selection and response strategies, specifically including:

[0042] Step S51, cross-classifying the routes in pairs based on the characteristics of the cross-route, and evaluating the characteristics and advantages of the cross-route in detail;

[0043] Step S52: Select the route plan with the best advantage in the strategic planning, and determine the best response strategy when the route is blocked to achieve effective strategic evolution.

[0044] The invention discloses a strategic assessment method based on remote sensing data fusion, which is used to solve the problem that the ownership and authority of multiple channels for acquiring data affect the quantity and accuracy of the acquired initial data, thereby affecting the accuracy and efficiency of earth observation.

[0045] The present invention, before the ground-borne radar (radar remote sensing), defines its own position and compares it with satellite remote sensing positioning, disproves the accuracy of satellite positioning remote sensing (optical remote sensing), and obtains the ground terrain based on satellite remote sensing;

[0046] Then, through big data statistics, we can collect all the routes from one point to another in the target area, evaluate the time consumption and advantages of each route, and cross-classify each route into two to evaluate the characteristics and advantages of the two intersecting routes. This will help us select the best route plan during the strategic evolution process, and make the best response when the route activity is strategically blocked.

[0047] The advantages of the present invention are: (1) based on the cooperation of radar remote sensing and satellite remote sensing, compared with the traditional method of obtaining multiple initial data from multiple shared channels, it is confirmed that the channel for obtaining data is in a normal state to ensure the accuracy of the data of the target area terrain obtained by satellite remote sensing; (2) based on the terrain characteristics of the satellite remote sensing target area after being disproven, and according to the radar remote sensing positioning, the initial point of the route is determined, and multiple routes are simulated based on big data to obtain the optimal strategic route and the optimal response route after being blocked on each route.

[0048] Based on ground radar positioning: According to the optimal linear filtering theory, the pulse train signal needs to be matched. The pulse train signal matching filter function is:

[0049]

[0050] Where S(f) is the frequency spectrum of the moving target echo, H 2 (f) is the frequency response of the signal matched filter.

[0051] With the help of N output transversal filters (N pulses and N-1 delay lines), after different weightings of each pulse and summing, multiple adjacent filter banks (frequency coverage range 0~f r , f r is the radar working repetition frequency). The transverse filter has N-1 delay lines, and the delay time of each delay line is The weighted value added to the N output terminals is

[0052]

[0053] N-point efficient operation can be expressed as:

[0054]

[0055] X(0),X(1),.....X(N-1) are equivalent to N FIR filter outputs. The frequency response of the FIR filter is:

[0056]

[0057] n is the filter number. Each filter has the same shape but different center frequencies, located at π(f / f r +n / N0,±π,±2π..., the peak of filter No. 0 is at f / f r =0,±1,±2..., the peak value of the nth filter is located at Department;

[0058] Based on satellite remote sensing of the target area terrain: Through big data statistics of the various routes of movement from one point to another in the target area, and evaluate the time consumption and advantages of each route, and based on the cross-classification of each route, the characteristics and advantages of the two intersecting routes are evaluated, which is conducive to selecting the best route plan during the strategic evolution process, and making the best response when the route activity is strategically blocked.

[0059] According to one aspect of the present invention, there is provided an electronic device, comprising: one or more processors, one or more memories, and one or more computer programs; wherein the processor is connected to the memory, and the one or more computer programs are stored in the memory, and when the electronic device is running, the processor executes the one or more computer programs stored in the memory, so that the electronic device executes the strategic assessment method based on remote sensing data fusion as described in any one of the above technical solutions.

[0060] According to one aspect of the present invention, a computer-readable storage medium is provided for storing computer instructions. When the computer instructions are executed by a processor, a strategic assessment method based on remote sensing data fusion as described in any one of the above technical solutions is implemented.

[0061] In addition, it should be noted that the present invention can be provided as a method, an apparatus or a computer program product. Therefore, the embodiments of the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0062] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0063] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0064] It should also be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0065] Finally, it should be noted that the above is a preferred embodiment of the present invention. It should be pointed out that although the preferred embodiment of the present invention has been described, for those skilled in the art, once the basic creative concept of the present invention is known, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention. Therefore, the attached claims are intended to be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the embodiments of the present invention.

Claims

1. A strategic assessment method based on remote sensing data fusion, characterized in that: The following steps are involved: Step S1, obtaining ground state characteristics based on satellite remote sensing; Step S2: positioning and route selection based on radar remote sensing; Step S3, obtaining route data of movement from one point to another point in the target area based on the ground state characteristics; Step S4, simulating terrain routes and completing analysis of multiple movement routes; Step S5: Optimize route selection and response strategy.

2. The method according to claim 1, characterized in that In the step S1, it specifically includes: Step S11, using a ground-borne radar to perform radar remote sensing to define its own position; Step S12: Compare the radar positioning data with the satellite optical remote sensing data to verify the accuracy of the satellite remote sensing positioning and ensure the accuracy of the acquired target area terrain data.

3. The method according to claim 2, characterized in that The ground state characteristics at least include altitude, surface color, and soil density.

4. The method according to claim 2, characterized in that: The step S2 specifically includes: Step S21, analyzing the terrain characteristics of the target area through verified satellite remote sensing data; Step S22: Use radar remote sensing to determine the starting point of the route to support big data simulation analysis of multiple possible routes and evaluate the expected time and advantages of each route.

5. The method according to claim 1, characterized in that In step S3, after the route data is acquired, the route data is reorganized and normalized.

6. The method according to claim 1, characterized in that In step S4, the route data in step S3 is evaluated, including time consumption, terrain characteristics and strategic advantages.

7. The method according to claim 1, characterized in that The step S5 specifically includes: Step S51, cross-classifying the routes in pairs based on the characteristics of the cross-route, and evaluating the characteristics and advantages of the cross-route in detail; Step S52: Select the route plan with the best advantage in the strategic planning, and determine the best response strategy when the route is blocked to achieve effective strategic evolution.

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