112 results about "Point target" patented technology

The invention relates to the technical field of deep foundation pit monitoring, and discloses a deep foundation pit micro-deformation InSAR remote sensing method and system and a storage medium. The method comprises the following steps: synchronously acquiring data through a ground radar and an InSAR satellite, and obtaining a point target set and an original scattering characteristic sequence; obtaining a net deformation phase sequence without influence through registration residual correction, phase deduction and weighted fusion processing, and carrying out phase consistency quality control and unwrapping processing to obtain an accumulated deformation quantity sequence; constructing a deformation mechanism correlation characteristic matrix based on correlation analysis of the cumulative deformation quantity sequence and radar reflection intensity amplitude attenuation characteristics; and fusing the deformation mechanism correlation feature matrix and the real-time differential interference image group, extracting deformation rate and phase gradient change, and further generating a deep foundation pit local micro-deformation risk early warning index set. According to the invention, the tiny deformation of the surrounding area of the foundation pit can be effectively detected, potential risks are warned in advance, and the safety and monitoring efficiency in the construction process are improved.

The invention provides an air motion weak point target detection method and system based on an infrared sequence image. The method comprises the following steps: obtaining an infrared sequence image with at least one moving target; the infrared sequence image comprises frame radiation intensity diagrams with continuous time, and the frame radiation intensity diagrams are positive integers greater than 1; processing the frame radiation intensity graph to obtain a frame difference mean value graph; calculating to obtain an optimal segmentation threshold value through a maximum between-class variance method by utilizing the difference mean value diagram; taking the optimal segmentation threshold as a threshold, and performing binarization processing on each differential mean image to obtain a frame candidate point binary image; in the candidate point binary image, a pixel point with a pixel value of 1 is a target position candidate point; adding all the candidate point binary images to obtain a candidate point aggregation image with all the target position candidate points; and obtaining a linear motion track of each moving target based on the target position candidate points in the candidate point aggregation graph.

The invention provides a bistatic synthetic aperture radar track planning method and system based on structure driving, and relates to the technical field of radar track planning, and the method comprises the steps: building a BiSAR echo model based on a target scattering model; analyzing the imaging characteristics of the target under different configurations, and revealing the constraint relationship between the target structure representation and the configuration; constructing a structure-driven multi-stage trajectory planning model based on the constraint relationship between the target structure representation and the configuration; the trajectory optimization is modeled as a multi-objective optimization problem; through a non-dominated sorting genetic algorithm based on target scattering characteristic driving, a multi-target optimization problem is solved so as to plan a platform track in each stage. According to the method, the limitation of a point target model in an existing trajectory planning method can be broken through, all main lobe observation configurations capable of presenting target structure information are optimized, the retention degree of the target structure information in a BiSAR imaging result is effectively improved, and the interpretability of the image is remarkably enhanced.

The invention discloses a cross-sensor long-time-sequence InSAR deformation monitoring method and device, a medium and a product, and relates to the field of synthetic aperture radar interferometry, the method comprises the following steps: obtaining image data sets of a plurality of SAR sensors in a monitoring area, and sequentially carrying out differential interference and time sequence deformation calculation to obtain an LOS direction deformation result; geocoding all results to unify a coordinate system; screening high-coherence point targets and constructing an observation geometry unified analysis model; time information is obtained by combining the images, and a long-time-sequence earth surface deformation resolving function model after observation geometric correction is established; and further introducing a truncated singular value decomposition operator, constructing a cross-sensor long-time-sequence deformation resolving analysis model, and finally resolving to obtain a high-precision and long-time-span earth surface deformation product in the monitoring area. According to the method, the problems of rank deficiency and solution failure caused by time shortage and observation geometric difference in multi-platform InSAR data joint solution are effectively solved, and the precision and applicability of long-time-sequence deformation monitoring are remarkably improved.

A first access point (AP) transmits to a second AP a first frame requesting first restricted target wake time (R-TWT) information of the second AP based on not receiving a beacon frame of the second AP within a first period from a target beacon transmission time (TBTT) of the second AP. The first AP receives from the second AP a second frame comprising the first R-TWT information of the second AP in response to the first frame.

The invention relates to the technical field of radars, in particular to a weather radar distance resolution calibration method and system. The method comprises the following steps: collecting oversampling original baseband I / Q data of a point target in a plurality of continuous pulse periods; determining a pulse signal-to-noise ratio, and screening out effective pulses according to a threshold value; carrying out sub-sampling stage time alignment on the effective pulses based on cross-correlation analysis, and carrying out incoherent averaging on power module values of all the aligned pulses to generate an average pulse power envelope; converting the average pulse power envelope to a logarithm domain, and selecting discrete data points in a main lobe region; according to the discrete data points, a nonlinear least square method is adopted to carry out iterative fitting on the generalized Gaussian mathematical model, and a continuous analytic function describing the pulse envelope is obtained; according to the continuous analytic function, determining a pulse time width when the power is reduced to a peak value of-6dB; and determining the real distance resolution according to the pulse time width. The measurement robustness is improved, and sub-meter calibration precision is achieved.

The application discloses an infrared long-distance space adjacent target super-resolution method, wherein the method comprises the following steps: S1, analyzing the imaging characteristics of a long-distance target optical detection system and the imaging characteristics of space adjacent multiple targets, modeling point target imaging, and generating a simulation image dataset; S2, initializing the input simulation image based on linear mapping; S3, realizing infrared space adjacent target super-resolution modeling by adopting a sparse reconstruction algorithm, and constructing a deep unfolding network framework; S4, sequentially passing the initialized image through each stage of the deep unfolding network; S5, constructing a GPU training environment, setting a data loader, a model and an evaluator configuration file, training the model, applying the trained model to a test set, generating a high-resolution image, extracting target coordinate information by post-processing and inputting the target coordinate information into the evaluator, obtaining evaluation indexes based on infrared long-distance space adjacent targets, and calculating an average detection rate.

The invention relates to the technical field of thunder and lightning mode recognition, and discloses a thunder and lightning intelligent target early warning method and system for a local key target, and the method comprises the steps: collecting target feature description, estimating storm motion information based on lightning positioning data and radar echo images at continuous moments, and carrying out the recognition of a thunder and lightning mode. And generating a risk corridor in the upstream direction of each target area, and forming a target area around the target area in combination with the risk corridor. Unified spatio-temporal data is obtained, spatio-temporal feature extraction is carried out to obtain storm features, cross-modal correlation selection and weighting are carried out on the storm features with target feature description as a drive, and target features are constructed. And generating an early warning result in a predetermined time window according to the target feature. And when the thunder risk probability reaches an early warning threshold and the spatial risk distribution intersects with the buffer range of the target area, generating targeted early warning information. According to the invention, thunder and lightning targeted early warning is realized, the hit rate is improved, and false alarms are reduced.

A space-based optical space target detection method fusing track information comprises the following steps: acquiring an image spot position of a point target in a star map of a current position by using a space-based optical camera, and determining a candidate target set according to different motion characteristics of a fixed star and a space target; determining the center-of-mass coordinate and pixel range of the candidate target under the image plane coordinate system according to the orientation of the optical camera, converting the center-of-mass coordinate and pixel range into the sight angle and range under the satellite body coordinate system, carrying out inter-frame trajectory association on the obtained star map sequence, updating the space target library according to trajectory information, and outputting a space target detection result. And repeating the steps to traverse all star maps.

The invention discloses a synthetic aperture radiometer darkroom phase calibration method and device. The method comprises the following steps: installing a synthetic aperture radiometer and a point target emission source in a microwave anechoic chamber; in the first-stage test, unit antenna output ports are connected with equal-length test cables and connected to a microwave test instrument, a synthetic aperture radiometer is set to be in an antenna observation mode, and a point target observation unit antenna phase difference test is carried out; in the second-stage test, the output end of the unit antenna is connected with each receiving channel of the synthetic aperture radiometer, the synthetic aperture radiometer is set to be in an antenna observation mode, and a point target observation full-system phase difference test is carried out; in the third stage of testing, the synthetic aperture radiometer is set to be in a common noise injection calibration mode, and common noise injection calibration is carried out; and calculating and counteracting a near field effect phase difference, a unit antenna phase difference and a receiver channel phase difference to obtain an accurate noise distribution network phase difference parameter. Darkroom phase calibration is achieved under the near-field condition, the result is accurate, and the method is simple, convenient and practical.

The application provides a point target wide-area high-precision positioning method, device and equipment combined with imaging model fine and coarse calibration, relates to the technical field of optical imaging precision measurement, and aims to realize point target wide-area high-precision positioning. The method comprises the following steps: collecting point target images located at different sub-pixel positions, calibrating the PSF of a first pixel on an image detector to obtain a reference PSF model; mapping the reference PSF model to a second pixel and fitting the imaging data of the second pixel to obtain an extended PSF model; wherein the extended PSF model represents the pixel response values corresponding to different positions of the center of the image spot from the center of the pixel; and positioning the wide-area point target images collected by the image detector by using the extended PSF model and the maximum likelihood method to obtain a positioning result.

The invention discloses a three-dimensional sonar phase self-correction method, and relates to the technical field of underwater acoustic engineering and array signal process.The method comprises the steps that a three-dimensional sonar image is generated through sonar original multi-channel signals, a plurality of strong display point targets which can be separated from the three-dimensional sonar image are extracted, and the signal-to-noise ratio of the strong display point targets is higher than a threshold value; sound path distance difference phase compensation is carried out on echo signals of each strong display point target, a channel common phase deviation is estimated by using a compensated residual complex signal, then an image entropy and a target peak value are set as convergence criteria, the criteria are deeply combined with an iterative reweighting mechanism, step-by-step optimization is carried out to obtain the phase deviation estimation precision, and the estimation precision of the channel common phase deviation is improved. And finally, obtaining an optimal inherent phase deviation, and carrying out global phase correction on the multi-channel echo signal by using the optimal inherent phase deviation. According to the invention, real-time online self-correction can be realized, the problem of imaging blur caused by phase inconsistency between channels is effectively compensated, and the contrast ratio of three-dimensional sonar imaging and the target visualization quality are remarkably improved.

This invention discloses an automatic calibration method for airborne lidar placement deviation based on voxel sharpness. The method includes: selecting a natural calibration site containing building facades, linear markers, and point targets; collecting point cloud and POS data via a UAV flying in multiple headings; modeling the placement deviation to be calibrated using six parameters; optimizing the parameters using a genetic algorithm; using voxel sharpness as the fitness function; voxelizing the point cloud in the region of interest; counting the number of points within each voxel and calculating the sharpness score; a higher sharpness score indicates a more pronounced clustering of point clouds in the feature region; and iteratively optimizing the method through selection, crossover, and mutation operations to output the optimal placement deviation parameters. This invention uses an ordinary basketball court as a natural calibration site, eliminating the need for artificial targets. After calibration, the point cloud sharpness is improved by more than 150%, and the positioning accuracy reaches the centimeter level.

The invention discloses a cold background point target application-oriented infrared detector test evaluation method, which comprises the following steps of: according to radiation characteristics of an actual background and a target, camera parameters and infrared detector test system parameters, enabling a cold background and a cold background superposition point target to be equivalent to a surface source black body temperature tested by an infrared detector; and the performance of the infrared detector is tested and evaluated in the cold background infrared detector test cold cabin. The cold cabin is connected with the focal plane refrigeration and temperature measurement and control module, the black body refrigeration and temperature measurement and control module, the acquisition module and the vacuum pump, and can provide high-vacuum low-background test conditions for extremely low dark current and various photoelectric properties of the high-sensitivity infrared detector. The infrared detector performance parameters obtained by the method can provide test data support for actual performance evaluation of the cold background point target detection camera.

A target path changing system for an accessory device is provided, which can improve work efficiency of an operation to change a target path of a specific portion of the accessory device. An object point selection unit (15) is configured to allow an operator to select one of target points (72) as a change object point (73). A range setting unit (15) is configured to set a movable range (E) in which the change object point (73) is movable. An object point moving unit (15) allows the operator to move the change object point (73) within the movable range (E). A target path resetting unit (15) is configured to reset the target path (71a) between a change start point (74) and a change end point (75) so that the target path (71) passes through a post-change object point (73a).

The application provides a wide-area infrared point target detection tracking cooperative satellite system, which comprises a camera subsystem, a target processing subsystem, a task planning subsystem, an intersatellite network subsystem, an imaging quality guarantee subsystem and a light shield subsystem; the camera subsystem is used for imaging infrared point targets in a wide-area range to generate a wide-area monitoring range image containing weak infrared radiation targets; the target processing subsystem extracts two-dimensional plane coordinates of the targets from the infrared image, generates three-dimensional positions and speeds of the targets, and reasonably distributes different targets to different satellites for data fusion; the task planning subsystem calculates orbit positions and observation capabilities of other cooperative satellites according to the three-dimensional positions of the targets, and performs observation task planning on the other cooperative satellites; the intersatellite network subsystem is responsible for receiving two-dimensional angular trajectories provided by other satellites, providing the two-dimensional angular trajectories to the target processing subsystem, and sending information such as cooperative planning generated by the task planning subsystem to other satellites.

The application provides a modeling method for a center track of a point target trail image of a camera. The method first integrates three-axis angular velocities of the camera into a total angular velocity vector; constructs a cone with a unit vector of the total angular velocity as a main axis, and a point target incident light ray sweeps around the main axis to form a conical surface; establishes a conic surface equation of the conical surface; establishes an image array plane equation in a same reference coordinate system as that of the angular velocity unit vector; and obtains an intersection line equation of the conic surface and the image array plane, which is a center track of the point target trail image of the point target. According to different distribution conditions of a point target line-of-sight direction and an angular velocity vector direction relative to the camera, possible dynamic trail tracks are listed as four kinds of geometric descriptions, i.e., a circular arc, a trail circular arc, a parabola and a hyperbola. The application correctly reveals a geometric mechanism of the trail track, the model is complete in an analytical form, and theoretically solves an accurate modeling problem of the point target trail image track under a dynamic imaging working condition.

This invention discloses a target simulation trajectory generation method for verifying dual-band infrared passive ranging technology. The method first simplifies the target into a Lambertian cylindrical model and sets a uniform straight-line flight path. Then, it calculates the critical distance at which the target is identified as a "point target" and an "area target." Next, through iterative calculations, it sequentially solves for the target's azimuth, pitch, actual distance, projected area, number of image pixels, radiation intensity, and image grayscale value in each simulation cycle, until the target completes its entire flight path. Finally, it outputs a dataset containing the target's actual distance, projected area, number of pixels, and grayscale value at the end of each cycle for algorithm verification of dual-band infrared passive ranging technology. This invention replaces field testing with fully digital simulation, enabling efficient and low-cost generation of high-precision verification data, and solving the problem of dependence on real targets and complex hardware systems in the R&D and verification phase of dual-band infrared passive ranging technology.

The application discloses a heterogeneous networked radar space registration method based on adaptive grid reconstruction, which comprises the following steps: 1, constructing a radar network system model, presetting related parameters of the radar network system, and initializing the related parameters; 2, obtaining a space sampling unit association group of each grid, and merging grids with the same space sampling unit association group into a reconstructed overlapping area; 3, obtaining a space sampling unit association group of each reconstructed overlapping area, and forming a set; according to the set, an average registration rate of a plurality of randomly distributed point targets is obtained, and a local mismatch rate of each radar station and other radar stations is obtained; if the average registration rate is greater than or equal to a preset average registration rate threshold value, and the local mismatch rate is less than or equal to a preset local mismatch rate threshold value, the optimal grid side length is determined; 4, obtaining a calibration point of the reconstructed overlapping area corresponding to the optimal grid side length. The application effectively improves the registration accuracy.

The invention discloses a high-orbit multi-source point target cross-domain fusion method based on modal characteristic distillation, and relates to the technical field of modern aerospace monitoring. The method comprises the following steps: extracting invariance features related to target essential attributes from visible light, infrared and radar data through a teacher network, and fusing the invariance features to generate teacher knowledge vectors; and taking the teacher knowledge vector as an optimization target of a student network, and performing iterative optimization by adopting a composite loss function including knowledge distillation loss, physical attribute loss, modal alignment loss and task loss, thereby realizing accurate identification of a point target. Through the feature extraction and knowledge distillation mechanism guided by physical constraints, the problem of feature heterogeneity among multi-modal data is effectively solved, the recognition accuracy and tracking stability of point targets such as space debris in a complex space environment are improved, meanwhile, the model is lightweight and efficient, and the on-orbit real-time processing requirement is met.

The embodiment of the invention provides a method for executing target transformation and acceleration hardware. The target transformation is decomposed into n11-point target transformation, n12-point target transformation, n21-point target transformation and n22-point target transformation, and the acceleration hardware comprises a first transposition unit which comprises a first transposition module, a second transposition module, a third transposition module, a fourth transposition module and a first data exchange module. The method comprises the steps that a first matrix with the dimension of n2 * n1 is halved along rows and columns, a first matrix block, a second matrix block, a third matrix block and a fourth matrix block are obtained, n1 is the product of n11 and n12, n2 is the product of n21 and n22, and the product of n1 and n2 is N; the first to fourth transposition modules receive the data of the first to fourth matrix blocks in parallel respectively, and transpose the first to fourth matrix blocks in parallel respectively to obtain transposed first to fourth matrix blocks; and the first data exchange module performs data exchange on the transposed second matrix block and the transposed third matrix block to obtain a transposed first matrix, and the second matrix block and the third matrix block are located at the upper right corner and the lower left corner of the first matrix respectively.

A first access point (AP) transmits to a second AP a first frame requesting first restricted target wake time (R-TWT) information of the second AP based on not receiving a beacon frame of the second AP within a first period from a target beacon transmission time (TBTT) of the second AP. The first AP receives from the second AP a second frame comprising the first R-TWT information of the second AP in response to the first frame.

The application discloses a security check image acquisition method and device, a security check system and a storage medium, relates to the field of active millimeter wave human body security check technology, and can acquire high-quality millimeter wave human body security check images in real time. The method comprises the following steps: constructing target space distribution information of a target object surface contour according to distance information of a plurality of reflection points obtained by detecting the target object by using a ranging sensor; wherein the plurality of reflection points comprise points on the target object surface; determining a target amplitude value of a target position point in the target space distribution information according to echo signals obtained by detecting the target object by using a millimeter wave scanning array; the target position point is a point in a two-dimensional plane parallel to a scanning plane of the millimeter wave scanning array; the target amplitude value is used for representing scattering intensity of the target position point to electromagnetic waves emitted by the millimeter wave scanning array; and determining a two-dimensional image of the target object according to the target space distribution information and the target amplitude value.

A method for predicting and analyzing the real-time image transmission capability of remote sensing satellite point targets belongs to the field of satellite mission planning and data transmission technology. Without relying on third-party simulation software, it achieves automated analysis of the real-time image transmission capability of point targets through geometric analysis under imaging attitude and joint determination of time windows. It is used to automatically determine whether a ground point target meets the condition of "real-time image transmission after imaging" under the condition that the satellite imaging attitude is not adjusted, comprehensively considering the satellite imaging attitude, phased array antenna beam scanning angle limitations, and imaging-to-data transmission time constraints. This avoids reliance on manual simulation and calculation, improving analysis efficiency and accuracy.

The invention discloses a novel intermediate-frequency radar wind field abrupt change suppression method based on antenna contribution values, and relates to the technical field of intermediate-frequency radar signal processing and atmospheric exploration, and the method comprises the steps: employing echo signals collected by at least three antenna SA systems or a correlation function obtained through calculation to obtain an autocorrelation function ACF and a cross-correlation function CCF; and calculating a calibrated cross-correlation function (CCF) 'for FCA inversion in cooperation with the antenna array configuration data and the empirical error threshold. According to the method, through an improved calibration mechanism, for data whose deviation does not exceed a threshold value, according to a theoretical value, a cross-correlation function zero lag point target value is reversely deduced and is matched with a current zero lag point, the amplitude / correlation of the cross-correlation function is calibrated, and the calibrated cross-correlation function is output to improve the accuracy and stability of FCA inversion.

The present application belongs to the field of underwater acoustic signal processing, and particularly relates to a method for simulating echo of active sonar target. Firstly, the sonar transmitting signal is generated according to the sonar transmitting parameters. By setting the initial azimuth and distance of the target and the speed and course of the target and the ship, the azimuth and distance of the target relative to the ship, the attitude angle and the radial velocity at the echo time are calculated. Then, the echo intensity of the target received by the sonar is analyzed through the sonar transmitting mode, the transmitting power, the underwater acoustic propagation loss and the target type, and the echo signal amplitude is calculated according to the element sensitivity, the attenuator attenuation multiple and the DA bit number. Then, the multi-bright-point target model is established according to the target type and the azimuth, distance and attitude information of the target. The present application realizes the echo simulation of various target types of active sonar, and can effectively carry out the training and verification work of underwater target detection and target identification, and has certain practical and economic value.

This invention discloses an early forest fire identification method and system based on an improved YOLOv8, relating to the fields of image recognition and forest fire prevention technology. Addressing the problems of low detection accuracy and high false positive and false negative rates caused by the extremely small size of early fire targets and weak smoke features from the perspective of UAV remote sensing, this invention provides a fire detection model. The method improves upon the basic YOLOv8 network architecture by: constructing a dual-detector collaborative architecture; optimizing the detection performance of smoke features and small fire point features through differentiated processing strategies; embedding a multi-window differential attention module (MWDAM) into the feature extraction network to suppress complex background interference and enhance the expression of weak target features; and introducing dilated convolution into the backbone network to expand the receptive field and improve the model's contextual awareness of early weak smoke and small fire targets. This invention effectively improves the detection accuracy of early forest fire targets and provides a reliable technical solution for high-precision intelligent monitoring on UAV platforms.

The invention relates to a multi-beam data screening optimization processing method based on image sonar. Aiming at the problems of weak target signal annihilation and insufficient image sharpness caused by a traditional arithmetic average method, the method adopts a maximum value screening strategy to carry out multi-beam data fusion. The method comprises the following specific steps: carrying out preprocessing and TVG compensation on sonar original echo data; obtaining a plurality of beam data through parallel beam forming; for each distance unit, traversing and comparing the signal intensity of all beams, and selecting the maximum value as the final pixel value of the unit; and then median filtering noise reduction and configurable point picking processing are carried out. According to the method, the detection probability of a weak target and a point target can be remarkably improved, a sonar image with high contrast and high sharpness is generated, and meanwhile, different detection tasks are flexibly adapted by integrating multiple fusion and point selection modes. The method is efficient in calculation, is easy to realize on embedded platforms such as a DSP (Digital Signal Processor), an FPGA (Field Programmable Gate Array) and the like, and has good engineering application value.

The invention provides a laser radar target echo generation device, and relates to the technical field of laser radar target characteristic digital simulation and high repetition frequency narrow pulse laser echo regeneration. According to the device, through a laser radar body target echo simulation system, a body target simulation model matched with a body target is screened out from a typical target model library; performing multi-channel optical characteristic simulation on the body target by using the laser radar, and generating body target echo simulation data of the laser radar on the typical target under different rendezvous conditions; the laser radar body target echo generation module is used for carrying out pulse echo detection of which the half bandwidth is in a nanosecond level according to the body target echo simulation data; a pulse current signal is converted into an electric pulse signal in an undistorted manner, the electric pulse signal is converted into an optical pulse signal in an undistorted manner, and the optical pulse power in a single pulse is modulated in real time. The problems that the target echo generated by the existing laser radar point target echo generation device is simple in characteristic and the real characteristic of the echo is difficult to simulate are solved.

The invention belongs to the technical field of radar and communication signal processing, and particularly relates to a method for synthesizing a broadband detection waveform by using segmented communication signals. The method comprises the steps of setting sub-waveform parameters and analyzing communication performance, then performing segmented frequency shift superposition on sub-waveforms in a time domain to obtain broadband detection waveforms, performing spectrum analysis, finally performing simulation to obtain echoes of a point target, and performing pulse compression and demodulation processing. According to the invention, overlapping of adjacent frequency bands is controlled through segmented splicing, so that the spectrum utilization efficiency is improved; a final result shows that the waveform designed by the method can meet the performance requirements of communication and detection, and the purposes of communication and detection are achieved at the same time.