36 results about "Topographic relief" patented technology

The invention discloses a laser wind-finding radar and a data processing and assimilation method thereof. The method comprises the following steps: acquiring observation data of the laser wind-finding radar, atmospheric stability parameters and topographic relief feature data; a three-dimensional space weight distribution function is constructed based on the parameters, and initial influence weights of the observation points on surrounding grids are represented; dynamically adjusting the horizontal influence range and the vertical attenuation characteristic of the function according to the geomorphic stratification degree and the atmospheric vertical stratification change information, and generating dynamic weight distribution matched with the local atmospheric physical and topographic characteristics; the distribution serves as a space adjustment factor of an observation error covariance matrix and is introduced into a cost function, and the wind field analysis field and the dynamic weight distribution are synchronously optimized by minimizing the cost function; and outputting the optimized wind field analysis field for numerical weather forecast. According to the method, accurate and efficient fusion of observation information in three-dimensional variational assimilation is realized, and the authenticity and forecast reliability of wind field analysis under complex conditions are remarkably improved.

The invention discloses a land area measurement method and system for land planning and design, and the method comprises the steps: collecting a sequence aerial image of a target land parcel, and synchronously recording the positioning and attitude determination data of each frame of image; edge sharpening processing and multi-view three-dimensional reconstruction are carried out on the sequence aerial image, and a digital elevation model with texture features is generated; performing terrain gradient analysis and edge contour extraction based on a digital elevation model, and identifying a land block boundary through an adaptive threshold segmentation algorithm and generating an initial vector boundary diagram; performing topological relation verification and fragment pattern spot fusion on the initial vector boundary diagram, and outputting an optimized plot vector boundary; and carrying out coordinate registration on the optimized plot vector boundary and a geographic information system base map, calculating a projection area through integral operation, and generating a final measurement report containing a topographic relief coefficient. According to the embodiment of the invention, the operation efficiency, boundary recognition precision and result reliability of land area measurement under complex terrains can be improved.

This invention relates to the field of water conservancy engineering construction technology, and discloses a method and system for controlling blasting vibration during lock excavation. By collecting information on the geological hardness of rock strata and the distance to surrounding buildings, and combining this with finite element analysis to simulate the blasting energy distribution, a dynamic matching mechanism for borehole depth and charge quantity is constructed. This method overcomes the limitations of traditional empirical parameter settings and uses iterative simulation and optimization algorithms to achieve coordinated adjustment of borehole depth and charge quantity. For example, in areas with high rock hardness, by increasing the borehole depth and matching a segmented charge strategy, the blasting energy is uniformly released in the deep rock mass, effectively reducing the peak ground vibration and avoiding structural damage to adjacent buildings. Furthermore, by introducing multi-dimensional data analysis and multi-scenario simulation verification mechanisms, it can flexibly cope with complex working conditions such as uneven rock hardness, topographical undulations, adjacent water bodies, or dense building clusters.

The invention belongs to the technical field of environmental protection, and particularly discloses an intelligent environmental impact assessment method and system, and the method comprises the following steps: obtaining real-time monitoring data, and constructing a pollutant initial distribution model according to the real-time monitoring data; the real-time monitoring data are environmental parameters including temperature, humidity, wind speed, rainfall and pollutant concentration; correcting the initial distribution model by using meteorological prediction data, wherein the meteorological prediction data comprises a wind speed change trend and a wind direction change trend in a future time period; simulating a pollutant diffusion path based on the corrected distribution model, wherein the simulation of the diffusion path is realized by applying a fluid mechanics principle in combination with a topographic relief effect and a vegetation interception effect; and generating a spatial distribution probability distribution diagram of the environmental influence according to the simulation result, wherein the probability distribution diagram is used for displaying the difference of the threat degrees of environmental pollution to different regions. According to the method, the spatial distribution uncertainty can be reasonably quantified while the prediction precision is improved.

The present application provides a kind of complex stratum structure and topographic effect considering slope microseismic event 3D positioning method, the technical scheme includes S1: the theoretical travel time model suitable for complex slope environment is built;S2: the actual travel time difference is extracted from slope monitoring data;S3: based on the 3D positioning of theoretical and observed travel time difference matching, the ambient noise surface wave tomography technology is applied to slope velocity modeling, without artificial seismic source, high resolution velocity structure can be obtained;Realize 3D ray tracing under the constraint of digital elevation model, ensure that wave propagation path meets physical law, positioning accuracy reaches 3 m, can reach 1.5 m in dense array coverage area, compared with traditional method, it is improved by one order of magnitude;Successfully applied to complex environment with more than 700m topographic relief and extreme velocity variation, can be applied to microseismic monitoring in various complex geological environments.

This invention discloses a fully automated atmospheric and topographic radiometric correction method and device for high-resolution remote sensing imagery, belonging to the field of remote sensing science and technology. The method includes: constructing a fully automated batch processing framework; developing an atmospheric correction module based on the 6S radiative transfer model to automatically retrieve atmospheric parameters and eliminate their influence; and developing a topographic radiometric correction module based on the digital elevation model (DEM) and VECA model to compensate for radiometric distortion caused by complex terrain. The key innovation lies in constructing a joint correction framework and integrating a geomorphic feature recognition algorithm, which can automatically identify and select to execute either single atmospheric correction or a combined atmospheric-topographic correction process based on the degree of topographic relief in the image. This invention achieves fully automated batch processing from data input to result output, requiring no manual intervention, significantly improving the processing efficiency, intelligence level, and adaptability to different terrain scenarios in high-resolution image radiometric correction.

The invention discloses a vegetation classification method based on space-time multi-modal deep learning, and relates to the technical field of image processing, and the method comprises the steps: obtaining a multi-temporal optical image, a radar image and digital elevation model data of a to-be-classified region, and forming multi-modal data; extracting spectral features, microwave features, topographic features and texture features to form fusion features; calculating graph node features, and updating the graph node features to form graph features; and fusing the fusion features and the graph features to obtain pixel-level coarse classification logs, carrying out feature extraction and fusion on the fusion features to form region-level coarse classification logs, carrying out fusion to obtain a coarse classification probability, and carrying out fine classification on coarse basic features to obtain a final classification result. The method provided by the invention can adapt to a mountainous area environment with multiple clouds, multiple shadows and large topographic relief, improves the stability and classification fineness of vegetation type identification, and is suitable for wide-range vegetation monitoring and ecological assessment scenes.

The application discloses a kind of unmanned plane ecological monitoring aerial survey coverage degree measurement method based on geographic grid, it is related to aerial survey coverage degree measurement technical field, obtains the boundary of the region to be monitored and generates grid unique number, bind topographic relief parameter, canopy height parameter and observation stability parameter, collect each grid incident angle set, calculate the range of view angle variation, when not satisfied, calculate the risk parameter of obstruction and compare with obstruction risk threshold, obtain coverage determination, construct local three-dimensional voxel model to invalid grid coverage, reproduce historical observation posture and execute line-of-sight penetration analysis, calculate three-dimensional visibility ratio and compare with three-dimensional visibility threshold to revise coverage state, still invalid grid is revised, and coverage improvement amount is calculated according to visibility ratio change, combined with revisit frequency to obtain revisit benefit ratio, according to benefit order classification and clustering generation revisit route according to spatial proximity relationship, recalculate key criterion after revisit and output grid coverage result set according to convergence criterion.

This application discloses a vegetation classification method based on spatiotemporal multimodal deep learning, relating to the field of image processing technology. The method includes: acquiring multi-temporal optical images, radar images, and digital elevation model data of the region to be classified, forming multimodal data; extracting spectral features, microwave features, topographic features, and texture features to form fused features; calculating graph node features and updating the graph node features to form graph features; fusing the fused features and graph features to obtain pixel-level coarse classification logits; extracting and fusing the fused features to form region-level coarse classification logits; fusing to obtain coarse classification probabilities; and performing fine classification on the coarse class basic features to obtain the final classification result. The method of this application can adapt to mountainous environments with frequent cloud cover, shadows, and large topographic relief, improving the stability and classification precision of vegetation type identification, and is suitable for large-scale vegetation monitoring and ecological assessment scenarios.

The invention discloses a low-error surveying and mapping unmanned aerial vehicle and a surveying and mapping method, relates to the technical field of distance measurement, and can solve the technical problems of low data processing precision and poor efficiency in a surveying and mapping process due to the fact that real topographic relief and unmanned aerial vehicle bumping errors cannot be effectively distinguished under complex topographic conditions. Comprising the steps that a ground height data set obtained by measuring a target area through a surveying and mapping unmanned aerial vehicle is acquired, and the ground height data set comprises ground height data of multiple measurement points; screening out a plurality of alternative error data from the ground height data set, wherein the alternative error data are measurement point data deviating from a normal fluctuation range; multiple pieces of target error data are identified from the multiple pieces of alternative error data, wherein the target error data are error data caused by jolting of the surveying and mapping unmanned aerial vehicle in the multiple pieces of alternative error data; performing data correction on the target error data to obtain a corrected ground height data set; and determining a ground height map according to the corrected ground height data set.

This invention relates to the field of watershed topographic monitoring technology, providing a method and system for intelligent watershed monitoring based on UAV oblique photography. The method includes the following steps: Based on a watershed digital elevation model, the flight altitude is dynamically adjusted according to topographic undulations to acquire oblique photographic images; potential feature points are initially screened on each image, and the quality index of each potential feature point is determined based on neighborhood conditions and elevation information; the final retained feature points are determined based on a quadtree algorithm, topographic conditions, and the quality index; the texture information of the surrounding images of the final retained feature points is encoded, and this encoded information is used for comparison and matching in different images; feature point matching is performed, and the matching confidence of each feature point is determined. When the matching confidence is lower than a confidence threshold, dynamic accuracy compensation is performed based on structure tensor and texture gradient to determine the 3D model. This invention can promptly detect and correct errors that occur during the matching process, improving the accuracy and quality of the 3D model.

This invention proposes an intelligent identification method for bauxite outcrops based on UAV multispectral imagery, comprising: extracting the geometric morphology map, topographic relief feature map, spatial aggregation point density map, and spectral absorption feature map of the ore body to be identified from the multispectral imagery acquired by the UAV; extracting the boundary contour parameters from the geometric morphology map and performing vector raster fusion processing with the elevation values ​​and slope angles from the topographic relief feature map in three-dimensional space to obtain the local features and spatial distribution contour features of the ore body to be identified; mapping the local features, spatial distribution contour features, spatial aggregation point density map, and spectral absorption feature map to the same manifold space through differential homeomorphism, marking and obtaining the extension extrema of each distribution direction in the manifold space to calculate the extension measure of each distribution direction, thereby solving the problem that existing identification methods easily misjudge tailings piles as economically valuable ore bodies, resulting in inflated resource estimates and deviations in mining planning.

The invention discloses a near-surface geological section generation method and device, and the method comprises the steps: extracting a stratum boundary line and stratum occurrence vector point data of a target near-surface geological region based on a satellite remote sensing image and a digital elevation model; elevation information is obtained from the digital elevation model data, and a topographic profile contour line containing a topographic relief curve and a downward extension copy line thereof is generated; carrying out space intersection on the topographic profile contour line and the stratum boundary line to generate an extension stratum node under the contour line; matching corresponding stratum occurrence vector point data for the extended stratum nodes; calculating the downward extension direction of the stratum according to the inclination angle and the inclination angle in the matched stratum occurrence vector point data, and generating a target near-surface stratum unit; and automatically filling geologic symbols and colors according to the name of the target near-surface stratigraphic unit, and drawing the geological profile of the target near-surface geological area according to a preset proportion. The method is used for improving the drawing precision and drawing efficiency of the near-surface address profile.

The invention discloses a method for building a rice field painting landscape in Sichuan southern hills based on RTK equipment and CAD lofting, and belongs to the field of rice field painting landscapes. The method comprises the steps that digitized CAD design of a rice field picture is conducted in combination with regional culture, and a suitable colored rice variety is selected; performing topographic survey on the target field by using high-precision RTK equipment to obtain coordinates and elevation data; through coordinate conversion and correction, the CAD design drawing is precisely adapted to the actual field digital model; the CAD lofting function of the RTK handbook is utilized, and pattern contour points, lines and areas are precisely lofted in the field on site; and according to the lofting marks, carrying out partitioned precise planting on rice with different colors. The technical problems that due to topographic relief and humid climate, the lofting precision of the rice field picture is low, the pattern is prone to deformation, and the landscape consistency is poor are effectively solved, and high-precision, high-efficiency and high-adaptability rice field picture construction is achieved.

The invention discloses a terrain surveying and drawing system based on an unmanned aerial vehicle, and relates to the technical field of terrain surveying and drawing, and the system comprises the steps: extracting a systematic error coefficient caused by environmental factors and topographic relief through analyzing historical surveying and mapping data; in actual survey, environmental parameters and elevation changes are obtained in real time, and initial data are accurately compensated by using a pre-calculated error coefficient. On this basis, the deviation value of the influence of the airflow interference on the measurement result is calculated, the compensated result is corrected through the deviation value, finally, the system carries out confidence evaluation on multiple measurement results, and weighted correction is carried out on suspicious data by using adjacent points with high confidence, so that the high accuracy of the final topographic map is ensured.

This invention discloses an intelligent planning method for surveying tasks and the application of topographic data for bridge design, belonging to the field of bridge engineering design technology. The method includes the following steps: First, longitudinal and cross-sectional information is automatically extracted from CAD topographic maps; then, by combining an automatic topographic undulation recognition algorithm with cross-sectional quantitative evaluation, key sections requiring on-site measurement are intelligently selected to form a precise surveying task book; subsequently, based on standardized measured data provided by surveying professionals, the pier height and abutment top elevation are automatically optimized and determined with the core objective of minimizing the total earthwork volume at a single pier location; finally, automated bridge design and engineering quantity calculation are completed. This invention achieves intelligent and objective surveying task planning, efficient collaboration between bridge and surveying professionals, and automatic optimization of design schemes, effectively overcoming the drawbacks of traditional methods such as reliance on experience, poor collaboration, and large earthwork volumes, significantly improving design efficiency and economy.

The invention relates to the technical field of geological disasters, and discloses a geological disaster susceptibility evaluation method, device and equipment and a storage medium, and the method comprises the steps: selecting the gradient, slope shape, topographic relief, rock-soil body stability, geological structure complexity, vegetation coverage and land utilization degree of an evaluation region as a plurality of geological disaster evaluation factors; according to the geological disaster point number of each geological disaster evaluation factor under each grade corresponding to the geological disaster evaluation factor, the grid number of each geological disaster evaluation factor under each grade corresponding to the geological disaster evaluation factor, the total number of geological disaster points of the evaluation area and the total number of grids of the evaluation area, the evaluation area is evaluated; and generating the information amount of each geological disaster evaluation factor under each grade corresponding to the geological disaster evaluation factor, and adding the information amount of each geological disaster evaluation factor under each grade corresponding to the geological disaster evaluation factor to obtain a geological disaster susceptibility evaluation index of the evaluation area. According to the invention, the acquisition efficiency of the geological disaster susceptibility evaluation index can be improved.

The invention discloses a gear transmission type historical war deduction sand table control mechanism, and relates to the technical field of sand table control, the gear transmission type historical war deduction sand table control mechanism comprises a sand table mounting seat, control mechanisms, models, a glass plate and a projector, the top of the sand table mounting seat is slidably connected with twelve groups of control mechanisms, and the control mechanisms are arranged; a tooth-shaped structure is used for accurately transmitting power, the motion direction and speed of the model are controlled, stable and accurate movement and rotation of the model are guaranteed, and the reliability and simulation precision of deduction sand table operation are improved; a flag mechanism is arranged, and the flag state is rapidly switched during position attribution, tactical deployment change and attack and defense situation conversion, so that a deducer can clearly control the battlefield dynamic state, the deduction efficiency and the battlefield situation visualization degree are improved, and accurate and smooth deduction is guaranteed; the lifting mechanism is arranged, three-dimensional dynamic simulation of topographic relief and unit height is achieved through upward or downward movement of the model, plane deduction is expanded into three-dimensional battlefield reduction, and the authenticity and visualization degree of tactical deployment are improved.

The invention relates to a semi-deterministic sea-land hybrid propagation channel path loss prediction method, which performs classification processing on obstacle terrains based on a propagation theory, introduces empirical propagation factors of sea-land hybrid propagation into a model, and significantly improves the precision and applicability of path loss prediction. According to the method, the difference between the sea surface and the land in propagation characteristics and the coupling effect of the sea surface and the land are fully considered, and cooperative calculation of perpendicular incidence, reflection and diffraction components in a propagation path is achieved through comprehensive modeling of multi-dimensional factors such as topographic relief, earth surface reflection coefficients, meteorological conditions and air-sea boundary layer structures. Meanwhile, a parameter calibration and correction mechanism based on measured data is introduced, so that the model can adjust key propagation parameters according to different antenna erection heights so as to adapt to prediction requirements under different frequency bands, propagation distances and environmental conditions, and very high prediction precision and environmental generalization ability are embodied.

This invention proposes an interactive tree height development trend prediction method and system at the single-tree scale, relating to the fields of remote sensing information processing and forest resource monitoring. Addressing the problems of existing technologies, such as time-consuming and labor-intensive forest surveys, difficulties in large-scale implementation in areas with significant topographic relief, limited transportation, or scattered tree distribution, and challenges in meeting the needs for refined and continuous monitoring, this invention provides a technical solution at the single-tree scale. It integrates tree species information, age inversion results, and growth models, allowing users to predict the tree height development trend of target trees through spatial interaction. This enables refined analysis and dynamic management of the tree growth process. It effectively avoids the averaging problem associated with traditional plot-scale models and significantly improves the scientific rigor and accuracy of single-tree resource management and forestry management decisions.

The invention discloses a scenic spot real-time people flow statistical method and system based on edge calculation. The method comprises the following steps: carrying out three-dimensional terrain look-up table correction on an edge end, and converting a pedestrian pixel coordinate into a real earth surface three-dimensional coordinate; carrying out lightweight behavior identification and dynamic compensation at the edge end, identifying residence and wandering behaviors, and carrying out missed detection correction and repeated suppression; edge collaborative space-time fingerprint cross-domain de-duplication is carried out to realize cross-camera pedestrian de-duplication; edge end distributed velocity field and anomaly detection is carried out, and congestion, retrograde motion and turbulence anomalies are detected; and edge autonomous evolution and cloud selectable enhancement are carried out to realize continuous optimization of the model. The system comprises a three-dimensional terrain correction module, a behavior recognition compensation module, a cross-domain duplicate removal module, a velocity field anomaly detection module and an autonomous evolution module. According to the method, the problem of people counting deviation caused by topographic relief of the mountain scenic spot is solved, and real-time people counting and abnormal early warning at the edge end are realized.

The invention relates to the technical field of route planning, in particular to an unmanned aerial vehicle aerial photography reservoir route planning method and system based on digital twinning, and the method comprises the steps: obtaining topographic relief data, carrying out the noise reduction and filtering of the topographic relief data, generating a three-dimensional terrain model, and determining the obstacle position data; performing block statistics on the obstacle position data to obtain obstacle distribution data, and performing identification based on the obstacle distribution data to obtain an abnormal density area; performing preset risk threshold comparison on the abnormal density area, and screening out a potential risk area; performing safe path planning and screening on the potential risk area to obtain an alternative path range; performing smoothing processing on the alternative path range, and performing constraint screening according to a preset distance to obtain a standard path sequence; and performing iterative optimization on the standard path sequence to obtain the flight path of the unmanned aerial vehicle. The method realizes efficient planning of the aerial photography flight path of the unmanned aerial vehicle.

The invention discloses a two-micro-segment intelligent identification and risk grading method and system for a power transmission line, and relates to the technical field of power transmission line risk analysis, and the method comprises the steps: obtaining the topographic elevation data of a topographic region where the power transmission line is located, and extracting a plurality of microtopographic parameters in the topographic elevation data, the micro-topographic parameters comprise curvature, gradient and topographic relief; based on the micro-topographic parameters, determining a topographic type of a topographic region where the power transmission line is located and micro-meteorological parameters corresponding to the topographic type, the micro-meteorological parameters including a wind acceleration coefficient and an icing coefficient; calculating a comprehensive risk index based on the micro-topographic parameters and the micro-meteorological parameters; constructing a risk grading model based on the comprehensive risk index; and through the risk grading model and the dynamic division threshold, carrying out prediction processing on the risk grade of each topographic region to obtain a risk grading result. The technical effect of improving the accuracy of the risk grading result output by the model is achieved.

The invention discloses an unmanned aerial vehicle ecological monitoring aerial survey coverage measurement method based on geographic grids, and relates to the technical field of aerial survey coverage measurement, and the method comprises the steps: obtaining a boundary of a to-be-monitored region, generating a grid unique number, binding a topographic relief parameter, a canopy height parameter and an observation stability parameter, collecting an incident angle set of each grid, and carrying out the collection of the incident angle set; calculating a view angle change amplitude, calculating a shielding risk parameter and comparing the shielding risk parameter with a shielding risk threshold value when the view angle change amplitude is not met, obtaining coverage judgment, constructing a local three-dimensional voxel model for grids with invalid coverage, reproducing a historical observation attitude to execute sight line penetration analysis, calculating a three-dimensional visibility ratio and comparing the three-dimensional visibility ratio with a three-dimensional visibility threshold value to correct a coverage state; and calculating the coverage improvement amount of the grids which are still invalid after correction according to the change of the visibility ratio, obtaining a revisit income ratio in combination with the number of revisit times, sorting and grading according to the income, clustering according to the spatial proximity relation to generate a revisit route, re-calculating the key criterion after revisit, and outputting a grid coverage result set according to the convergence criterion.

The invention relates to the technical field of unmanned aerial vehicle surveying and mapping and automatic control, and discloses an unmanned aerial vehicle land surveying and mapping route adaptive control method and system, and the method comprises the steps: obtaining an environment complexity evaluation value and topographic relief data; according to the environment complexity evaluation value, carrying out collection strategy and path collaborative planning to obtain an enhanced collection strategy and an initial route sequence; performing iterative optimization on the initial route sequence in combination with the topographic relief data to obtain a stable flight path; and according to the stable flight path and the enhanced acquisition strategy, determining a final route configuration, generating and executing a real-time control instruction, and according to feedback data, performing dynamic adaptive adjustment on the real-time control instruction. The method solves the technical problem of insufficient adaptive ability of the route of the unmanned aerial vehicle in a complex dynamic environment.

This invention relates to the field of land spatial planning technology, specifically to a three-dimensional design method for visualizing land spatial planning data conflicts. The method includes using aerial photography to survey the topography of the planning area, constructing a three-dimensional model of the planning area, acquiring core data on elevation, slope, aspect, topographic relief, soil type, and hydrogeology within the area, and establishing conflict rules for the plans based on land spatial planning control requirements. In this invention, by first summarizing the land area of ​​various plans into the three-dimensional model of the planning area, and then adapting the location and spatial scope of conflicting plans according to preset planning priorities, the amount of planning modifications required is reduced. By determining the location and scope of various plans in advance, subsequent detailed plans can be developed simultaneously, thus improving the overall design efficiency of land spatial planning.

The invention provides a design method, system, equipment and medium based on a residual gas well underground combined mining three-dimensional observation system, and belongs to the technical field of petroleum geophysical exploration. According to the method, aiming at the problems of complicated geological conditions and insufficient resolution of a conventional observation system in residual gas exploration, observation points are arranged by comprehensively analyzing geological condition factors and technical parameters of the observation system and adopting a multi-dimensional optimization strategy. The method specifically comprises the following steps: constructing a fitness function based on wave field energy coverage maximization, reflection interface coverage and geological parameter mean square error minimization, and carrying out adaptive observation point position design; according to the dimension difference of well-ground combined mining, ground excitation points are finely adjusted to make up a well periphery covering density gap; and on the basis of a static correction principle, according to topographic relief and reservoir heterogeneity characteristics, excitation and receiving parameters are adjusted in a partitioned manner. The method can effectively improve the signal-to-noise ratio and imaging precision of seismic data under complex geological conditions, accurately depicts the residual gas distribution, and improves the exploration efficiency.

A method for obtaining a seismic fracture finite element model grid including topographic relief comprises the steps of firstly determining a target area, then obtaining high-precision topographic data, then obtaining actual node coordinates, then determining geodetic coordinate information of the target area, then converting the geodetic coordinate information into plane coordinate information, then setting a grid, and then generating a plane basic grid. According to the actual node coordinates and a specified deformation equation, deforming the plane foundation grid, and obtaining an earthquake fracture finite element model grid including topographic relief; the plane foundation grid is deformed into a finite element model grid conforming to the topographic relief of the fault, so that the actual topographic relief of the fault can be simulated, the simulation effects of slippage of the fault, expansion of fracture and propagation of seismic waves are improved, and the accuracy of seismic fracture simulation is high. Therefore, the grid generated by the design can simulate the topographic relief of the fault, and the accuracy of earthquake fracture simulation is high.

The invention discloses an icing type identification method and system based on power transmission line microtopography, and relates to the technical field of icing classification, and the method comprises the steps: collecting high-precision point cloud data along a power transmission line, generating a digital terrain model, and forming a wire space exposure feature set; based on a digital terrain model, terrain data is converted into a texture image, spectrum features of topographic relief and groove structures are extracted, a multi-channel terrain texture matrix is generated, meteorological data along a line are collected and subjected to multi-scale time sequence decomposition, and key components representing local climate change features are obtained. Generating a microclimate distribution field according to wire space exposure feature interpolation; and calculating the space complexity on the microclimate distribution field, and generating a fractal energy diagram representing the local icing sensitivity. According to the method, the stability and precision of icing type identification are remarkably improved, and high-reliability technical support is provided for icing early warning, operation and maintenance scheduling and safety protection of the power transmission line.

The present application relates to the technical field of ocean surveying and mapping, in particular to a seabed terrain inversion method based on terrain relief constraint neural network, comprising: constructing a terrain relief constraint neural network model, selecting a local standard deviation method and selecting a 9*9 moving window to calculate terrain relief information at the center point of the grid, and training the terrain relief constraint neural network model; the RANN method proposed in the present application introduces terrain relief information into the neural network as input, which weakens the influence of terrain relief difference on the model, especially in complex sea areas with terrain relief greater than 400 m, effectively improving the model inversion accuracy in the area with large terrain relief.