6results about How to "Meet detection needs" patented technology

This invention discloses a method, system, device, and medium for automatic extraction of black soil layer interfaces using ground-penetrating radar (GPR) based on an improved U-Net, belonging to the field of GPR data processing and intelligent interpretation technology. The method includes acquiring and preprocessing GPR B-scan image data, constructing a training dataset, building a layer extraction model based on an improved U-Net neural network model, constructing a hybrid loss function including at least two combinations of weighted binary cross-entropy loss, Dice loss, structural similarity loss, and smoothness loss, training the layer extraction model based on the training dataset and the hybrid loss function, and inputting the GPR B-scan image data to be detected into the trained layer extraction model to achieve automatic extraction of black soil layer interfaces using GPR. This invention effectively overcomes signal attenuation and noise interference in GPR images, achieving high-precision and continuous soil layer interface extraction.

This invention belongs to the field of sensor scheduling and discloses a cross-domain sensor resource scheduling method and system based on adaptive particle swarm optimization. The method includes initializing the particle swarm; updating the initialized particle swarm using a combination of swarm optimization and particle update algorithms; in the leader bee neighborhood search phase, updating the initialized particle swarm using the particle update algorithm to generate updated particles and calculating the target fitness corresponding to each updated particle; in the follower bee follow search phase, updating the particle swarm again using the roulette wheel algorithm based on the target fitness corresponding to each updated particle to obtain the update result; repeating the processes corresponding to the leader bee neighborhood search phase and the follower bee follow search phase until the maximum number of iterations is reached, and outputting the current update result as the optimal sensor scheduling scheme. This method improves detection accuracy and reduces radiation exposure risk and the number of sensor task switching operations.

The invention discloses an underwater sound source target detection, identification and positioning method and device based on a millimeter wave radar, and belongs to the technical field of underwater target detection, identification and positioning. The method comprises the following steps: acquiring a water surface echo signal by using a millimeter wave radar, and performing Fourier transform to obtain a distance-time spectrum; extracting a slow time phase sequence of each range gate in a radar beam coverage range, and obtaining a sound-induced water surface vibration signal after unwinding and filtering; performing correlation calculation on the vibration signal and a preset target feature library, or realizing target recognition through a deep learning model; a multi-radar cooperation or single-radar digital beam forming technology is adopted for target positioning, and large-range water area searching is achieved. According to the invention, the millimeter-wave radar is used for detecting micron-sized water surface vibration with high phase sensitivity, the defects of short distance, complex arrangement and the like of traditional acoustic and optical detection are overcome, and the system has large-range, real-time and non-contact underwater target detection and positioning capability.

This invention relates to a method for updating a digital elevation model (DEM) based on InSAR surface deformation. The method acquires surface deformation monitoring results of a target area using time-series InSAR technology. When the accuracy of the surface deformation monitoring results is verified by CORS stations, surface deformation zones are extracted from the monitoring results of the target area based on different geographical conditions by setting thresholds for surface deformation rate or surface deformation amount. Point cloud data of the surface deformation zones are acquired using airborne lidar. After data preprocessing, coordinate transformation, point cloud classification, and rasterization of the DEM, the DEM within the surface deformation zones is updated. Stable area DEM data is collected based on the principle of optimal current availability and mosaicked to form the updated DEM. Differential processing and leveling data analysis are performed on the two-phase DEM of the target area to verify the reliability of the surface deformation zones, achieving rapid updating of the DEM.

This application provides a time-of-flight statistics device and a laser ranging device, relating to the field of laser ranging technology. The statistics device includes a statistics unit and a memory: the statistics unit is used to acquire S sets of first initial flight time data within S first integration periods, and to accumulate each first initial flight time data set by grouping every N adjacent first initial flight time data sets to obtain S sets of accumulated flight time data corresponding to the S sets of first initial flight time data, where S is a positive integer, S≥2, and N is a positive integer, N≥2; and to superimpose the S sets of accumulated flight time data to obtain a superimposed flight time data set, and to store at least one superimposed photon count value in the superimposed flight time data set in the memory as a single superimposed photon count value stored in a memory unit; this statistics device can increase the detection range of the laser ranging device.

The invention provides a multi-spectrum compatible camouflage and protection film and a preparation method thereof, and belongs to the technical field of camouflage films, and the method comprises the following steps: screening and determining a phase change functional layer material and a directional emission module material; coupling a directional transmitting module material, a phase change functional layer material and a mechanical protective layer material, constructing a Fabry-Perot resonant cavity type multilayer film structure, and calculating an initial thickness range of each layer of material in the directional transmitting module; carrying out parametric scanning by taking the initial thickness range of the optical spacing layer material as a variable, calculating the transmittance and the directional emissivity of the multi-layer film in a middle and far infrared band, and determining the optimal thickness of each layer of film at the same time; and according to the structure of the multi-layer film and the optimal thickness of the multi-layer film, sequentially depositing each layer of film material on the substrate by adopting a magnetron sputtering process to obtain the multi-spectrum compatible camouflage and protection film. The thin film in the scheme has dynamic infrared camouflage, efficient electromagnetic shielding, thermal management performance and mechanical protection performance.