1933 results about "Geodesy" patented technology

The invention discloses a Doppler and pseudo-range fusion positioning method and system for low-orbit satellite conduction signals, and relates to satellite positioning. The method comprises the steps that a Doppler and pseudo-range observation equation is established; performing least square residual calculation on the calculated Doppler and pseudo-range theoretical values and the observed Doppler and pseudo-range measured values, and taking a grid center point coordinate corresponding to a two-norm minimum value as a receiver position initial value; performing Taylor series expansion on the Doppler and pseudo-range observation equation, and representing a state updating matrix by using the established state transition matrix and receiver position, clock error and frequency offset correction; the inverse matrix of the observation noise covariance is used as a weight matrix to be distributed to the state transition matrix; and iterating the initial position value of the receiver, updating the state updating matrix, and stopping iteration until the two-norm of the residual solution is smaller than a set threshold value, so as to obtain the position, clock error and frequency offset results of the receiver. According to the method, the low-orbit satellite positioning algorithm model can be optimized, the convergence time is shortened, and the positioning precision is improved.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) and GNSS (Global Navigation Satellite System) robust adaptive fusion method for high-precision three-dimensional surface deformation monitoring, which belongs to the technical field of space geodetic survey and remote sensing, and comprises the following steps of: constructing a time sequence deformation field based on a small baseline set time sequence InSAR processing technology, and resampling GNSS observation data to a grid consistent with the InSAR by using Kriging spatial interpolation; a Helmert variance component estimation method is adopted to adaptively estimate variance components of InSAR and GNSS data, and reasonable weight fixing of a multi-source observation value is achieved; iterative reweighted least square estimation is introduced, outlier influences in various observation data are dynamically restrained through a Tukey double-weight function, robust optimization of a fusion model is achieved, and therefore a high-precision three-dimensional deformation field is reconstructed. The method comprises the steps of Helmert weight fixing, IRLS robust, variance component updating and a closed-loop feedback mechanism of weight matrix optimization.

The invention discloses a PPP-RTK time delay processing method and device in conversion from SSR to OSR, and relates to the technical field of global navigation satellite system positioning, and the method comprises the steps: converting orbit, clock error, ionosphere and troposphere delay SSR parameters provided by a server into OSR virtual observation values through geometric distance calculation and projection function mapping; based on a constant velocity model and a static random process, predicting a correction amount of a future moment, and correcting an OSR virtual observation value through state transition matrix compensation time delay; combining server side parameters and user side observation data, recursively generating an error covariance matrix, dynamically adjusting a state prediction weight, and obtaining covariance information through adaptive filtering optimization positioning calculation; and realizing ambiguity rapid fixation and centimeter-level positioning by using the corrected OSR observation value and covariance information. According to the method, real-time centimeter-level positioning in a high-delay scene is realized through a dynamic correction value prediction method and a recursive covariance estimation method.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) deformation inversion method for lifting rail offset correction, and mainly relates to the technical field of surface deformation monitoring. In order to solve the problem that the deformation monitoring quantity of the existing multi-dimensional small baseline set formed aperture radar interference is obviously lower than the actual deformation quantity, a time sequence deformation observation equation is established by using multi-orbit synthetic aperture radar data, an ascending-orbit small baseline set InSAR settlement monitoring point cloud and a descending-orbit small baseline set InSAR settlement monitoring point cloud are calculated respectively, point cloud registration is carried out, and the settlement monitoring point cloud of the ascending-orbit small baseline set InSAR settlement monitoring point cloud is calculated to obtain the settlement monitoring point cloud of the descending-orbit small baseline set InSAR settlement monitoring point cloud. Calculating the offset of the monitoring result of the lifting rail in the vertical, east-west and south-north directions; calculating to obtain an ascending orbit incidence angle correction number and a descending orbit incidence angle correction number of the synthetic aperture radar image by using the offsets of the ascending orbit monitoring result in the vertical direction, the east-west direction and the south-north direction; and finally, constructing a multi-dimensional small baseline set InSAR deformation inversion model containing lifting rail offset correction, solving to obtain a corrected deformation monitoring quantity, and improving the deformation monitoring precision.

The invention provides a global magnetic disturbance compensation method in aviation magnetic survey. The method comprises the following steps: S1, performing high-altitude calibration flight through a motion platform, and acquiring total magnetic field data based on detection data of an optical pump magnetometer; s2, obtaining geomagnetic background gradient information and obtaining geomagnetic field data based on the geomagnetic background gradient information; s3, obtaining motion platform magnetic interference data according to the total magnetic field data and the geomagnetic field data; s4, motion platform attitude information, motion platform current information and fluxgate magnetometer detection data are acquired; s5, obtaining a motion platform magnetic interference coefficient according to the motion platform magnetic interference data, the motion platform attitude information, the motion platform current information and the fluxgate magnetometer detection data; and S6, according to the geomagnetic background gradient information and the motion platform magnetic interference coefficient, performing data compensation on the total magnetic field data in real time during actual aviation magnetic measurement.

The invention relates to the technical field of coal mine goaf exploration, in particular to a goaf combined detection and identification method fusing gravity, earthquake and transient electromagnetism, which comprises the following steps of: (1) arranging an earthquake, transient electromagnetism and gravity method combined observation system according to a detection geological task and a field condition of a coal goaf; (2) seismic data, transient electromagnetic data and gravity data are collected through the combined observation system; (3) performing independent inversion on the gravity data, the transient electromagnetic data and the seismic data to obtain density distribution, resistivity distribution and wave velocity distribution of the goaf; (4) carrying out a joint inversion method based on improved cross gradient seismic data, transient electromagnetic data and gravity data; (5) obtaining a joint inversion resistivity profile map, a joint inversion wave velocity profile map and a joint inversion density profile map of the goaf through joint inversion of the seismic data, the transient electromagnetic data and the gravity data of the goaf; and identifying development characteristics of the goaf.

The invention provides an ocean buoy data real-time acquisition method based on low earth orbit satellite communication, and belongs to the technical field of electrical digital data processing.The ocean buoy data real-time acquisition method comprises the steps that firstly, a low earth orbit satellite network communication link is built, data characteristics are analyzed through a compression conversion gain index model, and a low earth orbit satellite network communication link is established; and establishing a multi-stage compression mechanism. The system adopts an optimization equation set to dynamically adjust compression parameters, the optimization equation set comprises a resource consumption equation, a compression quality equation and a transmission efficiency equation, and self-adaptive compression of data is achieved. And meanwhile, through a hierarchical algorithm selection mechanism and a parameter optimization strategy and in combination with real-time feedback control, continuous optimization of the compression efficiency is ensured. According to the compression scheme based on multi-level optimization, the technical problem of low compression efficiency caused by poor algorithm adaptability in the ocean buoy data compression process in the prior art is effectively solved.

The invention discloses a millimeter wave radar and range finder golf sports monitoring system and method and a medium, and relates to the field of sports monitoring, the system comprises a handheld integrated terminal, a laser ranging module, a millimeter wave radar module, a processing unit and a display unit are integrated in the handheld integrated terminal, and a first communication module is connected with the processing unit; the data interaction module is used for performing data interaction with an external mobile terminal; the mobile terminal comprises a second communication module, a trajectory prediction module and a recommendation decision module, and is used for comparing the predicted flight trajectory with a target trajectory preset by a user and generating a swing suggestion in a training mode; and in the motion mode, the central processing unit is used for planning and recommending a ball hitting strategy based on the expected drop point distance input by the user and the real-time environment data measured by the handheld integrated terminal in combination with historical training data of the user. According to the invention, accurate monitoring and dynamic analysis of the golf ball flight path are realized.

To eliminate the influence of station position fluctuations in a satellite navigation system. [Solution] In satellite navigation systems, including the US GPS and Japan's Quasi-Zenith Satellite System, when multiple reference stations are installed to form a wide-area differential correction system (WADGPS), previously, position errors caused by fluctuations in station position would remain in the position information calculated by the user receiver.However, by adding a correction amount to the correction information provided by WADGPS in advance to cancel this, the position errors caused by fluctuations in station position at the user station can be reduced without changing the calculation processing content at the WADGPS user station, thereby improving the accuracy of the position information calculated by the user station.

The invention is suitable for the technical field of aeromagnetic data processing, and provides an aeromagnetic data compensation method and system for a multi-rotor unmanned aerial vehicle, and the method comprises the following steps: obtaining the aeromagnetic data of the multi-rotor unmanned aerial vehicle; the aeromagnetic data comprises three-component fluxgate data; determining total geomagnetic field data according to the three-component fluxgate data; according to the three-component fluxgate data and the total geomagnetic field data, calculating to obtain a direction cosine matrix; based on a preset PINN neural network, taking the direction cosine matrix and the total geomagnetic field data as input values, and outputting a magnetic interference prediction value; and compensating the aeromagnetic data according to the magnetic interference predicted value. According to the method, the PINN neural network is combined with physical information contained in the data, so that the fitting compensation capability is relatively high, meanwhile, the method does not need to depend on a large amount of data support, and the compensation precision of the aeromagnetic data is relatively high.

The invention relates to a ship berthing position detection method and system based on shore end laser radars, and the method comprises the steps: deploying a plurality of laser radars at a shore end, and collecting original point clouds in parallel through an asynchronous thread model; constructing a rigid transformation matrix based on the radar installation attitude parameters, and further generating fusion point cloud data under a unified world coordinate system; then extracting 3D geometric edge points in a preset range of the front edge of the wharf as near-shore point cloud data, and further calculating the minimum ship-shore distance; based on the ship bow direction and a preset segmentation threshold value, the coastal point cloud data are segmented into ship bow area point cloud and ship stern area point cloud in the x-axis direction, the coordinate mean value of the ship bow area point cloud and the ship stern area point cloud is calculated and compared with an expected position in a wharf operation system, and berthing accuracy is judged; and the drift distance is calculated in real time, the drift distance, the attitude angle and the change rate of the attitude angle are compared with corresponding preset threshold values respectively for graded early warning and drift alarm, and high-precision ship berthing position dynamic detection is achieved.

The invention provides a measurement mark-free section deformation resolving method for a high-speed rail tunnel, and relates to the technical field of tunnel detection. The method comprises the following steps: acquiring point cloud data of a high-speed rail tunnel, and carrying out mileage alignment on the point cloud data and datum point cloud data; performing section registration on the point cloud data and the reference point cloud data; establishing a corresponding relation of two periods of point cloud data through a nearest neighbor point of any point position in the datum point cloud data, and setting a displacement difference threshold value and an intensity grading threshold value of a point pair based on the corresponding relation; performing clustering analysis on the point clouds exceeding the displacement difference threshold value or the intensity grading threshold value based on a target clustering algorithm, and generating a potential deformation area continuous mask; the potential deformation area continuous mask represents the area where the high-speed rail tunnel has diseases. According to the method, the detection efficiency and the detection accuracy of high-speed rail tunnel deformation detection can be improved.

The invention relates to the technical field of ocean engineering digital twinning and three-dimensional visualization, and provides a method and system for generating dredging terrain twinning based on a right-angle triangular mesh, and the method comprises the steps: obtaining regular grid elevation unified to an engineering plane coordinate system or preprocessed sampling height data, determining a covered space range, reading the space range and density parameters, and calculating the total row number and the total column number of the grids based on the space range and the density parameters; generating regularly arranged vertexes in the covered space, and constructing a topological structure of an isosceles right triangle grid; dividing the global grid into a plurality of Chunk blocks according to a fixed size by taking a vertex as a unit, establishing a triangular index mapping relationship between global rows and columns and the Chunk blocks, filling three vertexes of an isosceles right triangle and elevation / height data in each Chunk block in parallel, and generating local VBO, IBO and AABB; and performing batch rendering and coloring according to a height color table on all Chunk blocks to realize visualization of the terrain.

The invention discloses a sea water area karst cave group transient electromagnetic collaborative investigation data processing method and system, and the method comprises the steps: transmitting a wide frequency spectrum excitation signal to the seabed through a shipborne transient electromagnetic transmitting system, and synchronously collecting a secondary field attenuation signal responded by a seabed medium through a pull-type receiving array, meanwhile, a distributed sensor network is arranged at a preset seabed node to collect background noise base data; performing motion attitude compensation on the secondary field attenuation signal to generate transient electromagnetic response data; constructing an adaptive filter based on the background noise base data, performing noise suppression processing on the transient electromagnetic response data, and outputting noise suppression data; and performing space-time alignment on the noise suppression data of the towed array and the seabed node data to form a three-dimensional space sampling data set. According to the method, high-precision fusion of deep and shallow detection data and quantitative evaluation of the stability of the karst cave are realized, and the detection reliability and the engineering risk early warning capability of the complex ocean karst area are remarkably improved.

Disclosed is a BeiDou satellite ephemeris prediction method and system based on a water-wave parallel network. The method includes: receiving broadcast ephemeris data; calculating according to the broadcast ephemeris data to obtain a sequence of extrapolation errors and historical extrapolated states; and inputting the sequence of extrapolation errors and the historical extrapolated states into a pre-trained prediction model to output an error prediction result. The system includes: a data receiving module, a dynamical calculation module, an error prediction module and a correction module. The present disclosure allows for accurate ephemeris prediction at a lower computational cost, and can be widely applied in the field of trajectory prediction.

The invention relates to the technical field of satellite internet, in particular to a low-orbit satellite communication system positioning method and a terminal. Comprising the following steps: a user terminal receives satellite broadcast to obtain ephemeris information at the current moment and position information of a wave position center point, and carries out initial time delay estimation and initial frequency offset estimation; then the user terminal carries out time-frequency pre-compensation processing on the PRACH signal according to the initial time delay and frequency offset estimation and sends the PRACH signal to a satellite; and after the satellite captures the PRACH signal, positioning the user terminal corresponding to the PRACH signal according to the residual time delay and the residual frequency offset carried in the PRACH signal and the position of the wave position center point. Therefore, under the condition of not depending on GNSS information, the satellite side can position the GNSS-free terminal.

The invention discloses a three-dimensional seismic high-resolution strengthening method based on an adaptive reflection coefficient. The method comprises the following steps: S10, acquiring a three-dimensional seismic data volume; s20, constructing a reflection coefficient prior probability model through multi-scale dictionary construction and statistical feature extraction; s30, adaptive matched filtering: performing time-varying filter and directional compensation on the original three-dimensional seismic data volume and the Q-field model to obtain a data volume subjected to Q compensation and reflection feature enhancement; s40, three-dimensional anisotropy enhancement: carrying out structure tensor field calculation and tensor driving diffusion on the data volume in the step S30 to obtain enhanced data; and S50, joint inversion optimization: performing joint inversion by using the reflection coefficient prior probability model and the enhanced data to obtain a final high-resolution seismic body. According to the three-dimensional seismic data processing method, a physical mechanism and data driving are fused, a three-dimensional processing technology considering vertical and transverse resolution improvement is adopted, and the contradiction between resolution improvement and geological authenticity maintenance in three-dimensional seismic data processing is solved.

A design method of a trust region satellite-borne dual-base interference SAR system is provided, relating to the field of radar measurement. Firstly, error sources of the interference SAR system are classified and analyzed, phase errors caused by image decoherence are calculated according to wave positions, and an analytical expression of baseline-related errors is reserved; a maximum phase error caused by imaging processing and an electronic device are estimated; and a baseline error is estimated. Then, the phase errors and the baseline errors are converted into elevation errors through an elevation fuzzy number, thereby obtaining an analytical expression of the elevation errors and the baseline parameters (length and dip angle). With a relative height measurement accuracy index of the system as an optimization object, a feasible solution interval between the baseline length and the baseline dip angle of the system is solved through a trust region algorithm. A minimum value of the baseline length is corrected according to a flying-around safety distance of a dual-satellite formation. According to the method of the present disclosure, the design of the satellite-borne dual-base interference SAR system can be guided, so that the satellite-borne dual-base interference SAR system is ensured to carry out terrain elevation surveying and mapping tasks with high accuracy and high reliability.

The embodiment of the invention discloses a precision positioning acceleration method and device based on a low earth orbit satellite / LSTM neural network. The method comprises the steps that a terminal obtains a wide lane phase decimal deviation product, a narrow lane phase decimal deviation product and a first GNSS combination observation value which are generated by a server based on an LSTM method and are subjected to coding processing; determining a first GNSS wide lane real number ambiguity according to the first GNSS wide lane real number Based on a precise point positioning algorithm, determining initial GNSS ionosphere elimination combination real ambiguity and other parameters; performing inter-satellite single difference on the first GNSS wide-lane real number ambiguity, and obtaining the integer ambiguity by combining wide-lane phase decimal deviation product fixation; performing inter-satellite single difference on the initial GNSS ionosphere-free combination real ambiguity, determining a first GNSS narrow-lane real ambiguity by combining the wide-lane integer ambiguity, and fixing the first GNSS narrow-lane real ambiguity by using a narrow-lane phase decimal deviation product through a partial ambiguity fixing method to obtain the integer ambiguity of the narrow-lane phase decimal deviation product; and calculating a user coordinate fixed solution in combination with related parameters.

The invention provides a three-dimensional interface inversion method fusing geological constraints and a level set function, and relates to the technical field of geophysical inversion and imaging, and the method comprises the steps: obtaining geological prior information, carrying out the parametric modeling of an underground structure of a research region through a Gaussian random field, and generating a model parameter vector; and simulating the propagation process of seismic waves in a seismic wave speed model by using a forward modeling calculation method, carrying out iterative optimization on model parameter vectors based on an EKI set Kalman inversion method, recovering an underground three-dimensional structure in a research area, and carrying out interpretation and verification in combination with drilling data to obtain structural characteristics and resource distribution of the research area. According to the method, unified parametric modeling is performed on speed disturbance and interface forms through a Gaussian random field, and a level set function is introduced to represent discontinuous layering, fault cutting, inclusion embedding and other complex geological interfaces, so that collaborative inversion of a speed field and a structure boundary under the same optimization framework is realized; and geometric expressive power and geological consistency of the model are improved.

Techniques for estimating a ground plane based on lidar data and / or attributes of the ground plane are discussed herein. A vehicle captures radar data, e.g., 4D radar data including height information, as it traverses an environment. The radar data can include direct returns from an object and reflected or multipath returns, e.g., that reflect off a ground surface and the object. A position of the ground plane can be estimated based at least in part on a distance between direct returns and the reflected returns. Attributes of the ground plane may be determined from differences between the direct returns and the reflected returns.

The invention discloses a three-dimensional laser radar point cloud acquisition control method and system, and belongs to the technical field of laser radar measurement and control. An existing low-cost laser radar point cloud acquisition method is large in angle accumulative error and cannot meet the real-time angle tracking requirement under the high-rotating-speed working condition. According to the three-dimensional laser radar point cloud acquisition control method, the coded disc design optimization model and the abrupt change signal capture model are established, the notch is designed in the coded disc of the three-dimensional laser radar, and the width of the notch of the coded disc is optimized, so that pulse signal period abrupt change can be accurately captured, angle accumulation errors can be effectively reduced, and the accuracy of the point cloud acquisition control is improved. And the angle synchronization precision is improved, and the method is especially suitable for real-time angle tracking requirements in a high-rotating-speed scene. Meanwhile, jitter interference of the laser radar can be eliminated, and spatio-temporal interpolation fusion can be performed on multi-circle acquired data, so that high-density point cloud data can be generated, and the angular resolution and the point cloud density can be effectively improved.

The invention relates to the technical field of geographic information engineering, in particular to a surveying and mapping geographic system based on a remote sensing technology, which is characterized in that a multi-modal remote sensing data acquisition module synchronously acquires satellite remote sensing images, aviation LiDAR point cloud, unmanned aerial vehicle oblique photography and ground Internet of Things sensing data; the data fusion collaboration module carries out geographic coordinate calibration and position coding, and generates a surveying and mapping data set with unified precision in combination with an improved Mamba fusion model; the dynamic terrain high-precision inversion module performs three-dimensional terrain reconstruction, and completes terrain deformation monitoring in combination with an InSAR interference measurement technology and a time sequence analysis algorithm; the real-time error correction module constructs a BP neural network optimized by an ISSA algorithm, and dynamically corrects a terrain three-dimensional model and a terrain deformation result; the intelligent visual application module constructs a digital twinborn simulation model and automatically generates a standardized surveying and mapping result report. Therefore, the problems of weak multi-source data fusion, low terrain inversion precision and the like in the prior art are solved.

The invention discloses a slope radar and GNSS three-dimensional deformation data combined observation fusion method and system. The method comprises the following steps: S1, acquiring slope radar data, performing discrete value elimination processing, acquiring GNSS three-dimensional deformation data, and performing discrete value elimination processing and spatial interpolation processing; s2, calculating displacement data of the slope radar data and converting the displacement data to a BLH coordinate system; s3, constructing a combined observation model of the slope radar data and the GNSS three-dimensional deformation data under the same BLH coordinate system; and S4, carrying out data fusion on the slope radar data and the GNSS three-dimensional deformation data according to the weight by taking the iteratively optimized weight of the combined observation model. According to the method, the combined observation model of the multi-source data is jointly constructed based on the slope radar observation equation and the GNSS observation equation, the weighted residual algorithm based on the least square method is introduced, the weighted residual sum is minimized, the high-precision three-dimensional deformation fusion result is generated, and reliable technical support is provided for subsequent slope deformation analysis.

The invention discloses a multi-wave chromatography and reflection combined detection method and device for a thin-covering-layer urban active fault and a medium. The method comprises the steps that longitudinal wave seismic data and transverse wave seismic data are collected; recording vertical component data based on the longitudinal wave seismic data for first arrival travel time pickup and tomography inversion to obtain a longitudinal wave velocity structure model Vp; extracting Rayleigh surface wave frequency dispersion through the vertical component data and carrying out multichannel surface wave analysis inversion to obtain a transverse wave velocity structure model Vs; calculating a longitudinal and transverse wave velocity ratio parameter structure model Vp / Vs, and calculating to obtain a Poisson's ratio parameter structure model v; obtaining a longitudinal wave (P wave) reflection profile and a transverse wave (S wave) reflection profile; identifying and summarizing into an interpretation fracture set Fc, and recording key elements; and by taking the interpretation fracture set Fc as a structural skeleton, completing unified registration and superposition display on Vp, Vs, Vp / Vs and v, a longitudinal wave reflection profile and a transverse wave reflection profile, and outputting a shallow underground structure comprehensive interpretation map of the thin covering layer region.

Method of measuring ionosphere scintillation phase index Sigma-Phi, the method including, for each of N satellites being tracked, calculating a phase prediction at an i-th sample; for each of the N satellites, calculating an individual loop discriminator signal based on the phase prediction; rejecting the i-th samples of some of the N satellites, where K non-rejected satellites remain; calculating common loop discriminator signal based on the individual loop discriminator signals of non-rejected K satellites; calculating a phase estimate and a Doppler frequency estimate at the i-th sample for each of the N satellites based on individual loop discriminator signal; calculating test statistic based on the phase estimate at the i-th sample and an observed phase for each of the N satellites; calculating index Sigma-Phi as standard deviation estimation of the test statistic for each of the N satellites; and outputting the index Sigma-Phi for each of the N satellites.

The invention relates to a dam slope deformation monitoring method based on fusion of a measuring robot and a GNSS (Global Navigation Satellite System). The method comprises the following steps: performing signal synchronization and delay correction on a dual-mode observation pillar of a GNSS and a prism target of a measurement robot, and constructing a space-time reference network; controlling the measurement robot to emit an anti-interference laser pulse, counteracting environment vibration, and outputting a vibration compensation coordinate set; obtaining a dam slope displacement field through variable weight adaptive fusion processing; performing encryption scanning on an abnormal area exceeding a first deformation threshold in the displacement field to generate a polarization interferometric phase diagram, forming an adaptive data stream through three-stage dynamic classification coding, calculating a reference point drift component in combination with a dual-mode observation pillar, and extracting a net deformation set; and finally, mapping the net deformation set to a BIM model, constructing a color temperature gradient three-dimensional deformation situation map, triggering early warning for an area exceeding a second deformation threshold value, and generating a three-dimensional early warning map. According to the method, high-precision space-time unification of multi-source data can be realized, and the monitoring consistency and the anti-interference capability in a complex environment are remarkably improved.

The invention discloses an underway real-time GNSS acoustic underwater positioning method, which belongs to the technical field of underwater positioning, is used for acoustic underwater positioning, and comprises the following steps: constructing an extended Kalman filtering solution model, constructing a constraint equation by taking coordinate prior information of a seabed transponder as a constraint, and solving an initial state parameter and an initial covariance matrix; and processing ill-conditioned problems in the initial state parameter and initial covariance matrix solving process by adopting a Tikhonov regularization method, substituting the initial state parameter and an initial covariance matrix value into an extended Kalman filtering solution model, and carrying out real-time GNSS acoustic underwater positioning on the submarine transponder. The real-time positioning method for the GNSS-acoustic seabed transponder solves the possible ill-conditioned problem in the solving process, has good performance of short convergence time and high precision, can improve the real-time positioning efficiency of the GNSS-acoustic seabed transponder, and is expected to provide powerful technical support for seabed plate movement, geological disasters, disaster early warning and seabed geodetic datum updating.

The invention provides a three-dimensional flow velocity field inversion method and system based on coherence-assisted SAR adaptive offset tracking, and a storage medium, so as to improve the problem of decoherence caused by time heterogeneity in a synthetic aperture radar interferometry (InSAR) technology, and relates to the technical field of electric power engineering geological disaster monitoring. The method comprises the following steps: establishing a space-time baseline network between SAR images; obtaining coherence data after geocoding; selecting a pair of SAR images from the space-time baseline network as a reference unit, calculating an offset result through a pixel offset tracking technology for the reference unit, and determining an optimal matching window parameter of the reference unit; establishing a mapping function between coherence and optimal matching window parameters; according to the established mapping function, calculating an optimal matching window parameter of each remaining SAR image pair; and in combination with the line-of-sight average deformation rate fields of the ascending and descending rails, inverting a surface three-dimensional flow velocity deformation field of the target area through a geometric vector decomposition model.

The invention provides a wave position planning method and device for a marine ship, and the method comprises the steps: obtaining a wave position number and corresponding first navigation time and second navigation time, and enabling the second navigation time to be obtained based on a pre-trained network model; obtaining third navigation time based on the first navigation time and the second navigation time; and uploading the first navigation time, the third navigation time and the beam position number to a satellite, so that the satellite serves the beam position corresponding to the beam position number in the time period from the first navigation time to the third navigation time. In the application, the time of the staring scene is divided into a plurality of time domains, each time domain can be added with a wave position number of staring according to a prediction result, finally, the staring scene of time division and domain division is formed, and compared with an existing satellite staring scheme, not only can ship communication be effectively guaranteed, but also the distribution and utilization efficiency of satellite resources can be optimized.