315 results about "Point target" patented technology

Disclosed in the present invention are a UWB-based positioning apparatus and positioning method for a point target of a pointing apparatus. The positioning apparatus comprises a pointing apparatus and a receiving apparatus, wherein UWB antennas are respectively arranged on the pointing apparatus and the receiving apparatus, and an accelerometer and a gyroscope are further arranged on the pointing apparatus. By means of the pointing apparatus and the receiving apparatus, UWB-based positioning is performed to obtain coordinates of the pointing apparatus in a coordinate system in which the receiving apparatus is located; then by means of the accelerometer, a motion vector of the pointing apparatus is obtained, such that a linear equation for a corresponding pointing direction of the pointing apparatus is obtained; and by means of solving an intersection point of the linear equation and a pointing area, coordinates of a pointing point are determined, thereby achieving a design purpose.

The invention provides a settlement detection method and device based on machine vision, belongs to the technical field of underground engineering, and is applied to a settlement monitoring area, a measuring point target is arranged in the area, and a reference point target is arranged outside the area; comprising the steps that S1, a settlement monitoring area is continuously shot, a monitoring image set is obtained, and the monitoring image set covers a monitoring point target arranged in the settlement monitoring area and a reference point target arranged outside the settlement monitoring area; s2, processing the monitoring image set to obtain the relative elevation of each measuring point target; and S3, comparing the relative elevation of each measuring point target with the corresponding initial elevation to obtain the settlement amount of each measuring point target. The beneficial effects are that by arranging the measuring point target and the reference point target, the normal operation of road traffic is not interfered, the road traffic is not easily damaged by rolling of running vehicles, the problem of machine vision wide-area monitoring is solved, and the settlement monitoring area can be monitored more comprehensively and accurately.

The invention provides a three-dimensional tracking method applied to a single-photon laser radar to detect a far-field dynamic unmanned aerial vehicle point target, and belongs to the technical field of laser radar detection and target tracking. The problems that in the prior art, under the long-distance condition, the target imaging size is smaller than one pixel, and a detection and tracking algorithm based on shape, texture or edge features fails are solved. The method comprises the following steps: constructing a six-dimensional state vector containing a three-dimensional position and a three-dimensional speed of a target; predicting a state vector according to a state transfer function containing air resistance and turning acceleration; and an extended Kalman filtering framework is utilized to update the predicted state and obtain state estimation of the target, and the extended Kalman filtering framework comprises a self-adaptive process noise adjustment mechanism based on innovation feedback and is used for adjusting a process noise covariance matrix on line. The method is mainly used in the field of detection and multi-dimensional tracking of airspace moving targets.

The invention relates to the technical field of forest fire prevention, in particular to an infrared image forest fire point early recognition method based on space-time analysis, which comprises four steps of infrared image sequence continuous acquisition, moving target detection, moving target feature analysis and fire point judgment and result generation. Acquiring an infrared image sequence of the forest area by using an infrared sensor carried by an unmanned aerial vehicle or a satellite; differential processing is carried out through a frame difference method, and a moving target is extracted in combination with morphological operation; calculating the distinction degree of the moving target and the background based on the gray features, and screening possible fire point targets; the fire point is regarded as a singular attractor in a dynamic system, a space-time state space is constructed, dynamic characteristics of the space-time state space are analyzed for discrimination, a dynamic system theory and a multi-time-scale analysis framework are innovatively introduced, the early fire point can be accurately recognized, the development trend of the early fire point can be predicted, the recognition accuracy is remarkably improved, and the method is suitable for popularization and application. And a scientific basis is provided for timely intervention.

The invention provides a bistatic communication perception integrated beam forming design method based on interference utilization, which belongs to the technical field of base communication, constructs a bistatic communication perception integrated system, and re-derives a Cramer-Rao bound of point target angle estimation under a bistatic model. 16 QAM constructive interference is introduced into communication and perception integrated beam forming design for the first time, the communication and perception integrated beam forming design is modeled into an optimization problem with an optimization variable being a communication signal beam forming matrix, and a target function of the problem is a Cramer-Rao bound of angle estimation of a point target representing perception performance; the constraints include that the power of a base station transmitting signal must be within a power prediction and the communication user receiving signal constraint satisfying 16QAM constructive interference, and the Cramer-Rao bound of the perception performance is reduced as much as possible on the premise that the communication user side satisfies the constructive interference constraint.

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 discloses an infrared long-distance spatial adjacent target super-resolution method, and the method comprises the steps: S1, analyzing the imaging characteristics of an optical detection system of a long-distance target and the imaging characteristics of multiple spatial adjacent targets, carrying out the imaging modeling of a point target, and generating a simulation image data set; s2, initializing an input simulation image based on linear mapping; s3, adopting a sparse reconstruction algorithm to realize infrared space adjacent target super-resolution modeling, and constructing a deep expansion network framework; s4, enabling the initialized image to sequentially pass through each stage of the deep expansion network; and S5, constructing a GPU training environment, setting a configuration file training model of a data loader, a model and an evaluator, applying the trained model to a test set, generating a high-resolution image, extracting target coordinate information through post-processing, inputting the target coordinate information into the evaluator, obtaining an evaluation index based on an infrared long-distance space adjacent target, and calculating an average detection rate.

The invention relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. According to the method, a reference video sequence is collected to construct a background model database, a real-time video stream data set is obtained, a visual bright spot target is detected, and an average brightness value is calculated as a detection reference threshold value. And a visual bright spot target is analyzed in combination with the background model database, and a potential abnormal bright spot target is identified and marked. And when a potential abnormal bright spot target exists, extracting spatial position information and movement track characteristics of the potential abnormal bright spot target, and judging whether the potential abnormal bright spot target is a real abnormal bright spot target. And after real abnormity is determined, calculating an initial risk assessment value according to the occurrence frequency, extracting morphological contour and size change features, and performing similarity grouping analysis by using a feature matching algorithm. And judging whether a dynamic flicker bright spot target exists or not according to an analysis result, if so, correcting an initial risk assessment value based on a flicker mode characteristic setting adjustment factor, and adjusting subsequent dynamic tracking frame rate setting according to the corrected value.

The invention provides a construction method for multi-point hoisting in-place of a prefabricated part, and belongs to the technical field of building construction.The construction method includes the steps that a plurality of hoisting point positions are marked on the surface of the prefabricated part, a tension sensor and a hydraulic adjusting device are installed, and a laser range finder is used for establishing a part posture parameter model for calibration before hoisting; starting a synchronous hoisting program, calculating a target tension value of each hoisting point according to the attitude model, realizing stable hoisting and horizontal migration through a hydraulic adjusting module, starting an accurate positioning system for fine adjustment when approaching a target position, and executing in-place operation of reducing the tension value by stages; a tension balance optimization equation set including a force balance equation, a moment balance equation and a dynamic adjustment equation is adopted to optimize the control process, and the technical problems of component deformation and safety risks caused by uneven stress of multiple lifting points in the prefabricated component lifting process are solved.

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 an in-frame point cloud-based target post-processing method, system and product. The method comprises the steps of processing point cloud data to determine a target frame and target drivable area points in the target frame; determining a convex hull point set including all the target drivable area points in the frame according to the target drivable area points; determining longitudinal maximum and transverse maximum and minimum convex hull points in the set; the target frame is located on the left side of the vehicle, and a right side convex hull point set is constructed by convex hull points which meet a first condition in the longitudinal maximum convex hull point and the transverse minimum convex hull point in sequence in the frame and the longitudinal distance between the convex hull points and the transverse minimum convex hull point in the longitudinal direction; the target frame is located on the right side of the vehicle, and a left side convex hull point set is constructed by convex hull points which are located in the longitudinal maximum convex hull point and the transverse maximum convex hull point in sequence in the frame and have the longitudinal distance meeting a second condition with the transverse maximum convex hull point; the frame rotates leftwards on the left side of the vehicle, and a right side boundary line is corrected through a right side convex hull point; the frame is arranged on the right side of the vehicle and turns right, and the left-side boundary line is corrected through the left-side convex hull point. The invention aims to improve the accuracy of radar output results.

The utility model relates to the technical field of optoelectronics, in particular to a small photoelectric pod device based on the optical super-resolution technology, which comprises an azimuth base, a pitching frame and a photoelectric mechanism, the pitching frame is arranged on the surface of the bottom end of the azimuth base, and the photoelectric mechanism is arranged on the inner side of the middle of the surface of one side of the pitching frame. According to the device, the nacelle supports seamless switching between daytime work and night work through three kinds of photoelectric equipment, images can be collected remotely, interest point targets can be positioned, and visible light and infrared videos can be output in real time through full-high-definition videos; and unnecessary weight is reduced while strength is guaranteed, so that the pod is smaller in size and lighter in weight compared with products of the same type, light weight is achieved to the maximum extent under the condition that three kinds of optical equipment are carried, the discovery and recognition accuracy of a time-sensitive target can be improved, cost is reduced, and the pod is suitable for popularization and application. And a certain help is also provided for reducing the overall weight.

The invention discloses a key target ship dynamic tracking management method, which comprises the following steps of S1, acquiring marine ship data in a sea area in real time to obtain information and navigation data of each ship; s2, preprocessing the information and data obtained in S1, and removing noise and abnormal values; s3, constructing a risk assessment model, assessing the risk level of each ship inside and outside the region according to a predetermined condition, and taking a high-risk ship as a key target ship; s4, constructing a monitoring and early warning model, monitoring the dynamic behavior of the key target ship in real time, and when an abnormal behavior occurs, triggering early warning and sending an early warning notification to a specified equipment end through a preset communication end; and S5, generating a comprehensive research and judgment report. According to the invention, real-time dynamic tracking of ships is realized, comprehensive, accurate and timely supervision information and research and judgment reports are provided for supervision departments, and the efficiency and accuracy of maritime traffic management and safety supervision are improved.

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 relates to a method for simulating guidance flight of a high-speed mobile platform by mounting an SAR radar on a track system, which comprises the following steps: S0, building a scene model sand table and a guidance flight simulation system which comprises a track system, a servo turntable system and a radar system and is used for simulating the guidance flight process of the high-speed mobile platform; the method comprises the following steps: S1, controlling a servo turntable system to enable a radar system to move along a track system according to a set moving distance and moving speed, and collecting distance-azimuth two-dimensional echo data of a scattering point target on a scene model sand table; s2, performing imaging processing on the distance-azimuth two-dimensional echo data to obtain an echo imaging picture; and S3, carrying out image matching and distance registration on the echo imaging image and a preset prior optical image. According to the invention, the high-simulation-degree simulation flight of the high-speed mobile platform guided by the synthetic aperture radar can be realized.

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 belongs to the technical field of radar signal processing, discloses a plasma sheath multi-order dispersion effect error compensation method, system, equipment, medium and program product based on two-step self-focusing processing, and aims to solve the problem of plasma sheath multi-order dispersion effect error influence of radar in the hypersonic flight vehicle imaging detection process. Obtaining a strong scattering point target in the image through strong point target search, and constructing a dispersion effect error compensation image matrix; based on a maximum contrast self-focusing processing principle and an image focusing theory, iteratively processing and compensating second-order and third-order phase errors of a dispersion effect; outputting an image after the multi-order dispersion effect error compensation, and realizing the accurate compensation of the multi-order dispersion effect error of the target wrapped by the plasma sheath; systems, devices, media for implementing the method, program products including computer programs implementing the method; the method has the characteristics of high dispersion effect error compensation precision, high compensation efficiency, strong adaptability and simple compensation processing steps.

The invention relates to a spatial adjacent infrared small target unmixing method and network, in particular to a multi-frame spatial adjacent infrared small target unmixing method and network based on model and data dual drive, and solves the problem that the prior art cannot meet the detection requirement of an infrared point target of which the target spatial distance is smaller than the Rayleigh radius. The method comprises the following steps: step 1, inputting slice images of S frames; step 2, initialization is carried out; 3, feature extraction is carried out through W times of iteration; step 4, adding the time sequence information into the mapping image after the Wth iteration; 5, sequentially and independently executing the steps a to b on each sequence image according to the sequence that the first frame to the (2N + 1)-th frame, the second frame to the (2N + 2)-th frame,..., the (S-2N)-th frame and the sequence of the sequences of the images after the time sequence information is added; the steps a to b are as follows: step a: convolution; and b, time deformable alignment is carried out, and then tail convolution is carried out.

In some implementations, a target user equipment (UE) may receive, from an initiator UE via an SL interface, a discovery request corresponding to an SL positioning session, wherein the target UE comprises a plurality of transmission / reception points (TRPs). The target UE may determine, from the discovery request, the initiator UE is incapable of associating each TRP of the plurality of TRPs with the target UE. Responsive to determining the initiator UE is incapable of associating each TRP of the plurality of TRPs with the target UE, the target UE may participate in the SL positioning session with the target UE by either: (i) using only one TRP of the plurality of TRPs during the SL positioning session, or (ii) using each TRP of the plurality of TRPs such that each TRP operates as a distinct UE.

The invention provides a blind adaptive space-time detection method and system suitable for a multi-point target scene, and the method comprises the steps: carrying out the filtering, amplification and sampling quantification preprocessing of a plurality of point target echoes in a detection sector, and carrying out the modeling of the obtained echo data; introducing hidden random variables representing a receiving sample unit where a target is located and arrival angle information, and establishing a multi-target echo probability density function under an EM classification framework by using an LVM method; solving a log-likelihood function of a receiving data matrix by utilizing EM optimization iteration to obtain loop optimization estimation expressions of unknown parameters in the step E and the step M, and estimating the positions of multiple targets in a receiving sample unit, the angles of arrival of the multiple targets and the number of the targets; and according to a generalized likelihood ratio detection formula, obtaining independent estimation of each target arrival angle. The method has the advantages that the calculation complexity caused by angle traversal is reduced, the method does not need to depend on steering vector prior information, and the method has higher environmental suitability and robustness.

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 invention discloses an optical image point target lightweight detection method, which utilizes a single-layer attention module to carry out point target position and confidence prediction on sparse space points on an image, and reduces two indexes of network parameter quantity and floating point operation times by 3-4 orders of magnitude compared with a current common target detection network. And the method has a relatively great application value on a satellite-borne or airborne information processing platform with limited computing resources. The thermal infrared satellite image civil aircraft detection task verifies that the method can effectively detect the dark point-shaped civil aircraft. According to the method, a deformable attention mechanism based on space sparse sampling is adopted, the calculation process is further optimized, and attention feature calculation is achieved with a small calculation amount.

The invention discloses a trace calculation method based on tiny target identification and tracking and a storage medium. The trace calculation method comprises the following steps: extracting an original image of a target video as input, performing image processing, improving the quality of a target video image by adopting a background-based adaptive prediction algorithm, and comparing with the input original image to obtain a target detection image; the target detection image is input into a target extraction algorithm module, a connected domain marking algorithm is adopted to separate motion and noisy point targets, a distribution area is determined, and a feature image is output; tracking and positioning the feature image, calculating by adopting a centroid positioning algorithm, and outputting a centroid coordinate and a pixel gray value of the target; and filtering static noisy points in the video image through threshold segmentation, performing trajectory prediction and calculation on a moving target based on a Kalman filtering method, and outputting the trajectory of the moving target in an image plane coordinate system. The method has higher trajectory calculation precision and calculation speed, and can be used in the field of motion trajectory prediction of small targets such as unmanned aerial vehicles.

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.

A low-light super-resolution imaging method for a moving target comprises the following steps: carrying out continuous frame imaging on a ground scene by adopting a space-based remote sensing low-light area-array camera with a micro-scanning super-resolution imaging mode; carrying out pixel merging on the obtained continuous frame images to obtain a down-sampling image with an improved signal-to-noise ratio; performing point target detection, target positioning and motion information extraction on the obtained downsampling image, and calculating to obtain target coordinate information; mapping the target coordinates to an image with an original resolution according to a coordinate corresponding relation, and extracting an image slice containing a moving target according to a set neighborhood value; performing fine matching of a local area by using the obtained image slices of each frame to obtain a sub-pixel displacement matrix; and taking the obtained sub-pixel displacement matrix as prior input, and performing image reconstruction on the multi-frame image slices to obtain a super-resolution imaging result.

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.

The invention discloses a millimeter wave detection method based on a near-field target echo characteristic representation model. According to the method, ground electromagnetic scattering characteristics of a detection range are analyzed, electromagnetic scattering coefficients are analyzed by using a random rough surface, a ground electromagnetic scattering model is established, a geometrical relationship model of a detector and the ground is constructed, scattering units are divided from an equal slope distance angle, and finally echoes of the scattering units are superposed. Deriving a representation model of the echo characteristics of the surface target; model construction is more rigorous, errors caused by approximately neglecting echo signals as point target echo signals are avoided, and comprehensiveness and reliability of effective information features in an echo signal model are improved; millimeter wave detection is carried out based on the model, the detection precision and efficiency are effectively improved, and the accuracy of detection result analysis is improved.

The invention discloses a spatial point target luminosity space-based quantitative measurement method and a spatial point target luminosity space-based quantitative measurement device, which solve the problem of how to improve the efficiency and the precision of spatial point target luminosity space-based quantitative measurement. Belongs to the photoelectric detection field. Comprising the following steps: performing non-uniform correction and bilateral filtering denoising on an original image to obtain a preprocessed image; estimating a dark field value of the preprocessed image as a background gray value by adopting a mode method; if a point target is detected in the preprocessed image, performing photometric aperture calculation to obtain a photometric aperture when the optical signal-to-noise ratio is maximum, otherwise, directly feeding back invalid information; inputting a photometric aperture parameter into the calibration response relation function, and calculating an inversion photometric value of the point target; and according to the point target luminosity value error model or the point target luminosity value error transmission model, calculating a star magnitude error or a star magnitude standard deviation, and verifying the space point target luminosity space-based quantitative measurement precision. According to the invention, the spatial point target photometric measurement efficiency and precision are improved.