A method for evaluating information flux of variable-resolution dynamic scanning optical remote sensing imaging

Abstract

The application provides a variable-resolution dynamic scanning optical remote sensing imaging information flux evaluation method, and belongs to the technical field of space remote sensing. Firstly, for the variable-resolution dynamic scanning remote sensing system to be evaluated, a strict geometric projection relationship between an optical remote sensing camera visual axis and a spatial resolution is established, and a ground pixel resolution model is established; a spatial sampling density function is defined, integral operation is performed on the spatial sampling density function in a full-width range, and total effective pixel quantity in the full-width range is obtained; an equivalent information flux model is constructed to realize equivalent comparison of different systems; finally, an information flux envelope diagram is visualized for intuitive evaluation; through construction of the spatial sampling density integral model and the information quantity factor, accurate measurement and evaluation of the equivalent information quantity of the full-width system are realized, and meanwhile, a quantitative comparison index of equivalent information of the variable-resolution dynamic scanning system and the traditional constant-resolution push-broom system is provided.

Description

Technical Field

[0001] This invention belongs to the field of aerospace remote sensing technology, specifically, it relates to a method for evaluating the information throughput of variable resolution dynamic scanning optical remote sensing imaging. Background Technology

[0002] High-resolution imagery acquired by remote sensing satellites is of significant value in fields such as geographic mapping, disaster response, and national defense monitoring. As the demands for wide-area coverage and high resolution in remote sensing imaging missions continue to increase, optical remote sensing imaging systems are evolving from the traditional constant-resolution pushbroom mode to a variable-resolution dynamic scanning mode. Among these, vertical-orbit rotating scanning utilizes a high-frequency rotating turntable mechanism to drive the remote sensing camera to perform large-angle scans along the vertical track, enabling ultra-wide coverage of thousands of kilometers in a single scan, offering significant observational advantages compared to traditional remote sensing satellites.

[0003] However, unlike traditional pushbroom imaging, vertical-orbit rotating scanning inherently exhibits variable resolution characteristics. Influenced by variations in Earth's curvature and slant range, the spatial resolution of the image decreases non-linearly with increasing scanning angle. The spatial resolution is highest at the nadir point, while it significantly decreases and suffers severe geometric distortion at the field of view edges.

[0004] Existing technologies typically evaluate the performance of such systems using single metrics such as edge (lowest) resolution or average resolution. This approach has significant drawbacks: evaluating by edge resolution ignores the high-resolution characteristics of areas like the nadir, artificially reducing the system's information acquisition capabilities and failing to objectively assess the performance improvement of variable-resolution dynamic scanning systems compared to traditional systems; evaluating by average resolution ignores the system's variable-resolution characteristics, rendering it ineffective in engineering practice. Furthermore, there is currently no evaluation metric that can quantitatively compare the equivalent information of variable-resolution dynamic scanning systems and traditional constant-resolution pushbroom systems on the same dimension. This makes it difficult to accurately define the imaging information advantage of variable-resolution dynamic scanning systems compared to traditional systems when demonstrating system performance, and also makes it difficult to objectively classify dynamic scanning payloads of different configurations. Summary of the Invention

[0005] To address the shortcomings of existing variable resolution dynamic scanning optical remote sensing imaging information evaluation methods, this invention proposes a variable resolution dynamic scanning optical remote sensing imaging information flux evaluation method. By constructing a spatial sampling density integral model and information flux, it achieves accurate measurement and evaluation of the equivalent information volume of the full-width system. At the same time, it provides a quantitative comparison index of the equivalent information of the variable resolution dynamic scanning system and the traditional constant resolution pushbroom system.

[0006] This invention is achieved through the following technical solution: A method for evaluating the information throughput of variable resolution dynamic scanning optical remote sensing imaging: The method specifically includes the following steps: Step 1: For the variable resolution dynamic scanning remote sensing imaging system to be evaluated, obtain its satellite orbital parameters and attitude parameters, optical remote sensing camera intrinsic and extrinsic parameters and scanning motion characteristics, and establish a ground pixel resolution model. Step 2: Define the spatial sampling density function, which represents the number of pixels contained within a unit ground distance; Step 3: Integrate the spatial sampling density function over the full swath width to obtain the total number of effective pixels across the full swath width; based on this, combine the detector's radiometric quantization bit depth to calculate the total amount of data information across the full swath width. Step 4: Construct an equivalent information throughput model; Based on the total amount of data information across the full width, introduce a radiation quantization correction factor and a spatial scale normalization factor for dimensionless processing to obtain the information throughput. Step 5: Construct a visual information flux envelope diagram, with a width of Using the horizontal axis as the horizontal axis and the information throughput density as the vertical axis, an information throughput distribution map is drawn; by comparing the areas, the magnitude advantage of the dynamic scanning system in wide-area information acquisition is intuitively displayed, and a comprehensive evaluation of the system's capabilities is completed.

[0007] Further, in step 1, During the model building process, a remote sensing satellite with a vertical orbit rotation scanning system was used to construct the geometric projection relationship between the line of sight of the optical remote sensing camera and the spatial resolution, and to solve the mapping function between the instantaneous ground resolution and the position of the surface swath in the vertical orbit direction. Let the satellite altitude be The Earth's center is O, and the Earth's radius is The camera focal length is The pixel size of the optical remote sensing camera is single pixel field of view When the camera rotates to scan at an angle of ; At that time, the geocentric angle between OS and OD Using the Law of Sines, we have: (1) Calculate the slope distance using the law of sines. : (2) Then, the instantaneous resolution of the projection onto the ground at that angle is calculated. : (3) in, The term characterizes the projection stretching effect caused by tilted observation; by traversing the entire scanning angle range in this model, continuous curve data of resolution variation with scanning angle across the entire field of view are obtained.

[0008] Furthermore, in step 2, The instantaneous resolution obtained in step 1 Taking the reciprocal yields the spatial sampling density distribution function. : (4) At the same time, according to the geocentric angle Calculate the corresponding surface width location ; Therefore, the sampling density is established. Regarding the width position Functional relationship .

[0009] Furthermore, in step 2, Sampling density Regarding the width position Functional relationship It reflects the number of effective pixels that can be acquired for every kilometer of ground extension, and is used to reflect the information capture density of the system at that location; the density is highest near the nadir point; as the angle increases, the density decreases non-linearly.

[0010] Furthermore, in step 3, For sampling density function Integrating over the full width of the image, we have: (5) Considering that the data acquisition of remote sensing payloads is discrete, the above integration operation can be implemented through numerical discretization: (6) in, The total number of sampling points. and This represents the surface width position corresponding to two adjacent scan times. This refers to the width of the land cover during the sampling period. The average spatial sampling density of this interval; the calculated This refers to the total number of effective pixels across the entire width.

[0011] Furthermore, in step 3, Based on obtaining the total number of effective pixels across the entire swath, and combined with the system's radiometric quantization capability, the total amount of data information across the entire swath of the system is calculated. Let the actual radiometric quantization bits of the detector be... The total number of effective pixels across the full width obtained by integration. Multiply by the number of quantization bits The total amount of full-width data information is obtained. : (7) This indicator It represents the upper limit of the amount of data information that the system can acquire during the scanning imaging process, taking into account swath width, spatial sampling density and radiometric resolution.

[0012] Furthermore, in step 4, A dimensionless information throughput evaluation model was constructed, which includes: (8) in, The unit scale factor is Quantization depth as a benchmark; Based on this, spatial scale normalization and radiation depth normalization are performed, and information throughput is calculated to evaluate the overall effectiveness of the system in acquiring effective information in wide-area coverage.

[0013] A variable resolution dynamic scanning optical remote sensing imaging information throughput evaluation system; The system includes a parameter acquisition and resolution modeling module, a spatial sampling density function definition module, a full-width data total calculation module, an equivalent information throughput module, and a visualization comparison module. The parameter acquisition and resolution modeling module acquires the satellite orbit parameters and attitude parameters, optical remote sensing camera intrinsic and extrinsic parameters and scanning motion characteristics of the variable resolution dynamic scanning remote sensing imaging system to be evaluated, and establishes a ground pixel resolution model. The spatial sampling density function definition module is used to characterize the number of pixels contained within a unit ground distance; The full-width data total calculation module performs an integral operation on the spatial sampling density function over the full-width range to obtain the total effective pixels of the full-width range; based on this, combined with the radiometric quantization bits of the detector, the total data information of the full-width range is calculated. The equivalent information throughput module, based on the total amount of data information across the full width, introduces a radiation quantization correction factor and a spatial scale normalization factor for dimensionless processing to obtain the information throughput. The visualization comparison module is used to construct a visualization information throughput envelope diagram, with a width Using the horizontal axis as the horizontal axis and the information throughput density as the vertical axis, an information throughput distribution map is drawn; by comparing the areas, the magnitude advantage of the dynamic scanning system in wide-area information acquisition is intuitively displayed, and a comprehensive evaluation of the system's capabilities is completed.

[0014] An electronic device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the above method.

[0015] A computer-readable storage medium for storing computer instructions that, when executed by a processor, implement the steps of the above-described method.

[0016] Compared with the prior art, the present invention has at least the following beneficial effects: This invention addresses the issue that under large-angle dynamic scanning conditions, the imaging resolution undergoes a drastic nonlinear decay with the scanning angle. Existing evaluation metrics based on a single resolution (such as edge resolution or average resolution) are insufficient to objectively reflect the true imaging information content of the system across the entire swath width, and a quantitative standard is lacking that can provide an equivalent comparison between variable-resolution scanning systems and constant-resolution pushbroom systems. This invention achieves accurate measurement and evaluation of the equivalent information content of the full-swath system by constructing a spatial sampling density integral model and information flux. Simultaneously, it provides a quantitative comparison metric for the equivalent information of a variable-resolution dynamic scanning system and a traditional constant-resolution pushbroom system.

[0017] This invention breaks through the limitations of traditional single resolution indicators. By using an integral method, it transforms the continuous change process of resolution into the accumulation of total information throughput, which can truly and objectively reflect the comprehensive capabilities of dynamic scanning systems in terms of wide-area coverage and high resolution.

[0018] The information throughput index proposed in this invention provides a unified dimension for measuring information throughput for variable resolution scanning satellites and conventional pushbroom satellites, and can intuitively demonstrate the net information gain of the large side-swing scanning system under the strategy of sacrificing edge resolution for huge swath width.

[0019] This method is applicable not only to vertical rail rotation scanning, but also to other wide-swath dynamic imaging systems with resolution attenuation characteristics such as swing scanning, providing a unified mathematical tool for comparing the load capacity of different configurations. Attached Figure Description

[0020] Figure 1 This is a schematic diagram illustrating the spatial resolution variation with swath width of the vertical rail rotation scanning system of the present invention; Figure 2 This is a schematic diagram of the spatial sampling density distribution and the total number of effective pixels across the entire width of the present invention; Figure 3 This is a comparison chart of the effectiveness of different systems based on the information throughput evaluation method of the present invention; Figure 4 This is the ground pixel resolution model of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Unless otherwise specified, the experimental methods used in the following examples are conventional methods. Unless otherwise specified, the materials, reagents, methods, and instruments used are all conventional materials, reagents, methods, and instruments in the art, and can be obtained commercially by those skilled in the art.

[0023] Combination Figures 1 to 4 This invention proposes a method for evaluating satellite imaging information throughput using dynamic scanning, such as vertical orbit rotation scanning and roll scanning, and other variable resolution imaging systems.

[0024] The variable resolution dynamic scanning optical remote sensing imaging information throughput evaluation method of the present invention will be further explained with reference to the embodiments. This embodiment takes a vertical orbit rotating scanning optical remote sensing satellite as an example to illustrate the technical implementation process of the present invention.

[0025] 1. Ground pixel resolution model establishment: For the variable resolution dynamic scanning remote sensing system to be evaluated, its satellite orbital parameters and attitude parameters, optical remote sensing camera intrinsic and extrinsic parameters and scanning motion characteristics are obtained. A strict geometric projection relationship between the optical remote sensing camera's line of sight and spatial resolution is constructed, and the mapping function between the instantaneous ground resolution and the surface swath position in the vertical direction is calculated.

[0026] Since the spatial resolution of remote sensing satellites using a vertical-orbit rotating scanning system decreases nonlinearly with the increase of the rotating scanning angle, it is necessary to establish a model of the rotating scanning angle and spatial resolution, that is, to establish a corresponding ground pixel resolution model.

[0027] like Figure 4 As shown, let the satellite altitude be... Earth's radius is The camera focal length is The pixel size of the optical remote sensing camera is single pixel field of view When the camera rotates to scan at an angle of... At that time, the geocentric angle between OS and OD Using the Law of Sines, we have: (1) Calculate the slope distance using the law of sines. : (2) Then, the instantaneous resolution (GSD) of the projection onto the ground at that angle is calculated. : (3) in, The term characterizes the projection stretching effect caused by tilted observation. By traversing the entire scanning angle range in this model, continuous curve data of resolution variation with scanning angle across the entire field of view are obtained.

[0028] 2. Spatial sampling density function construction: This function represents the number of pixels contained within a unit distance on the ground, and is used to reflect the information capture density of the system at that location.

[0029] The instantaneous resolution obtained in step 1 Taking the reciprocal yields the spatial sampling density distribution function. : (4) At the same time, according to the geocentric angle Calculate the corresponding surface width location Therefore, the sampling density is established. Regarding the width position Functional relationship This function reflects the number of effective pixels that can be acquired per kilometer of ground extension. The density is highest near the nadir point; as the angle increases, the density decreases non-linearly.

[0030] 3. Calculation of Total Data Information Across the Full Width: The spatial sampling density function is integrated over the full width to obtain the total effective pixels across the full width. This index represents the total number of sampling points in the geometric projection sense. Based on this, combined with the detector's radiometric quantization bit depth, the total data information across the full width (Bit) is calculated. This step objectively measures the upper limit of the actual physical data acquired by the system under variable resolution conditions.

[0031] For sampling density function Integrating over the full width of the image, we have: (5) In specific data processing implementation, considering that the data acquisition of remote sensing payloads is discrete, the above integration operation can be achieved through numerical discretization: (6) in, The total number of sampling points. and This represents the surface width position corresponding to two adjacent scan times. This refers to the width of the land cover during the sampling period. This represents the average spatial sampling density for that interval. (Calculated...) This refers to the total number of effective pixels across the entire width.

[0032] Based on obtaining the total number of effective pixels across the entire swath, and further considering the system's radiometric quantization capability, the total amount of data information across the entire swath is calculated. Let the actual radiometric quantization bits of the detector be... The total number of effective pixels across the full width obtained by integration. Multiply by the number of quantization bits The total amount of full-width data information is obtained. : (7) This indicator It represents the upper limit of the amount of data information that the system can acquire during the scanning imaging process, taking into account swath width, spatial sampling density and radiometric resolution.

[0033] 4. Constructing an Equivalent Information Flux Evaluation Model: To achieve equivalent comparisons between different systems, an equivalent information flux model is constructed. Based on the total amount of data information across the entire width, a radiometric quantization correction factor and a spatial scale normalization factor are introduced for dimensionless processing to obtain the information flux. This indicator places the variable resolution dynamic scanning system and the constant resolution push-broom system under the same dimension, enabling a direct evaluation of the system's comprehensive effectiveness in acquiring effective information over wide-area coverage.

[0034] To facilitate a unified comparison of systems with different bandwidths (km level) and quantization levels, this invention constructs a dimensionless information throughput evaluation model, which includes: (8) in, The unit scale factor is The quantization depth is used as a baseline. Considering that remote sensing swath width is usually measured in kilometers (km) and resolution in meters (m), and the industry-standard reference quantization bit depth is 10 bits, this embodiment adopts the following normalization method: setting a unit scale factor. :Pick This is used to eliminate the order-of-magnitude difference between swath width (km) and resolution (m). It sets the baseline quantization depth. :Pick (i.e., 10 bits), serving as the industry benchmark radiation reference value.

[0035] Calculate information throughput have: (9) The physical meaning of this calculation process is as follows: Spatial scale normalization: mapping the information benchmark from the meter level to the kilometer level to adapt to macroscopic evaluation habits; Radiation depth normalization: quantizing the actual system to the number of bits. Relative to the benchmark Weighting is applied. For example, when the system uses 12-bit quantization, this contribution is... A gain of times.

[0036] 5. Visualized information flux envelope diagram.

[0037] With width Plot an information flux distribution map with the horizontal axis as the x-axis and information flux density as the y-axis. For example... Figure 3 As shown in the figure, the area under the curve directly corresponds to the information throughput. Simultaneously, rectangular information throughput distribution maps of pushbroom satellites of the same level are plotted in the same coordinate system. By comparing the areas, the scale advantage of the dynamic scanning system in wide-area information acquisition is intuitively demonstrated, completing a comprehensive evaluation of the system's capabilities.

[0038] Table 1. Comparison of information throughput between variable resolution dynamic scanning and traditional constant resolution push-broom systems.

[0039] A variable resolution dynamic scanning optical remote sensing imaging information throughput evaluation system; The system includes a parameter acquisition and resolution modeling module, a spatial sampling density function definition module, a full-width data total calculation module, an equivalent information throughput module, and a visualization comparison module. The parameter acquisition and resolution modeling module acquires the satellite orbit parameters and attitude parameters, optical remote sensing camera intrinsic and extrinsic parameters and scanning motion characteristics of the variable resolution dynamic scanning remote sensing imaging system to be evaluated, and establishes a ground pixel resolution model. The spatial sampling density function definition module is used to characterize the number of pixels contained within a unit ground distance; The full-width data total calculation module performs an integral operation on the spatial sampling density function over the full-width range to obtain the total effective pixels of the full-width range; based on this, combined with the radiometric quantization bits of the detector, the total data information of the full-width range is calculated. The equivalent information throughput module, based on the total amount of data information across the full width, introduces a radiation quantization correction factor and a spatial scale normalization factor for dimensionless processing to obtain the information throughput. The visualization comparison module is used to construct a visualization information throughput envelope diagram, with a width Using the horizontal axis as the horizontal axis and the information throughput density as the vertical axis, an information throughput distribution map is drawn; by comparing the areas, the magnitude advantage of the dynamic scanning system in wide-area information acquisition is intuitively displayed, and a comprehensive evaluation of the system's capabilities is completed.

[0040] An electronic device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the above method.

[0041] A computer-readable storage medium for storing computer instructions that, when executed by a processor, implement the steps of the above-described method.

[0042] The memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM). It should be noted that the memory of the methods described in this invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0043] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means such as coaxial cable, optical fiber, digital subscriber line, DSL, or wireless means such as infrared, wireless, microwave, etc. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium such as a floppy disk, hard disk, magnetic tape; an optical medium such as a high-density digital video disc, DVD; or a semiconductor medium such as a solid-state disk, SSD, etc.

[0044] In implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software. The steps of the method disclosed in the embodiments of this application can be directly implemented by a hardware processor, or by a combination of hardware and software modules in the processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, detailed descriptions are omitted here.

[0045] It should be noted that the processor in the embodiments of this application can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method embodiments can be completed by the integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied as execution by a hardware decoding processor, or as execution by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above methods.

[0046] The above provides a detailed description of the variable resolution dynamic scanning optical remote sensing imaging information throughput evaluation method proposed in this invention, and elucidates the principle and implementation of this invention. The above description of the embodiments is only for the purpose of helping to understand the method and core idea of ​​this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for evaluating the information throughput of variable resolution dynamic scanning optical remote sensing imaging, characterized in that: The method specifically includes the following steps: Step 1: For the variable resolution dynamic scanning remote sensing imaging system to be evaluated, obtain its satellite orbital parameters and attitude parameters, optical remote sensing camera intrinsic and extrinsic parameters and scanning motion characteristics, and establish a ground pixel resolution model. Step 2: Define the spatial sampling density function, which represents the number of pixels contained within a unit ground distance; Step 3: Integrate the spatial sampling density function over the full swath width to obtain the total number of effective pixels across the full swath width; based on this, combine the detector's radiometric quantization bit depth to calculate the total amount of data information across the full swath width. Step 4: Construct an equivalent information throughput model; Based on the total amount of data information across the full width, introduce a radiation quantization correction factor and a spatial scale normalization factor for dimensionless processing to obtain the information throughput. Step 5: Construct a visual information flux envelope diagram, with a width of Using the horizontal axis as the horizontal axis and the information throughput density as the vertical axis, an information throughput distribution map is drawn; by comparing the areas, the magnitude advantage of the dynamic scanning system in wide-area information acquisition is intuitively displayed, and a comprehensive evaluation of the system's capabilities is completed.

2. The method according to claim 1, characterized in that: In step 1, During the model building process, a remote sensing satellite with a vertical orbit rotation scanning system was used to construct the geometric projection relationship between the line of sight of the optical remote sensing camera and the spatial resolution, and to solve the mapping function between the instantaneous ground resolution and the position of the surface swath in the vertical orbit direction. Let the satellite altitude be The Earth's center is O, and the Earth's radius is The camera focal length is The pixel size of the optical remote sensing camera is single pixel field of view When the camera rotates to scan at an angle of ; At that time, the geocentric angle between OS and OD Using the Law of Sines, we have: (1) Calculate the slope distance using the law of sines. : (2) Then, the instantaneous resolution of the projection onto the ground at that angle is calculated. : (3) in, The term characterizes the projection stretching effect caused by tilted observation; by traversing the entire scanning angle range in this model, continuous curve data of resolution variation with scanning angle across the entire field of view are obtained.

3. The method according to claim 2, characterized in that: In step 2, The instantaneous resolution obtained in step 1 Taking the reciprocal yields the spatial sampling density distribution function. : (4) At the same time, according to the geocentric angle Calculate the corresponding surface width location ; Therefore, the sampling density is established. Regarding the width position Functional relationship .

4. The method according to claim 3, characterized in that: In step 2, Sampling density Regarding the width position Functional relationship It reflects the number of effective pixels that can be acquired per kilometer of ground extension, and is used to reflect the information capture density of the system at that location; the density is highest near the nadir point; The density decreases non-linearly as the angle increases.

5. The method according to claim 4, characterized in that: In step 3, For sampling density function Integrating over the full width of the image, we have: (5) Considering that the data acquisition of remote sensing payloads is discrete, the above integration operation can be implemented through numerical discretization: (6) in, The total number of sampling points. and This represents the surface width position corresponding to two adjacent scan times. This refers to the width of the land cover during the sampling period. The average spatial sampling density of this interval; the calculated This refers to the total number of effective pixels across the entire width.

6. The method according to claim 5, characterized in that: In step 3, Based on obtaining the total number of effective pixels across the entire swath, and combined with the system's radiometric quantization capability, the total amount of data information across the entire swath of the system is calculated. Let the actual radiometric quantization bits of the detector be... The total number of effective pixels across the full width obtained by integration. Multiply by the number of quantization bits The total amount of full-width data information is obtained. : (7) This indicator It represents the upper limit of the amount of data information that the system can acquire during the scanning imaging process, taking into account swath width, spatial sampling density and radiometric resolution.

7. The method according to claim 6, characterized in that: In step 4, A dimensionless information throughput evaluation model was constructed, which includes: (8) in, The unit scale factor is Quantization depth as a benchmark; Based on this, spatial scale normalization and radiation depth normalization are performed, and information throughput is calculated to evaluate the overall effectiveness of the system in acquiring effective information in wide-area coverage.

8. A variable resolution dynamic scanning optical remote sensing imaging information throughput evaluation system, characterized in that: The system is used to perform the variable resolution dynamic scanning optical remote sensing imaging information throughput evaluation method according to any one of claims 1 to 7; The system includes a parameter acquisition and resolution modeling module, a spatial sampling density function definition module, a full-width data total calculation module, an equivalent information throughput module, and a visualization comparison module. The parameter acquisition and resolution modeling module acquires the satellite orbit parameters and attitude parameters, optical remote sensing camera intrinsic and extrinsic parameters and scanning motion characteristics of the variable resolution dynamic scanning remote sensing imaging system to be evaluated, and establishes a ground pixel resolution model. The spatial sampling density function definition module is used to characterize the number of pixels contained within a unit ground distance; The full-width data total calculation module performs an integral operation on the spatial sampling density function over the full-width range to obtain the total effective pixels of the full-width range; based on this, combined with the radiometric quantization bits of the detector, the total data information of the full-width range is calculated. The equivalent information throughput module, based on the total amount of data information across the full width, introduces a radiation quantization correction factor and a spatial scale normalization factor for dimensionless processing to obtain the information throughput. The visualization comparison module is used to construct a visualization information throughput envelope diagram, with a width Using the horizontal axis as the horizontal axis and the information throughput density as the vertical axis, an information throughput distribution map is drawn; by comparing the areas, the magnitude advantage of the dynamic scanning system in wide-area information acquisition is intuitively displayed, and a comprehensive evaluation of the system's capabilities is completed.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium for storing computer instructions, characterized in that, When the computer instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 7.

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