A lunar geological remote sensing detection and calibration integrated processing system and terminal

Abstract

The present application belongs to the technical field of lunar remote sensor radiation calibration, and discloses a lunar geological remote sensing detection and calibration integrated processing system and a terminal. The lunar geological remote sensing detection and calibration integrated processing system comprises a lunar remote sensing image acquisition module, an image enhancement module, a geological structure detection module, a data preprocessing module, an information extraction module, a region division module, an image feature extraction module, a geological analysis module, an analysis module, a calibration module and a display module. The geological structure detection module can use a lunar radar to detect the thickness of lunar soil and the geological structure of the lunar subsurface layer in the field. The detection is accurate. Through the detection, the layered structure characteristics of the lunar soil and the lunar subsurface layer can be obtained, which are used to invert the electromagnetic parameters of the lunar soil and the shallow rock of the lunar crust, and provide a basis for the mineral resource content. Meanwhile, the image enhancement module greatly improves the definition of the lunar image.

Description

Technical Field

[0001] This invention belongs to the field of lunar remote sensor radiometric calibration technology, and particularly relates to an integrated processing system and terminal for lunar geological remote sensing detection and calibration. Background Technology

[0002] The lunar surface, through long-term processes of melting, ejecta, tilling, and space weathering caused by early volcanic activity and meteorite impacts, has formed a fine-grained regolith layer several meters thick. As witnesses and recorders of environmental changes on the Moon and its surrounding solar system, these regolith layers are important "artifacts" for inferring the Moon's evolutionary history and are the most direct targets for current lunar remote sensing. SAR, as an active microwave remote sensing technology, has also been used in lunar exploration, such as the Mini-SAR (2008) carried by India's Chandrayaan-1, the Mini-RF (2009) on the US Lunar Reconnaissance Orbiter (LRO), and the DF-SAR (2019) on India's Chandrayaan-2. Compared to optical and infrared methods, SAR can detect the regolith within the permanently shadowed regions of the lunar poles and penetrate the surface to probe its internal structure, thus characterizing the overall properties of regolith of a certain thickness. Lunar surface soil is a special type of material formed by the long-term effects of space meteorite impacts and space weathering on lunar rocks. It preserves rich information about lunar igneous activity, volcanogenesis, the content and source of lunar water and volatiles, space meteorites, and space weather. Analyzing lunar exploration and lunar surface samples, both in situ and after their return to Earth, is crucial for obtaining this information and revealing the mysteries of lunar and lunar space evolution. However, existing integrated lunar geological remote sensing and calibration systems have low resolution for lunar geological structure detection results and poor correction effects on lunar optical remote sensing data.

[0003] Based on the above analysis, the problems and shortcomings of the existing technology are as follows:

[0004] (1) The existing lunar geological remote sensing and calibration integrated processing system is inaccurate in its lunar geological structure detection data.

[0005] (2) The existing lunar images are not clear and cannot meet the needs of lunar geological remote sensing and calibration. Summary of the Invention

[0006] To address the problems existing in the prior art, this invention provides an integrated method and system for lunar geological remote sensing and calibration.

[0007] This invention is implemented as follows: an integrated lunar geological remote sensing and calibration processing system, comprising:

[0008] The data preprocessing module, connected to the central control module, is used to preprocess the data from the lunar radar detection.

[0009] The information extraction module, connected to the central control module, is used to extract lunar rock and mineral information based on enhanced lunar remote sensing images combined with geological structure detection results.

[0010] The region division module, connected to the central control module, is used to divide lunar remote sensing images based on the enhanced lunar remote sensing images and the results of lunar geological structure exploration.

[0011] The region division module divides the lunar remote sensing image based on the enhanced lunar remote sensing image and the lunar geological structure detection results, including:

[0012] The process involves acquiring enhanced lunar remote sensing images and uniformly dividing them into multiple grids; calculating the brightness data of each grid and dividing the grids based on the calculated brightness information to obtain an initial division result; acquiring lunar geological structure detection results and fusing them with the lunar remote sensing images to determine the geological types of various lunar regions; and adjusting the initial division result based on the geological types of various lunar regions to obtain the lunar region division result.

[0013] The image feature extraction module, connected to the central control module, is used to extract lunar remote sensing image features by region based on the region division results.

[0014] The geological analysis module, connected to the central control module, is used to generate geological analysis results based on extracted lunar rock and mineral information, regional division results, image features, and geological structure detection results.

[0015] The analysis module, connected to the central control module, is used to analyze lunar images using the ROLO absolute radiometric calibration model in combination with the regional division results and image feature extraction results to obtain absolute radiometric calibration coefficients.

[0016] The calibration module, connected to the central control module, is used to perform radiometric calibration on the remote sensor based on the regional division results and image features using radiometric calibration coefficients.

[0017] Furthermore, the lunar geological remote sensing and calibration integrated processing system also includes:

[0018] The lunar remote sensing image acquisition module is connected to the central control module and is used to acquire lunar remote sensing images through the lunar remote sensor.

[0019] The image enhancement module, connected to the central control module, is used to enhance the acquired lunar remote sensing images.

[0020] The geological structure detection module, connected to the central control module, is used to detect the geological structure of the lunar surface using lunar penetrating radar.

[0021] The central control module is connected to the lunar remote sensing image acquisition module, image enhancement module, geological structure detection module, data preprocessing module, information extraction module, region division module, image feature extraction module, geological analysis module, analysis module, calibration module, and display module, and is used to control the normal operation of each module.

[0022] The display module, connected to the central control module, is used to display remote sensing images, geological structure detection information, rock and mineral information, regional division results, image features, geological analysis results, analysis results, and calibration information on the monitor.

[0023] Furthermore, the image enhancement module enhancement method includes:

[0024] (1) Input hyperspectral lunar remote sensing image; Using a hyperspectral lunar remote sensing imager, input a hyperspectral lunar remote sensing image; Group the bands in the hyperspectral lunar remote sensing image;

[0025] High-pass filters were used to filter hyperspectral lunar remote sensing images to obtain both signal and noise images of the hyperspectral lunar remote sensing images.

[0026] The signal-to-noise ratio (SNR) of each band in the hyperspectral lunar remote sensing image was calculated using the SNR calculation formula.

[0027] The bands with a signal-to-noise ratio greater than 30 dB in all bands of the hyperspectral lunar remote sensing image were grouped into a clean band group, and the bands with a signal-to-noise ratio less than or equal to 30 dB in all bands of the hyperspectral lunar remote sensing image were grouped into a noisy band group.

[0028] (2) Constructing a four-dimensional data block:

[0029] The noise band group data is divided into N three-dimensional data blocks of size 4×4×4, where N is an integer greater than or equal to 1;

[0030] Arbitrarily select one of the N divided 3D data blocks as the reference block;

[0031] The similarity coefficient between each 3D data block and the reference block is calculated using the similarity calculation formula.

[0032] All three-dimensional data blocks with a similarity coefficient of less than 2.8 with the reference block are grouped into a four-dimensional data block;

[0033] (3) Perform empirical Wiener filtering on the four-dimensional data block:

[0034] The four-dimensional data block is filtered using an empirical Wiener filter to obtain a denoised four-dimensional data block.

[0035] (4) Output denoised hyperspectral lunar remote sensing image:

[0036] All data from the denoised four-dimensional data block are returned to the hyperspectral lunar remote sensing image, and the denoised hyperspectral lunar remote sensing image is output.

[0037] Furthermore, the signal-to-noise ratio calculation formula is as follows:

[0038]

[0039] Where SNRi represents the signal-to-noise ratio of the i-th band in the hyperspectral lunar remote sensing image, log represents the logarithmic operation to the base 10, ∑ represents the summation operation, si(k) represents the value of the k-th element in the i-th band of the hyperspectral lunar remote sensing image, and ni(k) represents the value of the k-th element in the i-th band of the hyperspectral lunar remote sensing image.

[0040] The similarity calculation formula is as follows:

[0041]

[0042] Where dn represents the similarity coefficient between the nth 3D data block and the reference block, |·| represents the absolute value operation, CR represents the reference block selected from the N 3D data blocks after the noise band group data is divided, and Cn represents the nth 3D data block among the N 3D data blocks after the noise band group data is divided.

[0043] Furthermore, the geological structure detection module utilizes lunar penetrating radar to detect the geological structure of the lunar surface, including the following steps:

[0044] 1) The central controller of the lunar radar outputs a clock signal and a trigger pulse signal to amplify and correct the signal; thereby controlling the first channel pulse signal transmitter, the second channel pulse signal transmitter, the first channel receiver, and the second channel receiver to transmit ultra-wideband carrierless pulse signals and receive reflected pulse signals, and providing power to the transmitters and receivers;

[0045] 2) Under the control of the central controller, the first channel pulse signal transmitter outputs an HF / VHF ultra-wideband carrierless pulse signal and radiates the HF / VHF ultra-wideband carrierless pulse signal into the lunar subsurface through the first channel ultra-wideband transmitting antenna; the first channel receiver, under the control of the central controller, receives the reflected pulse signal corresponding to the HF / VHF ultra-wideband carrierless pulse signal received by the first channel ultra-wideband receiving antenna.

[0046] 3) The second-channel pulse signal transmitter outputs a UHF ultra-wideband carrierless pulse signal under the control of the central controller, and radiates the UHF ultra-wideband carrierless pulse signal into the lunar soil through the second-channel ultra-wideband transmitting antenna; the second-channel receiver, under the control of the central controller, receives the reflected pulse signal corresponding to the UHF ultra-wideband carrierless pulse signal received by the second-channel ultra-wideband receiving antenna A and the second-channel ultra-wideband receiving antenna B.

[0047] Furthermore, the central controller, pulse signal transmitter, and receiver are all installed inside the lunar rover, while all ultra-wideband antennas are installed outside the lunar rover. Under the control of ground remote control commands, as the lunar rover moves, the two channels work alternately to radiate and receive ultra-wideband carrier-free pulses respectively, completing the exploration of the lunar soil and the geological structure of the lunar subsurface rocks.

[0048] The central controller further includes: a radar central controller, a bus interface circuit, a power supply circuit, a clock circuit, a configuration circuit, a first channel signal input circuit, and a second channel signal input circuit, wherein:

[0049] The radar central controller controls the operation of the transmitter and receiver to acquire and receive the reflected pulse signals of the first and second channels at high speed, and communicates, injects, and outputs detection data with the lunar rover's integrated electronic system through the bus interface circuit.

[0050] The power supply circuit is used to limit the current, filter and stabilize the power supplied by the lunar rover, so as to obtain the power supply required by the radar central controller, transmitter and receiver.

[0051] The clock circuit is used to provide a standard clock signal for the radar central controller;

[0052] The first and second channel signal input circuits further include an input signal bias circuit and a programmable comparison level generation circuit for receiving reflected pulse signals;

[0053] The radar central controller also performs real-time superposition of the reflected pulse signal to remove random interference noise.

[0054] The first channel pulse signal transmitter includes a drive pulse generation circuit and a multi-stage avalanche circuit. The transmitter trigger pulse signal issued by the central controller is shaped and filtered by the drive pulse generation circuit to generate a narrow pulse that drives the avalanche transistor, thereby triggering the multi-stage avalanche circuit to generate a high-amplitude ultra-wideband voltage pulse signal, which is then fed to the first channel ultra-wideband transmitting antenna.

[0055] The second channel pulse signal transmitter operates on the same principle as the first channel pulse signal transmitter. It generates UHF ultra-wideband voltage pulse signals by adjusting circuit parameters and feeds them to the second channel ultra-wideband transmitting antenna.

[0056] Furthermore, the first channel receiver sequentially includes a limiting module, a low-pass filter, a digitally controlled attenuation module, and an amplification module. After receiving the lunar surface layer structure reflected pulse signal from the first channel ultra-wideband receiving antenna, the first channel receiver sequentially passes it through limiting, filtering, attenuation, and amplification before sending it to the central controller. The central controller then converts it into a digital signal and stores it.

[0057] The second channel receiver includes two receiving channels, each of which includes a limiting module, a digitally controlled attenuation module, and an amplification module. After receiving the lunar surface layer structure reflected pulse signals from the second channel ultra-wideband receiving antenna A and the second channel ultra-wideband receiving antenna B, the second channel receiver sequentially performs limiting, attenuation, and amplification before sending them to the central controller. The central controller then converts the signals into digital signals and stores them.

[0058] Another object of the present invention is to provide a computer device, the computer device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor to enable the processor to realize the integrated processing system for lunar geological remote sensing and calibration.

[0059] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to implement the integrated lunar geological remote sensing and calibration processing system.

[0060] Another objective of this invention is to provide an information data processing terminal, which is used to realize the integrated processing system for lunar geological remote sensing and calibration.

[0061] Based on the above technical solutions and the technical problems solved, please analyze the advantages and positive effects of the technical solution to be protected by this invention from the following aspects:

[0062] First, addressing the technical problems existing in the prior art and the difficulty in solving them, this paper closely analyzes, in conjunction with the technical solution to be protected by this invention and the results and data obtained during the research and development process, how the technical solution of this invention solves the technical problems, and the inventive technical effects brought about by solving these problems. The specific description is as follows:

[0063] This invention utilizes a lunar radar with a geological structure detection module to conduct in-situ detection of lunar regolith thickness and the geological structure of the lunar subsurface. The detection is accurate and allows for the acquisition of the layered structural characteristics of the lunar regolith and subsurface geology, which can be used to invert the electromagnetic parameters of the lunar regolith and shallow lunar crust rocks, providing a basis for estimating mineral resource content. Simultaneously, this invention employs an image enhancement module to filter four-dimensional data blocks using an empirical Wiener filter, obtaining denoised four-dimensional data blocks. This overcomes the problem in existing technologies where the interspectral correlation of hyperspectral lunar remote sensing images is not considered, leading to the loss of edge contour and texture information in the denoised results. This invention effectively preserves the edge contour and texture information in the denoised hyperspectral lunar remote sensing images, significantly improving the clarity of lunar images.

[0064] This invention combines remote sensing imagery and lunar radar data to obtain more accurate and comprehensive lunar geological data and rock and mineral information, thereby enabling a comprehensive and accurate understanding of the lunar geological distribution and improving the accuracy of calibration.

[0065] Second, considering the technical solution as a whole or from a product perspective, the technical effects and advantages of the technical solution to be protected by this invention are specifically described as follows:

[0066] This invention utilizes a geological structure detection module to mount a lunar rover on which the radar can conduct in-situ surveys of lunar regolith thickness and the geological structure of the lunar subsurface. The surveys are accurate and can acquire the layered structural characteristics of the lunar regolith and subsurface geology, enabling the inversion of electromagnetic parameters of the lunar regolith and shallow lunar crustal rocks, thus providing a basis for estimating mineral resource content. Simultaneously, this invention employs an image enhancement module to filter four-dimensional data blocks using an empirical Wiener filter, obtaining denoised four-dimensional data blocks. This overcomes the problem in existing technologies where the interspectral correlation of hyperspectral lunar remote sensing images is not considered, leading to the loss of edge contour and texture information in the denoised results. This invention effectively preserves the edge contour and texture information in the denoised hyperspectral lunar remote sensing images, significantly improving the clarity of lunar images. Attached Figure Description

[0067] Figure 1 This is a flowchart of the integrated lunar geological remote sensing and calibration processing method provided in this embodiment of the invention.

[0068] Figure 2 This is a flowchart of the geological structure detection module detection method provided in the embodiment of the present invention.

[0069] Figure 3 This is a flowchart of the image enhancement module correction method provided in the embodiments of the present invention. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0071] I. Explanatory and Illustrative Embodiments. To enable those skilled in the art to fully understand how the present invention is specifically implemented, this section provides an explanatory and illustrative description of the embodiments described in the claims.

[0072] like Figure 1 As shown, the lunar geological remote sensing and calibration integrated processing method provided in this embodiment of the invention includes the following steps:

[0073] S101, the lunar remote sensing image acquisition module acquires lunar remote sensing images through a lunar remote sensor; the image enhancement module enhances the acquired lunar remote sensing images; the geological structure detection module uses a lunar penetrating radar to detect the geological structure of the lunar surface;

[0074] S102 utilizes the central control module to control the data preprocessing module to preprocess the data from the lunar radar detection; the information extraction module extracts lunar rock and mineral information based on the enhanced lunar remote sensing images combined with geological structure detection results.

[0075] S103, the region division module divides the lunar remote sensing image based on the enhanced lunar remote sensing image and the lunar geological structure exploration results; the image feature extraction module extracts lunar remote sensing image features by region based on the region division results.

[0076] S104, the geological analysis module generates geological analysis results based on the extracted lunar rock and mineral information, regional division results, image features, and geological structure detection results; the analysis module uses the ROLO absolute radiometric calibration model in combination with regional division results and image feature extraction results to analyze lunar images and obtain absolute radiometric calibration coefficients.

[0077] S105, the calibration module performs radiometric calibration on the remote sensor based on the regional division results and image features using radiometric calibration coefficients; the display module uses a monitor to display remote sensing images, geological structure detection information, rock and mineral information, regional division results, image features, geological analysis results, analysis results, and calibration information.

[0078] The lunar geological remote sensing and calibration integrated processing system provided in this embodiment of the invention includes:

[0079] The lunar remote sensing image acquisition module is connected to the central control module and is used to acquire lunar remote sensing images through the lunar remote sensor.

[0080] The image enhancement module, connected to the central control module, is used to enhance the acquired lunar remote sensing images.

[0081] The geological structure detection module, connected to the central control module, is used to detect the geological structure of the lunar surface using lunar penetrating radar.

[0082] The central control module is connected to the lunar remote sensing image acquisition module, image enhancement module, geological structure detection module, data preprocessing module, information extraction module, region division module, image feature extraction module, geological analysis module, analysis module, calibration module, and display module, and is used to control the normal operation of each module.

[0083] The data preprocessing module, connected to the central control module, is used to preprocess the data from the lunar radar detection.

[0084] The information extraction module, connected to the central control module, is used to extract lunar rock and mineral information based on enhanced lunar remote sensing images combined with geological structure detection results.

[0085] The region division module, connected to the central control module, is used to divide lunar remote sensing images based on the enhanced lunar remote sensing images and the results of lunar geological structure exploration.

[0086] The image feature extraction module, connected to the central control module, is used to extract lunar remote sensing image features by region based on the region division results.

[0087] The geological analysis module, connected to the central control module, is used to generate geological analysis results based on extracted lunar rock and mineral information, regional division results, image features, and geological structure detection results.

[0088] The analysis module, connected to the central control module, is used to analyze lunar images using the ROLO absolute radiometric calibration model in combination with the regional division results and image feature extraction results to obtain absolute radiometric calibration coefficients.

[0089] The calibration module, connected to the central control module, is used to perform radiometric calibration of the remote sensor based on the regional division results and image features using radiometric calibration coefficients.

[0090] The display module, connected to the central control module, is used to display remote sensing images, geological structure detection information, rock and mineral information, regional division results, image features, geological analysis results, analysis results, and calibration information on the monitor.

[0091] like Figure 2 As shown, the geological structure detection module 2 provided in this embodiment of the invention uses the following detection method:

[0092] S201, through the central controller outputting clock signal and trigger pulse signal, amplifies and corrects the signal; controls the first channel pulse signal transmitter, the second channel pulse signal transmitter, the first channel receiver, and the second channel receiver to respectively transmit ultra-wideband carrierless pulse signals and receive reflected pulse signals, and provides power to the transmitters and receivers;

[0093] S202, the first channel pulse signal transmitter outputs an HF / VHF ultra-wideband carrierless pulse signal under the control of the central controller, and radiates the HF / VHF ultra-wideband carrierless pulse signal into the lunar subsurface through the first channel ultra-wideband transmitting antenna; the first channel receiver receives the reflected pulse signal corresponding to the HF / VHF ultra-wideband carrierless pulse signal received by the first channel ultra-wideband receiving antenna under the control of the central controller.

[0094] S203, the second-channel pulse signal transmitter, under the control of the central controller, outputs a UHF ultra-wideband carrierless pulse signal and radiates the UHF ultra-wideband carrierless pulse signal into the lunar soil through the second-channel ultra-wideband transmitting antenna; the second-channel receiver, under the control of the central controller, receives the reflected pulse signal corresponding to the UHF ultra-wideband carrierless pulse signal received by the second-channel ultra-wideband receiving antenna A and the second-channel ultra-wideband receiving antenna B.

[0095] The central controller, pulse signal transmitter, and receiver provided in this embodiment of the invention are all installed inside the lunar rover, while all ultra-wideband antennas are installed outside the lunar rover. Under the control of ground remote control commands, as the lunar rover moves, the two channels work alternately to radiate and receive ultra-wideband carrierless pulses respectively, completing the exploration of the lunar soil and the geological structure of the lunar subsurface rocks.

[0096] The central controller provided in this embodiment of the invention further includes: a radar central controller, a bus interface circuit, a power supply circuit, a clock circuit, a configuration circuit, a first channel signal input circuit, and a second channel signal input circuit, wherein:

[0097] The radar central controller controls the operation of the transmitter and receiver to acquire and receive the reflected pulse signals of the first and second channels at high speed, and communicates, injects, and outputs detection data with the lunar rover's integrated electronic system through the bus interface circuit.

[0098] The power supply circuit is used to limit the current, filter and regulate the voltage of the power supplied by the lunar rover, so as to obtain the power supply required by the radar central controller, transmitter and receiver.

[0099] The clock circuit is used to provide a standard clock signal for the radar central controller;

[0100] The first and second channel signal input circuits further include an input signal bias circuit and a programmable comparison level generation circuit for receiving reflected pulse signals.

[0101] The radar central controller also performs real-time superposition of the reflected pulse signals to remove random interference noise.

[0102] The first-channel pulse signal transmitter provided in this embodiment of the invention includes a driving pulse generation circuit and a multi-stage avalanche circuit. The transmitter trigger pulse signal issued by the central controller is shaped and filtered by the driving pulse generation circuit to generate a narrow pulse that drives the avalanche transistor, thereby triggering the multi-stage avalanche circuit to generate a high-amplitude ultra-wideband voltage pulse signal, which is then fed to the first-channel ultra-wideband transmitting antenna.

[0103] The second-channel pulse signal transmitter operates on the same principle as the first-channel pulse signal transmitter. It generates UHF ultra-wideband voltage pulse signals by adjusting circuit parameters and feeds them to the second-channel ultra-wideband transmitting antenna.

[0104] The first channel receiver provided in this embodiment of the invention includes, in sequence, a limiting module, a low-pass filter, a digitally controlled attenuation module, and an amplification module. After receiving the lunar surface layered structure reflected pulse signal received from the first channel ultra-wideband receiving antenna, the first channel receiver sequentially passes through limiting, filtering, attenuation, and amplification before sending it to the central controller. The central controller then converts the signal into a digital signal and stores it.

[0105] The second-channel receiver provided in this embodiment of the invention includes two receiving channels. Each receiving channel includes a limiting module, a digitally controlled attenuation module, and an amplification module in sequence. After receiving the lunar surface layered structure reflected pulse signal from the second-channel ultra-wideband receiving antenna A and the second-channel ultra-wideband receiving antenna B, the second-channel receiver sequentially performs limiting, attenuation, and amplification before sending it to the central controller. The central controller then converts the signal into a digital signal and stores it.

[0106] like Figure 3 As shown, the image enhancement module enhancement method provided in this embodiment of the invention is as follows:

[0107] S301, Input hyperspectral lunar remote sensing image; Using a hyperspectral lunar remote sensing imager, input a hyperspectral lunar remote sensing image; Group the bands in the hyperspectral lunar remote sensing image;

[0108] High-pass filters were used to filter hyperspectral lunar remote sensing images to obtain both signal and noise images of the hyperspectral lunar remote sensing images.

[0109] The signal-to-noise ratio (SNR) of each band in the hyperspectral lunar remote sensing image was calculated using the SNR calculation formula.

[0110] The bands with a signal-to-noise ratio greater than 30 dB in all bands of the hyperspectral lunar remote sensing image were grouped into a clean band group, and the bands with a signal-to-noise ratio less than or equal to 30 dB in all bands of the hyperspectral lunar remote sensing image were grouped into a noisy band group.

[0111] S302, Construct a four-dimensional data block:

[0112] The noise band group data is divided into N three-dimensional data blocks of size 4×4×4, where N is an integer greater than or equal to 1;

[0113] Arbitrarily select one of the N divided 3D data blocks as the reference block;

[0114] The similarity coefficient between each 3D data block and the reference block is calculated using the similarity calculation formula.

[0115] All three-dimensional data blocks with a similarity coefficient of less than 2.8 with the reference block are grouped into a four-dimensional data block;

[0116] S303, Perform empirical Wiener filtering on the four-dimensional data block:

[0117] The four-dimensional data block is filtered using an empirical Wiener filter to obtain a denoised four-dimensional data block.

[0118] S304, outputting denoised hyperspectral lunar remote sensing images:

[0119] All data from the denoised four-dimensional data block are returned to the hyperspectral lunar remote sensing image, and the denoised hyperspectral lunar remote sensing image is output.

[0120] The signal-to-noise ratio calculation formula provided in this embodiment of the invention is as follows:

[0121]

[0122] Where SNRi represents the signal-to-noise ratio of the i-th band in the hyperspectral lunar remote sensing image, log represents the logarithmic operation to the base 10, ∑ represents the summation operation, si(k) represents the value of the k-th element in the i-th band of the signal image of the hyperspectral lunar remote sensing image, and ni(k) represents the value of the k-th element in the i-th band of the noisy image of the hyperspectral lunar remote sensing image.

[0123] The formula for calculating similarity is as follows:

[0124]

[0125] Where dn represents the similarity coefficient between the nth 3D data block and the reference block, |·| represents the absolute value operation, CR represents the reference block selected from the N 3D data blocks after the noise band group data is divided, and Cn represents the nth 3D data block among the N 3D data blocks after the noise band group data is divided.

[0126] The region division module provided in this embodiment of the invention divides lunar remote sensing images based on enhanced lunar remote sensing images and lunar geological structure exploration results, including:

[0127] The process involves acquiring enhanced lunar remote sensing images and uniformly dividing them into multiple grids; calculating the brightness data of each grid and dividing the grids based on the calculated brightness information to obtain an initial division result; acquiring lunar geological structure detection results and fusing them with the lunar remote sensing images to determine the geological types of various lunar regions; and adjusting the initial division result based on the geological types of various lunar regions to obtain the lunar region division result.

[0128] It should be noted that embodiments of the present invention can be implemented in hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the above-described devices and methods can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuitry such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field-programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of the above-described hardware circuitry and software, such as firmware.

[0129] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions, and improvements made by those skilled in the art within the scope of the technology disclosed in the present invention, and within the spirit and principles of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A lunar geological remote sensing and calibration integrated processing system, characterized in that, The integrated lunar geological remote sensing and calibration system includes: The data preprocessing module, connected to the central control module, is used to preprocess the data from the lunar radar detection. The information extraction module, connected to the central control module, is used to extract lunar rock and mineral information based on enhanced lunar remote sensing images combined with geological structure detection results. The region division module, connected to the central control module, is used to divide lunar remote sensing images based on the enhanced lunar remote sensing images and the results of lunar geological structure exploration. The region division module divides the lunar remote sensing image based on the enhanced lunar remote sensing image and the lunar geological structure exploration results, including: The process involves acquiring enhanced lunar remote sensing images and uniformly dividing them into multiple grids; calculating the brightness data of each grid and dividing the grids based on the calculated brightness information to obtain an initial division result; acquiring lunar geological structure detection results and fusing them with the lunar remote sensing images to determine the geological types of various lunar regions; and adjusting the initial division result based on the geological types of various lunar regions to obtain the lunar region division result. The image feature extraction module, connected to the central control module, is used to extract lunar remote sensing image features by region based on the region division results. The geological analysis module, connected to the central control module, is used to generate geological analysis results based on extracted lunar rock and mineral information, regional division results, image features, and geological structure detection results. The analysis module, connected to the central control module, is used to analyze lunar images using the ROLO absolute radiometric calibration model in combination with the regional division results and image feature extraction results to obtain absolute radiometric calibration coefficients. The calibration module, connected to the central control module, is used to perform radiometric calibration on the remote sensor based on the regional division results and image features using radiometric calibration coefficients.

2. The lunar geological remote sensing and calibration integrated processing system as described in claim 1, characterized in that, The integrated lunar geological remote sensing and calibration system also includes: The lunar remote sensing image acquisition module is connected to the central control module and is used to acquire lunar remote sensing images through the lunar remote sensor. The image enhancement module, connected to the central control module, is used to enhance the acquired lunar remote sensing images. The geological structure detection module, connected to the central control module, is used to detect the geological structure of the lunar surface using lunar penetrating radar. The central control module is connected to the lunar remote sensing image acquisition module, image enhancement module, geological structure detection module, data preprocessing module, information extraction module, region division module, image feature extraction module, geological analysis module, analysis module, calibration module, and display module, and is used to control the normal operation of each module. The display module, connected to the central control module, is used to display remote sensing images, geological structure detection information, rock and mineral information, regional division results, image features, geological analysis results, analysis results, and calibration information on the monitor.

3. The lunar geological remote sensing and calibration integrated processing system as described in claim 2, characterized in that, The image enhancement module enhancement method includes: (1) Input hyperspectral lunar remote sensing image; Using a hyperspectral lunar remote sensing imager, input a hyperspectral lunar remote sensing image; Group the bands in the hyperspectral lunar remote sensing image; High-pass filters were used to filter hyperspectral lunar remote sensing images to obtain both signal and noise images of the hyperspectral lunar remote sensing images. The signal-to-noise ratio (SNR) of each band in the hyperspectral lunar remote sensing image was calculated using the SNR calculation formula. The bands with a signal-to-noise ratio greater than 30 dB in all bands of the hyperspectral lunar remote sensing image were grouped into a clean band group, and the bands with a signal-to-noise ratio less than or equal to 30 dB in all bands of the hyperspectral lunar remote sensing image were grouped into a noisy band group. (2) Constructing a four-dimensional data block: The noise band group data is divided into N three-dimensional data blocks of size 4×4×4, where N is an integer greater than or equal to 1; Arbitrarily select one of the N divided 3D data blocks as the reference block; The similarity coefficient between each 3D data block and the reference block is calculated using the similarity calculation formula. All three-dimensional data blocks with a similarity coefficient of less than 2.8 with the reference block are grouped into a four-dimensional data block; (3) Perform empirical Wiener filtering on the four-dimensional data block: The four-dimensional data block is filtered using an empirical Wiener filter to obtain a denoised four-dimensional data block. (4) Output denoised hyperspectral lunar remote sensing image: All data from the denoised four-dimensional data block are returned to the hyperspectral lunar remote sensing image, and the denoised hyperspectral lunar remote sensing image is output.

4. The lunar geological remote sensing and calibration integrated processing system as described in claim 3, characterized in that, The signal-to-noise ratio calculation formula is as follows: ； Among them, SNR i The signal-to-noise ratio of the i-th band in the hyperspectral lunar remote sensing image is represented by s, log represents the logarithmic operation to base 10, ∑ represents the summation operation, and s i (k) represents the value of the k-th element in the i-th band of the hyperspectral lunar remote sensing image, n i (k) represents the value of the k-th element in the i-th band of a hyperspectral lunar remote sensing image.

5. The lunar geological remote sensing and calibration integrated processing system as described in claim 2, characterized in that, The geological structure detection module uses lunar penetrating radar to detect the geological structure of the lunar surface, including the following steps: 1) The central controller of the lunar radar outputs a clock signal and a trigger pulse signal to amplify and correct the signal; thereby controlling the first channel pulse signal transmitter, the second channel pulse signal transmitter, the first channel receiver, and the second channel receiver to transmit ultra-wideband carrierless pulse signals and receive reflected pulse signals, and providing power to the transmitters and receivers; 2) Under the control of the central controller, the first channel pulse signal transmitter outputs an HF / VHF ultra-wideband carrierless pulse signal and radiates the HF / VHF ultra-wideband carrierless pulse signal into the lunar subsurface through the first channel ultra-wideband transmitting antenna; the first channel receiver, under the control of the central controller, receives the reflected pulse signal corresponding to the HF / VHF ultra-wideband carrierless pulse signal received by the first channel ultra-wideband receiving antenna. 3) The second-channel pulse signal transmitter outputs a UHF ultra-wideband carrierless pulse signal under the control of the central controller, and radiates the UHF ultra-wideband carrierless pulse signal into the lunar soil through the second-channel ultra-wideband transmitting antenna; the second-channel receiver, under the control of the central controller, receives the reflected pulse signal corresponding to the UHF ultra-wideband carrierless pulse signal received by the second-channel ultra-wideband receiving antenna A and the second-channel ultra-wideband receiving antenna B.

6. The lunar geological remote sensing and calibration integrated processing system as described in claim 5, characterized in that, The central controller, pulse signal transmitter, and receiver are all installed inside the lunar rover, while all ultra-wideband antennas are installed outside the lunar rover. Under the control of ground remote control commands, as the lunar rover moves, the two channels work alternately to radiate and receive ultra-wideband carrierless pulses, respectively, to complete the exploration of the lunar soil and the geological structure of the lunar subsurface rocks. The central controller further includes: a radar central controller, a bus interface circuit, a power supply circuit, a clock circuit, a configuration circuit, a first channel signal input circuit, and a second channel signal input circuit, wherein: The radar central controller controls the operation of the transmitter and receiver to acquire and receive the reflected pulse signals of the first and second channels at high speed, and communicates, injects, and outputs detection data with the lunar rover's integrated electronic system through the bus interface circuit. The power supply circuit is used to limit the current, filter and stabilize the power supplied by the lunar rover, so as to obtain the power supply required by the radar central controller, transmitter and receiver. The clock circuit is used to provide a standard clock signal for the radar central controller; The first and second channel signal input circuits further include an input signal bias circuit and a programmable comparison level generation circuit for receiving reflected pulse signals; The radar central controller also performs real-time superposition of the reflected pulse signal to remove random interference noise. The first channel pulse signal transmitter includes a drive pulse generation circuit and a multi-stage avalanche circuit. The transmitter trigger pulse signal issued by the central controller is shaped and filtered by the drive pulse generation circuit to generate a narrow pulse that drives the avalanche transistor, thereby triggering the multi-stage avalanche circuit to generate a high-amplitude ultra-wideband voltage pulse signal, which is then fed to the first channel ultra-wideband transmitting antenna. The second channel pulse signal transmitter operates on the same principle as the first channel pulse signal transmitter. It generates UHF ultra-wideband voltage pulse signals by adjusting circuit parameters and feeds them to the second channel ultra-wideband transmitting antenna.

7. The lunar geological remote sensing and calibration integrated processing system as described in claim 5, characterized in that, The first channel receiver includes a limiting module, a low-pass filter, a digitally controlled attenuation module, and an amplification module. After receiving the lunar surface layer structure reflection pulse signal received from the first channel ultra-wideband receiving antenna, the first channel receiver passes the signal through limiting, filtering, attenuation, and amplification in sequence before sending it to the central controller. The central controller then converts the signal into a digital signal and stores it. The second channel receiver includes two receiving channels, each of which includes a limiting module, a digitally controlled attenuation module, and an amplification module. After receiving the lunar surface layer structure reflected pulse signals from the second channel ultra-wideband receiving antenna A and the second channel ultra-wideband receiving antenna B, the second channel receiver sequentially performs limiting, attenuation, and amplification before sending them to the central controller. The central controller then converts the signals into digital signals and stores them.

8. A computer device, characterized in that, The computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor enables the processor to implement the lunar geological remote sensing and calibration integrated processing system as described in any one of claims 1-7.

9. A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to implement the integrated lunar geological remote sensing and calibration processing system as described in any one of claims 1-7.

10. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the lunar geological remote sensing and calibration integrated processing system as described in any one of claims 1-7.

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