141 results about "Radar imaging" patented technology

The invention relates to the technical field of campus safety protection, in particular to a method and system for preventing campus bullying by using a laser radar imaging technology, and the method comprises the following steps: obtaining 3D point cloud data of an environment in a monitoring region preset in a campus, and collecting sound data in the monitoring region; processing the 3D point cloud data, generating a three-dimensional environment image and extracting a first behavior feature; processing the sound data, and extracting a second behavior feature; performing multi-modal fusion on the first behavior feature and the second behavior feature to generate a unified behavior feature vector; based on the behavior feature vector, identifying whether a bullying behavior exists in the current scene, and calculating a corresponding behavior risk score; according to the method and the device, whether the preset alarm threshold value is reached or not is judged, and if yes, corresponding alarm and early warning operation is triggered, so that non-intrusive active monitoring of non-appearance privacy leakage of the campus secret corner is realized, and the problems of privacy limitation and blind areas of traditional video monitoring are solved.

The invention provides a multilayer medium efficient imaging method suitable for frequency modulation continuous wave ice radar data, and belongs to the field of frequency modulation continuous wave ice radar imaging. Comprising the steps of multi-layer medium signal model construction, improved distance-Doppler algorithm implementation, distance migration accurate correction and azimuth focusing processing. According to the method, a multi-layer medium signal model containing refractive index and propagation velocity changes is established for the problem of target distance distortion caused by propagation velocity differences of electromagnetic waves in different media such as ice and snow; based on the model, a traditional distance-Doppler algorithm process is improved, distance migration caused by multiple layers of media is accurately corrected by introducing a medium-dependent distance migration factor, and efficient azimuth focusing is achieved. And finally, a high-resolution ice layer internal structure image can be generated, and the method is suitable for polar region large-range ice cover detection and rapid processing of a large amount of ice radar data.

The invention discloses an FISTA plug-and-play sparse radar imaging method based on adaptive regulation and control, which combines FISTA with deep learning prior, introduces reinforcement learning to carry out adaptive parameter regulation and control, and aims to significantly improve the automation degree, convergence rate and cross-scene robustness of an imaging process. The method is especially suitable for processing challenges of coexistence of different sampling rates, noise levels and scene complexity, and can effectively solve the problems that a traditional method depends on manual parameter adjustment, the calculation overhead is high, and the generalization ability is weak. According to the method, selection modeling of key hyper-parameters (such as step length, de-noising intensity and momentum coefficient) and a stop criterion is used as a Markov decision process, and an intelligent agent makes a decision adaptively according to a current reconstruction state, so that the problem is solved, and an advanced solution is provided for efficient and reliable radar imaging processing.

The invention discloses a radar imaging detection satellite constellation design method, which comprises the following steps of: decomposing a constellation into a plurality of orbit surfaces, uniformly describing each orbit surface through four parameters, constructing an asymmetric constellation structure, and establishing a multi-target optimization model for solving by taking the total cost of the constellation, the maximum revisit time and the detection performance as targets. Non-dominated quantizer sorting is introduced in the sorting process, and satellite constellation design is completed. According to the method, single-satellite-based optimization of the salted fish is converted into orbital plane-based optimization, the optimization variable dimension is remarkably reduced, the method is particularly suitable for large-scale constellation design comprising hundreds of satellites, meanwhile, the Pareto frontier is obtained through non-dominated sorting, various constellation configuration schemes emphasizing different performances are provided, and the method is suitable for large-scale constellation design. Compared with an existing constellation design method, the problems that the to-be-optimized parameters are increased along with the number of satellites, and efficiency is low are solved, the scheme output by the algorithm is more reasonable through the improved sorting mode, and the method can be used for constellation design.

The embodiment of the invention provides a near-field MIMO radar data processing method based on multistage background suppression and target enhancement, and is applied to the technical field of radar signal processing. The method comprises the following steps: acquiring a real-time background template and a real-time image frame of a target scene; calculating to obtain differential image data corresponding to the real-time image frame based on the real-time background template and the real-time image frame; performing Gaussian filtering processing on the difference image data to obtain Gaussian filtering image data; performing morphological processing on the Gaussian filtering image data to obtain morphological image data; performing target enhancement processing on the morphological image data to obtain target enhanced image data corresponding to the real-time image frame; and outputting the target enhanced image data. The technical effect of improving the radar imaging precision is achieved.

The invention relates to the technical field of coherent laser radar detection and imaging, in particular to a Doppler tomography laser radar imaging device based on carrier phase noise compensation and an optimization method. Phase noise is accurately estimated through a double-reference channel structure, an image quality evaluation index is adopted as a parameter optimization basis and a compensation effect judgment standard, target echo phase noise is accurately compensated, and therefore high-resolution Doppler tomography of a high-speed spinning target at the rotating speed of 30 Hz is achieved under the condition that the optical path difference exceeds the distance of 80 times of the laser coherence length. The method is designed for the broadband characteristic of the echo signal of the Doppler tomography laser radar, and has the characteristics of high compensation precision, wide distance dynamic range, low manufacturing cost and the like.

The application discloses a vortex electromagnetic wave radar forward-looking imaging method and system based on a concentric circular array design, a storage medium and an electronic device, and specifically comprises the following steps: establishing a new system radar imaging model according to a radar working mode; designing a concentric circular array and a vortex mode transmitting function; deriving a return model; obtaining distance direction high-resolution information of a target; performing distance correction, phase decoupling and Bessel amplitude compensation on the azimuth direction of the return, and coherently superimposing the compensated return to reestablish a dual relationship between a mode and an azimuth angle; and finally, realizing vortex electromagnetic wave radar forward-looking two-dimensional imaging through fast Fourier transform on the azimuth direction. The forward-looking imaging can increase the observation time of a region of interest, keep the region of interest in a main lobe range, enhance the strength of a return, increase return information, and effectively improve the azimuth direction resolution.

This invention discloses a method and system for de-flattening preprocessing, belonging to the field of radar imaging. The method includes: acquiring a main radar image and a secondary radar image, each containing several main image scattering points and several secondary image scattering points; calculating the secondary image scattering points corresponding to the main image scattering points to form several scattering point pairs; performing a flat-ground phase acquisition action to obtain an ideal flat-ground phase, thereby forming an ideal flat-ground phase map and completing the de-flattening preprocessing process. The flat-ground phase acquisition action includes: calculating the main image Doppler history and the secondary image Doppler history of the scattering point pairs; determining the main image focusing time that meets a preset time threshold to calculate the main image slant range, thereby determining the secondary image focusing time that meets the preset time threshold, and calculating the secondary image slant range based on the secondary image focusing time; and obtaining the ideal flat-ground phase of the scattering point pairs based on the main image slant range and the secondary image slant range. The de-flattening preprocessing method disclosed in this invention can effectively reduce the processing error of de-flattening preprocessing methods.

The invention discloses an anomalous body positioning method and system combining borehole transient electromagnetic and geological radar, and relates to the technical field of mine safety detection, and the method comprises the steps: synchronously collecting the borehole transient electromagnetic data and geological radar data of an ore body to be analyzed, and generating a borehole transient electromagnetic imaging graph and a borehole geological radar imaging graph; two-dimensional coordinates of a target abnormal point in the borehole geological radar imaging graph are extracted, and the corresponding target apparent resistivity is determined; drawing an apparent resistivity contour map based on the target apparent resistivity in a target radial sectioning map of the borehole transient electromagnetic imaging map, and determining a plurality of candidate three-dimensional coordinates of a target abnormal point; at least one target feature point is selected from the borehole geological radar imaging graph, and the feature apparent resistivity corresponding to the target feature point is determined; and drawing a feature circle based on the target feature points, and screening the plurality of candidate three-dimensional coordinates to obtain coordinates of the geological anomalous body. According to the invention, the technical problem of insufficient positioning precision and reliability in the prior art is solved.

The present application relates to the interference method for generating radar false target, belongs to the technical field of antenna radar scattering. The method is: radar transmits electromagnetic wave to detect target; electromagnetic wave reaches echo control structure; modulation signal generator generates specific modulation signal and sends to the control structure; modulation signal on the control structure and electromagnetic wave signal are convolved in frequency domain to realize frequency spectrum shift; radar receives and processes electromagnetic echo signal, and multiple harmonic false targets appear in one-dimensional distance direction; the present application proposes to adjust the radar false target interference by controlling the frequency of modulation signal generator according to the needs, can realize the energy attenuation in one-dimensional distance direction, and a single radar target becomes many false targets, and the imaging radar can be effectively passively interfered by making the radar target fuzzy and generating many false targets.

The application provides a polarization SAR image simulation method for forests under complex terrain conditions, comprising the following steps: (1) setting parameters of a polarization SAR imaging process, including radar imaging parameters, forest parameters and terrain parameters; (2) generating a corresponding terrain model according to the terrain parameters; (3) constructing a forest model according to the forest parameters; (4) calculating a polarization SAR image according to the forest parameter model, and finally simulating the polarization SAR image of the forest under the complex terrain conditions. The method can improve the simulation of the polarization SAR image of the forest under the complex terrain conditions, can be used for understanding the remote sensing mechanism, testing new applications and designing the inversion algorithm of the forest structure, and can further explore the influence of the terrain on the polarization SAR image imaging process.

This invention relates to the field of radar imaging technology, and proposes a system and method for detecting local surface defects in field equipment based on a robotic arm. The system includes: a robotic arm unit with a SAR transceiver antenna mounted at its end, which transmits electromagnetic signals to the surface of the field equipment to be inspected and receives echo signals; a motion controller connected to the robotic arm unit, which controls the movement trajectory of the robotic arm; and an industrial control computer, which has a built-in SAR imaging data processing module and a path optimization module. The industrial control computer is electrically connected to the motion controller and the SAR transceiver antenna, respectively, driving the robotic arm unit to move according to the planned sampling trajectory, and simultaneously controlling the signal transmission and reception timing of the SAR transceiver antenna; the SAR imaging data processing module performs range compression, azimuth compression, and two-dimensional inverse Fourier transform processing on the received echo signals to generate SAR images characterizing the surface and internal defects of the equipment. This invention achieves full automation of the field equipment defect detection process.

The application relates to a fast maximum likelihood estimation method of a polarized SAR image equivalent view number graph and relates to the technical field of imaging radar image processing. The method comprises the following steps: obtaining a logarithmic determinant graph of polarized SAR image data by adopting logarithmic operation; calculating a local mean value graph of the polarized SAR logarithmic determinant graph; calculating a local mean value graph of each channel data of the polarized SAR; calculating the determinant value of all pixel data of the polarized SAR image after local averaging, forming a corresponding determinant graph, and obtaining a logarithmic determinant graph by adopting logarithmic operation; obtaining a local sample statistic graph of the polarized SAR data equivalent view number estimation by adopting matrix subtraction; and quickly estimating the equivalent view number graph of the polarized SAR image by using an analytical approximation solving formula of the ML estimation and based on matrix operation. The method avoids the iterative numerical operation and initial interval setting problem of a traditional method, and the fast calculation method based on matrix operation and convolution has obvious efficiency advantages when the equivalent view number graph of the polarized SAR image is estimated.

A target detection and tracking method and storage medium combining radar and infrared thermal imaging are disclosed. The method includes the following steps: Step S1: Acquiring millimeter-wave radar data and raw infrared thermal imaging data within a given space; Step S2: Performing imaging processing on the radar and infrared data respectively, removing background from the radar imaging results; Step S3: Performing time-dimensional registration on the infrared imaging results based on the radar refresh rate; performing CFAR detection processing on the matched results and clustering to output the target point cloud and centroid; Step S5: Using the transformation relationship between the spatial three-dimensional coordinate system and the infrared two-dimensional image coordinate system, obtaining the set of pixel positions of the target in the two-dimensional infrared thermal image; Step S6: Performing thermal feature calculation; Step S7: Outputting the target feature information. The storage medium is used to implement the above method. This invention has the advantages of simple principle, wide applicability, and high detection accuracy.

The invention discloses precession target high-resolution imaging based on compressed sensing, and belongs to the technical field of radar imaging. The method comprises the following steps: firstly, obtaining an expression of a radar echo signal according to echo characteristics of a precession target; discretizing an imaging interval on a plane in the coordinate system into a two-dimensional grid to obtain echo signals of all grid points, and constructing a corresponding sparse matrix; parameters required in the construction process of the sparse matrix are solved according to the precession target motion model; and finally, a compressed sensing algorithm is introduced into imaging of the precession target, sparse reconstruction is realized by adopting an OMP algorithm, and a clear ISAR image is obtained. According to the method, on the basis of analyzing the echo characteristics and the spatial state of the precession target in the middle section of the trajectory, the spatial two-dimensional joint sparse base is constructed, the two-dimensional joint imaging of the precession target based on the CS is realized, and the compressed sensing two-dimensional joint imaging method of the precession target established based on the spatial state of the target adopts longer CPI imaging, has higher resolution, and can be used for realizing the two-dimensional joint imaging of the precession target. And the spatial distribution of the target scattering points can be clearly displayed.

The invention provides an interference / polarization imaging radar complex conjugate product signal noise reduction processing method and system based on a variation coefficient, and the method comprises the steps: calculating a radar interference pair or a complex conjugate product signal of a complex signal sum corresponding to two polarization channels, and segmenting the complex conjugate product signal into sliding windows according to a set window size and an overlapping size; calculating a variation coefficient of each sliding window; calculating filtering parameters of effective pixels in each sliding window; transforming a spatial domain into a frequency domain; carrying out Goldstein filtering on the frequency spectrum corresponding to each sliding window; and converting the filtered frequency spectrums corresponding to the sliding windows back to a spatial domain. Compared with a traditional filtering algorithm, the method can effectively suppress the noise in the complex conjugate product signal of the interference / polarization imaging radar, and remarkably improves the phase extraction accuracy and precision.

This invention aligns with the development trend of multi-scenario and multi-mode civilian radar. Addressing the core needs of multi-task adaptation, electromagnetic interference suppression, and flexible performance upgrades, it designs an intelligent radar signal processing architecture that meets the three standards of "functional scalability, performance upgradeability, modularity, and standardization," with deep decoupling of hardware and software and support for online software upgrades. This architecture adapts to the radar sensing and detection needs in complex electromagnetic environments. The architecture consists of three layers: hardware, system software, and intelligent applications. The hardware layer adopts a 3U VPX cableless platform, achieving flexible interconnection and expansion of multiple modules through star-flash technology. The system software layer extracts the common functionalities of radar imaging, altimetry, monopulse detection, and electronic reconnaissance, breaking them down into 4 categories and 8 standard modules, supporting dynamic module reconfiguration based on a linked list structure. The intelligent application layer includes 8 types of software applications (APPs). The intelligent decision-making APP generates radar operating modes, parameters, and timing strategies, driving other APPs to complete parameter configuration and achieving adaptive adaptation to multiple civilian scenarios.

The invention provides a millimeter wave linear array three-dimensional imaging radar system. The millimeter wave linear array three-dimensional imaging radar system comprises a W-frequency-band transceiving antenna array, a W-frequency-band transceiving channel, a radar signal processor and a clock / local oscillation frequency source, the W-band transmit-receive antenna array is arranged by using an MIMO architecture and is connected to one side, facing a target, of the aerial carrier platform. According to the method, an MIMO architecture is adopted for arraying, and special processing such as period extraction is carried out on a sparse arraying method for the W frequency band. In addition, under the condition of the same number of antenna units in sparse array arrangement, the array size is increased, the system resolution is improved, and meanwhile the cost of a radar system is reduced; a system combining a downward-looking linear array technology and a downward-looking synthetic aperture radar technology is adopted, the resolution in the elevation direction is greatly improved, reliability is enhanced, long-distance, large-range and efficient continuous operation can be achieved, and an effective means is provided for mountain deformation and landslide monitoring, earthquake disaster damage evaluation, agriculture and forestry pest and disease monitoring and the like under atrocious weather conditions.

The application relates to the technical field of radar imaging, in particular to an effective vehicle-mounted SAR-BP motion compensation method, which comprises the following steps: obtaining echo signals, performing pulse compression on the echo signals based on transmission signals to obtain distance domain signals of SAR; selecting a reference strong point in the distance domain signals, performing upsampling processing on the reference strong point through interpolation to obtain a distance migration curve of the reference strong point; calculating a reference envelope offset correction factor, then estimating envelope offset correction factors of each distance gate, performing envelope offset correction on the distance domain signals to obtain signals compensated for slant range error; calculating a residual phase compensation factor, performing residual phase error correction on the signals compensated for slant range error to obtain signals compensated for residual phase; and performing imaging on the signals compensated for residual phase by using a BP algorithm to obtain a SAR image. The method reduces memory occupation, shortens calculation time consumption, has stronger universality and higher precision, and improves imaging quality.

The invention discloses an active-passive dual-mode single-photon laser radar imaging system and method, and belongs to the technical field of single-photon laser radars. The system comprises a transmitting module, a receiving module and a control module. The transmitting module comprises a laser, a laser amplification unit (1), a collimating mirror (2), a photoelectric detector (3) and a delay controller (4); the receiving module comprises a support and rotation controller (12), a telescope objective (5), a rear intercept adjusting lens (6), a dichroic beam splitter (7), a narrow band filter (8), a near infrared-visible light detector (9) and an SPAD detector (10); and the control module is a control and storage device (11). According to the system, a wide-view-field high-resolution passive two-dimensional image and a narrow-view-field active single-photon three-dimensional point cloud are synchronously obtained through a coaxial light path and light splitting design, fusion processing is carried out by adopting a time-intensity-space combined filtering algorithm, and a high-resolution three-dimensional image is generated.

The invention provides an airport runway foreign matter detection radar image target automatic alignment method, which comprises the following steps of: installing side lamp type runway foreign matter detection equipment at an airport, and selecting punctuation points on an airport runway; driving a radar and a camera of the side lamp type runway foreign matter detection equipment to obtain a radar imaging target position and a camera imaging target position of each punctuation point location; the radar imaging target position and the camera imaging target position form a punctuation position pair, and a plurality of optimal position pairs are screened out from the punctuation position pair; according to the optimal position pair, constructing a radar image target conversion function, and calculating a camera imaging target position; and when the foreign object FOD exists, calculating a camera imaging target position by using a radar image target conversion function, and driving the camera to move to an FOD specified position. According to the method, automatic alignment of the radar image target can be effectively realized, and the target is arranged in the middle of the image, so that the subsequent visual detection capability is improved, and airport workers can conveniently handle FOD events in time.

The invention relates to a construction site tower crane invisible electronic enclosure system and a transient closed-loop method thereof, global sensing nodes are deployed at the perimeter of a construction site, a 4D millimeter wave imaging radar scans the 360-degree two-dimensional cross section of a hoisting space and outputs a speed dimension point cloud, an AI intelligent camera is optically rechecked under the same coordinate system, and the transient closed-loop method of the construction site tower crane invisible electronic enclosure system is realized. Border-crossing semantic judgment is completed with the detection-recheck double threshold value smaller than or equal to 100 ms; the cloud digital twin drives a multistage transient response network, and issues a 5G message / sound and light / bracelet / large screen collaborative alarm to the driving end, the command end and the supervision end in parallel; and the credible evidence storage module links the cross-border timestamp, the field screenshot and the signature hash of the person in charge to form an evidence chain which cannot be tampered. The system performs online incremental learning on a continuous optimization model, and the trigger precision smaller than or equal to 0.1 m is kept all day long. Sub-decimeter-level and sub-second-level pre-judgment type safety control is achieved, reliable operation is still achieved at the rainstorm night, and a high-precision, all-weather, replicable and responsibility-traceable one-stop solving method is provided for tower crane cross-border prevention and control.

This invention discloses a signal enhancement method and apparatus for time-slice compressed sensing 3D imaging radar. First, an M×N dimensional random binary matrix is ​​generated as the measurement matrix for compressed sampling. The target area is illuminated using a laser source, and repeated sampling and modulation are performed to obtain a sampling matrix. The j-th column of the sampling matrix is ​​extracted to generate a compressed sampling vector for the corresponding time slice. The covariance between the compressed sampling vector and each column of the measurement matrix is ​​calculated to obtain the compressed sampling covariance vector. The covariance between each column of the measurement matrix and all columns is calculated to obtain the covariance measurement matrix. Based on a compressed sensing 2D reconstruction algorithm, the 2D image of each time slice is reconstructed using the covariance measurement matrix. The reconstructed 2D images of all time slices are stitched together to form a complete 3D image. This method and apparatus can solve the problems of low reconstruction accuracy and poor image quality in existing compressed sensing 3D imaging technologies under noisy environments.

The invention discloses an anomalous body boundary demarcation method based on borehole transient electromagnetic and geological radar cooperation, and relates to the technical field of mine safety detection, and the method comprises the steps: synchronously collecting borehole transient electromagnetic data and borehole geological radar data of a to-be-analyzed ore body, and respectively generating corresponding images; extracting a first abnormal data coordinate set of the transient electromagnetic imaging graph, extracting a second abnormal data coordinate set in the geological radar imaging graph, and calculating an overlapping degree; if the overlapping degree exceeds a preset threshold value, respectively calculating the distance of the corresponding coordinates, and removing the corresponding coordinates of which the distance is greater than a preset dynamic threshold value; and respectively carrying out weighted fusion and spatial correction on corresponding coordinates in the screened first coordinate set and the screened second coordinate set based on the normalized weight to obtain a geological anomalous body boundary range result of the to-be-analyzed ore body. The technical problems that in the prior art, abnormal body boundary delimiting precision is low, reliability is poor, and three-dimensional accurate positioning is difficult to achieve are solved.

The application provides a Sub-THz focal control superlens antenna based on an Alvarez lens and a design method, and belongs to the technical field of superlens antennas. The antenna is suitable for a Sub-THz frequency band of 100-300 GHz, the antenna adopts a two-layer pure-phase superlens cascade structure, and the pure-phase superlens is composed of superlens unit cells in a subwavelength scale and arranged in an equal-interval mode in the horizontal direction and the vertical direction. By making the upper and lower pure-phase superlenses horizontally and synchronously reversely translate and changing the translation distance, the focal point can be adjusted at a working frequency of 200 GHz, and the focal point control range is 10.02 mm-66.88 mm. The application can break through the bottleneck of the volume, integration, focusing efficiency and cost of a traditional antenna in a sub-terahertz frequency band, realize the miniaturization, light weight and high performance of an antenna system, and provide a reliable antenna solution for related fields such as sub-terahertz communication and radar imaging.

The invention relates to a high and low orbit cooperative satellite-borne multi-base SAR high-quality imaging segmental arc design method, and belongs to the technical field of radar imaging. Establishing a high and low orbit cooperative satellite-borne multi-base SAR imaging geometric model; calculating echo spatial spectrum distribution of each receiving station; determining a starting point range of an imageable arc section from the receiving station according to the alignment consistency constraint of the spatial spectrum; determining the velocity vector direction range of the slave receiving station according to the rotation angle boundaries of the extension directions of the spatial spectrums of the master and slave receiving stations; calculating the ratio of the range resolution to the azimuth resolution of the imaging result, and determining the velocity vector of each receiving station in combination with the bandwidth of the transmitted signal; preliminarily determining a high-quality imaging arc section through combined constraint of an observation squint angle and a spatial spectrum interval; and taking an intersection of the arc ranges, and outputting a final high-quality imaging arc design result. According to the method, the final imageable arc section is determined through constraint conditions such as radar sight and spatial spectrum interval distribution, and the optimal observation arc section of the receiving station is selected within a certain observation time to obtain a high-quality imaging result.

1. Name of the product in this design: Graphical User Interface for Long-Range Single-Photon Imaging Radar Application Software for Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The graphical user interface of this product is used to display the intensity map, depth map, three-dimensional imaging and single-photon count value status of distant targets, control the single-photon imaging process, set parameters and query, and analyze single-photon imaging performance. 7. Other situations requiring explanation: Other explanation: The electronic device is an existing design, and other views are omitted.

The invention discloses a time spectrometer system and method based on a microchannel plate photomultiplier (MCP-PMT). The constant proportion discriminator is triggered by adopting an attenuation branch / delay branch differential zero crossing point, and performs latch width limiting and level conversion on a trigger pulse; fPGA-based multi-level carry chain time TDC is adopted, and parallel tap sampling, bubble suppression and code density calibration table look-up correction are carried out; a processing flow of time window histogram accumulation, a first effective hit strategy, a background adaptive threshold and multi-peak positioning and fitting is adopted. According to the invention, the picosecond-level timing precision is obtained at a low clock rate, the sensitivity and precision of weak light signal flight time distance measurement are significantly improved, and the method is suitable for laser radar imaging and high time sequence of time correlation single photon counting, can realize sub-hundred picosecond-level time resolution, and is suitable for flight time distance measurement under a weak light condition.

The application provides a laser radar imaging and laser communication integrated device, and relates to the fields of imaging laser radar and laser communication.The application comprises an integrated system data chain control center, an optical mechanical system, an encoding module, a computing imaging unit, a synchronization unit, a time counter, a decoding module, a tracking control unit and a pointing adjustment unit, wherein the optical mechanical system is composed of a laser, a DMD, a telescope 1, a telescope 2, a beam splitter, a PD, a CCD and the like.The application efficiently integrates laser radar, computing imaging and laser communication, and can realize the technical functions of long-distance target tracking, identification, imaging and communication, and solves the problems of low integration degree of current optical load and low equipment reuse rate.

The application discloses a dam global hidden danger detection method based on radar image interpretation and a visual large model, and comprises the following steps: collecting dam data to obtain three-dimensional radar imaging data, visual images and corresponding dam GPS coordinates; performing denoising processing on the three-dimensional radar imaging data to obtain a standardized radar feature map; obtaining surface disease position labeling information based on the visual images to form a standardized multi-mode feature map; inputting the standardized multi-mode feature map into a radar feature enhancement attention module RFE-Attention to output an enhanced feature map; inputting the enhanced feature map into a class-specific detection architecture CS-VIT to obtain multi-class disease detection results; performing cross-domain adaptive training optimization on the CS-VIT to obtain updated multi-class disease detection results; and generating a dam body three-dimensional hidden danger distribution map. The application improves the detection precision and generalization robustness of dam global hidden dangers.