450 results about "3d topography" patented technology

The invention provides a multi-means fusion unmanned aerial vehicle countering method and system, and the method comprises the steps: obtaining three-dimensional topographic data, atmospheric turbulence features and electromagnetic spectrum features in real time through deploying a distributed sensing array in a target region, constructing a multi-layer virtual signal barrier boundary, and generating a frequency band interference parameter set; when it is detected that the unmanned aerial vehicle passes through the barrier boundary, the cooperative interference module is triggered to generate an initial interference signal weight, polarization direction distribution and power density distribution are dynamically corrected in combination with electromagnetic scattering characteristics fed back by the unmanned aerial vehicle in real time, and the initial interference signal weight serves as flight path modeling input and is used for generating a three-dimensional dynamic flight path model; according to the method, the azimuth angle correction, the elevation angle compensation coefficient and the energy gradient parameter of the ground interception equipment are calculated, and then the dynamic interception strategy is generated through the dynamic strategy fuser, so that the interference and interception efficiency of the unmanned aerial vehicle is improved through fusion and dynamic closed-loop control of excessive means, and the full-link closed loop from environmental perception to interception control is realized.

The invention discloses a VR-based unmanned aerial vehicle inspection method and system, a storage medium and a program product, and the method comprises the steps: calculating a low-polygon terrain model, and carrying out the subdivision smoothing processing, and obtaining a three-dimensional terrain image; matching and registering the panoramic image sequence and the three-dimensional topographic image to obtain a point cloud map; generating a virtual mining area environment map; calculating image quality parameters; when the image quality parameter is lower than a preset threshold value, generating a semi-real and semi-virtual fusion display picture; transmitting the semi-real and semi-virtual fusion display picture to a VR helmet for display, and synchronizing the attitude information of the unmanned aerial vehicle to the VR helmet; when it is determined that a fatigue feature appears according to the brain wave data, the unmanned aerial vehicle is controlled to be switched to a preset autonomous flight mode; constructing a virtual anti-collision boundary; and obtaining an optimized flight path according to the virtual anti-collision boundary, and controlling the unmanned aerial vehicle to inspect according to the optimized flight path. The continuity and reliability of the inspection task are improved, and the safety risk of the inspection task is reduced.

The invention provides a GNSS-RTK-based topographic mapping method and system, and the method comprises the steps: obtaining multi-source positioning signal data in a target region, the multi-source positioning signal data comprising a satellite original observation value, a receiver antenna phase center deviation parameter, and real-time dynamic differential correction information; performing multi-path interference suppression processing on the multi-source positioning signal data to generate a phase observation sequence after interference suppression; inputting the phase observation sequence after interference suppression into a topographic feature calculation model, and extracting topographic elevation change feature parameters of the target area; performing spatial fusion processing based on the terrain elevation change characteristic parameters and reference elevation parameters in a preset terrain database to generate three-dimensional terrain curved surface data of the target area; and dynamically adjusting the topographic map updating frequency according to the difference degree between the three-dimensional topographic surface data and the historical topographic surveying and mapping result, and outputting a real-time topographic surveying and mapping result. According to the invention, precision, real-time performance and resource efficiency can be considered in complex terrain environment application.

The invention belongs to the technical field of topographic mapping, and discloses a topographic mapping system and method based on an unmanned aerial vehicle, and the method comprises the steps: a data collection module collects map geological data; the route planning module plans an optimal driving route; the data acquisition module acquires topographic images and point cloud data; the environment parameter monitoring module monitors flight environment parameters in real time; the image data analysis module is used for preprocessing and analyzing the image data; the radar data analysis module preprocesses and analyzes the radar data; the feature extraction and matching module performs feature extraction and matching on the image and the point cloud data; the terrain model construction module constructs a terrain three-dimensional model; and the terrain analysis module performs quantitative analysis on the terrain. According to the method, key feature extraction is performed on images and point cloud data, and image splicing and point cloud registration are realized; the terrain model construction module constructs a three-dimensional terrain model according to feature extraction and matching results, and the terrain analysis module obtains accurate terrain information.

The invention relates to a terrain real scene modeling method, device and equipment and a storage medium thereof. According to the method, multi-source heterogeneous data related to the terrain in a target area is integrated, a multi-modal data cube is generated through noise filtering and data fusion under a unified coordinate system, then a data cavity area is identified based on density clustering and elevation gradient analysis, and geophysical features are extracted. Innovatively constructing a neural implicit inference model fused with physical constraints to perform joint modeling on the earth surface and underground structures, and finally converting implicit terrain representation into an explicit three-dimensional terrain model; seamless fusion modeling of the earth surface and the underground space under the complex shielding environment is achieved, the physical rationality of the model and the hidden area reconstruction precision are remarkably improved, meanwhile, it is ensured that the generated model strictly conforms to the geological physical law, and the geological engineering safety and the planning reliability are effectively guaranteed.

The invention discloses a high-precision topographic mapping system and method based on multi-source remote sensing data, and relates to the technical field of topographic mapping, and the method comprises the steps: obtaining an optical remote sensing image, a radar remote sensing image, LiDAR point cloud data and meteorological index data of a target region, and carrying out the data preprocessing of the optical remote sensing image, the radar remote sensing image and the LiDAR point cloud data; obtaining the surface feature types of the target area and the coverage area of each surface feature type, and carrying out the weighted fusion of the optical remote sensing image and the radar remote sensing image of the target area according to the surface feature types of the target area and the coverage area of each surface feature type, and obtaining a self-adaptive fusion remote sensing image; according to the method, points in LiDAR point cloud data are divided into distinguished ground points and non-ground points, a digital elevation model is constructed according to the ground points in the LiDAR point cloud data, three-dimensional modeling of the terrain is performed on the basis of the digital elevation model in combination with texture information of a self-adaptive fusion remote sensing image, a three-dimensional terrain model is generated, and the terrain surveying and mapping precision is remarkably improved.

The invention provides a high-precision topographic mapping and three-dimensional modeling system based on an unmanned aerial vehicle, and the system comprises an unmanned aerial vehicle cooperation module which is used for deploying a multi-source sensor and a sensor electronic interface on the unmanned aerial vehicle, and building a distributed network of the unmanned aerial vehicle; the real-time dynamic positioning module is used for acquiring unmanned aerial vehicle positioning data and an initial target terrain map; the autonomous control module is used for generating a flight path, performing dynamic adjustment, constructing an autonomous flight control model and outputting a flight control instruction; the data quality enhancement module is used for performing parameter adjustment on the real-time data and performing space and signal level combined processing on the real-time data so as to enhance the data quality; and the terrain model optimization module is used for processing the laser radar point cloud data so as to construct a three-dimensional terrain model post-processing module, and carrying out data visual display and flight suggestion generation. According to the method, the positioning and modeling precision is greatly improved, efficient surveying and mapping are achieved, the single-point fault risk is reduced, and it is guaranteed that tasks can be completed in a high-safety, high-precision and intelligent mode.

The invention provides a three-dimensional topographic surveying and mapping system based on a remote sensing technology, and relates to the technical field of data processing, and the system comprises the steps: calculating the zenith angle and azimuth angle of the sun according to the shooting time and geographic position information of remote sensing data; constructing a second mapping relation among the light source vector, the zenith angle and the azimuth angle by using the zenith angle and the azimuth angle of the sun; according to the normal vector information and the light source vector in the first mapping relation, the reflected light intensity of each area is calculated; based on calculation of the reflected light intensity and remote sensing data of each region, obtaining prior normal vector information of the surface of the target terrain region through inversion calculation; and correcting the normal vector information in the first mapping relation based on the prior normal vector information to obtain corrected normal vector information. According to the invention, the precision and reliability of three-dimensional topographic surveying and mapping can be improved.

The invention provides a three-dimensional visual model construction method and system for a mine slope, and relates to the technical field of data processing, and the method comprises the steps: obtaining the inclined image data of the mine slope; performing error correction on the inclined image data; performing live-action modeling according to the inclined image data after error correction to obtain a three-dimensional grid model and a point cloud data file; generating a digital terrain model according to the point cloud data file; extracting a contour line of the digital terrain model, and exporting a contour line file; generating a three-dimensional terrain curved surface by using a terrain data generator according to the contour line file; the three-dimensional terrain curved surface extends downwards by a preset depth, and a three-dimensional entity slope model is generated; physical parameters of side slope rock soil are set, and a Moire-Coulomb intensity criterion is given to the three-dimensional entity side slope model so as to simulate shear failure characteristics of the rock soil; on the basis of shear failure characteristics of rock and soil, grid division is carried out on the three-dimensional solid slope model; and generating a three-dimensional visual model of the mine slope.

The invention discloses a wharf shoreline terrain reconstruction method based on remote sensing data, and belongs to the technical field of three-dimensional terrain reconstruction. The method comprises the following steps: acquiring a multi-temporal multispectral remote sensing image, a synthetic aperture radar image, a laser radar point cloud and synchronous tidal water level data of a target wharf area; processing the multispectral image to generate an initial land and water segmentation map; carrying out tide correction by utilizing the tide water level data, fusing the multi-polarization characteristics of the synthetic aperture radar image, and correcting the ground feature type to obtain an accurate land and water boundary diagram; processing the laser radar point cloud to generate a digital surface model, extracting a shoreline contour with sub-pixel-level precision from the digital surface model, and endowing the shoreline contour with an elevation value; and superposing the shoreline contour with the elevation with the multispectral image to generate a three-dimensional terrain model. According to the method, the problems of low terrain reconstruction precision, large tide influence and insufficient automation degree of a traditional method in a complex wharf environment are solved, and high-precision and high-efficiency wharf shoreline three-dimensional automatic reconstruction is realized.

The embodiment of the invention provides a water conservancy project intelligent processing system based on BIM and GIS. The water conservancy project intelligent processing system comprises the steps that material strength and construction timestamps of engineering components are extracted through a BIM parser to generate a topological relation graph; combining the remote sensing image and the geological data through a coordinate converter to determine a three-dimensional terrain field; establishing a spatial Hash grid correlation topological relation graph and a three-dimensional terrain field; constructing a digital twinborn body containing structural stress distribution and a hydrodynamic model on the basis of a correlation result; executing Monte Carlo simulation in the digital twin according to the real-time sensor data to generate a prediction scene set; when abnormal data is monitored, performing reverse tracing along the topological relation graph to generate a multi-factor association graph; and optimizing a disposal plan weight coefficient through a reinforcement learning algorithm and updating the knowledge base. Pixel-level matching of the rock-soil layer permeability coefficient and the concrete member strength is achieved, the system can recognize the coupling relation between a geological weak area and a structural high-risk point, meanwhile, a knowledge graph containing a construction time sequence is constructed, and a cause chain of quality defects can be traced.

The invention relates to the technical field of ocean engineering surveying and mapping, and particularly provides an ocean engineering surveying and mapping terrain correction method based on multi-beam sounding. The method comprises the following steps: constructing a tremor-sound velocity coupling model through multi-source data synchronous acquisition, and generating a sound velocity dynamic correction term; fusing the static sound velocity profile, the internal wave disturbance term and the sound velocity correction term, and establishing a time-shifting sound velocity field of spatio-temporal evolution; realizing dynamic space homing calculation through a double-shaft decoupling rotation matrix based on a hull attitude and a time shifting sound velocity field; tunnel effect noise is suppressed by adopting an airspace adaptive filtering technology; the terrain deformation rate is calculated in combination with continuous cycle data, and a deformation threshold value is dynamically set through soil mechanical parameters to trigger graded safety early warning; and outputting the high-precision three-dimensional terrain model without the sound velocity error and the noise interference. According to the method, the problems of geological activity interference compensation deficiency, tunnel effect noise suppression insufficiency, large dynamic environment homing error and the like in traditional surveying and mapping are solved, and the reliability of complex sea area topographic survey is remarkably improved.

The invention discloses a three-dimensional terrain modeling analysis and adaptive navigation system and method, and relates to the technical field of navigation. A laser radar in the system is used for acquiring point cloud data of an area where a to-be-navigated device is located in real time; the IMU is used for measuring the acceleration and the angular velocity of a to-be-navigated device in real time; the data fusion sub-module is used for preprocessing the point cloud data, the acceleration and the angular velocity in real time and fusing the preprocessed data; the three-dimensional map modeling sub-module is used for constructing a three-dimensional map model according to the point cloud data by adopting an SLAM algorithm in real time; the three-dimensional terrain analysis module is used for determining terrain features of all points in the three-dimensional map model in real time; and the adaptive navigation module is used for performing path planning on the to-be-navigated device according to the three-dimensional map model and the topographic features of each point in real time to realize navigation. According to the invention, the precision of original data can be improved, the positioning precision is improved, and accurate navigation is realized.

The invention provides a three-dimensional war game map construction method based on DEM and remote sensing ground feature classification, which comprises the following steps: obtaining digital elevation model DEM data, performing block and layer processing on the digital elevation model DEM data through secondary quadtree index coding, and performing data conversion; constructing a regular grid model based on the DEM data after data transformation; performing terrain rendering by using the regular grid model in combination with hardware to generate a three-dimensional terrain; performing terrain texture mapping on the obtained three-dimensional terrain based on remote sensing terrain classification so as to position and map the texture of a specific landform on the terrain; based on a multi-channel mixed color map Splatmap, texture mixing processing is carried out on the three-dimensional terrain subjected to terrain texture mapping, and natural transition between terrain textures in a real scene is simulated; in addition, dynamic scheduling and real-time drawing are realized in combination with a multi-thread mechanism and an object pool strategy. Compared with the prior art, the method has the advantages of high three-dimensional terrain generation efficiency and real texture mapping.

An optical imaging system to image a target object includes a light source configured to emit one or more light rays to illuminate the target object and an image detector configured to capture a three-dimensional topography image of the target object when emitted light is emitted from the target object in response to being illuminated by the light rays emitted by the light source. A fluorescence image detector captures a fluorescence image of the target object when fluorescence is emitted from the target object in response illumination by light rays emitted by the light source. A controller instructs the image detector to capture the 3D topography image and the fluorescence image detector to detect the fluorescence image of the target object intraoperatively and to co-register and simultaneously display intraoperatively the co-registered topography and fluorescence information to the user via a display.

The invention discloses an underwater topographic survey method and system based on unmanned ship data acquisition, and relates to the technical field of underwater topographic survey, and the method comprises the steps: generating a dynamic environment map based on acquired multi-modal environment data; dynamically sensing the underwater environment by using a deep Q learning algorithm based on the dynamic environment map, and predicting a potential topographic change probability; judging whether to update the dynamic environment map or not according to the predicted potential terrain change probability, and planning a navigation path by utilizing the updated dynamic environment map based on an RRT algorithm; collecting topographic data based on the navigation path, generating a three-dimensional topographic model, and detecting a shadow region in the three-dimensional topographic model by using U-Net; according to the detected shadow area, generating a complementary collection point through geometric analysis, adjusting a navigation path according to the complementary collection point, performing complementary collection on the shadow area, and obtaining complementary collection data; and fusing the complementary collection data with the three-dimensional terrain model to generate a terrain survey report. According to the invention, through dynamic environment perception, path planning, shadow area detection and supplementary mining, the efficiency and precision of underwater topographic survey are improved.

The invention discloses a dam piping checking method, device, system and equipment, and relates to the field of dam piping detection. The method comprises the following steps: determining a first piping suspected point from a thermal infrared image; determining a second piping suspected point in the visible light image; determining the same piping suspected point in the first piping suspected point and the second piping suspected point as a first piping point; reconstructing a three-dimensional terrain digital elevation model according to the laser point cloud data; determining the material type of an object in the target dam investigation area according to the laser radar reflection signal; matching objects in the first piping suspected point, the three-dimensional terrain digital elevation model and the target dam troubleshooting area; according to the matched three-dimensional terrain digital elevation model and the material type of the object, misjudged piping suspected points in the first piping suspected points are deleted, and second piping points are obtained; and determining the first piping point and the second piping point as the piping points of the target dam investigation area. According to the invention, the accuracy of dam piping point troubleshooting can be greatly improved.

The invention discloses a spatial planning three-dimensional visualization method based on geographic information, which relates to the field of spatial planning and comprises the following steps: acquiring and analyzing remote sensing image data to obtain attribute data and digital elevation data; obtaining and analyzing an actually measured topographic map to obtain vector data; establishing a three-dimensional terrain database by combining the digital elevation data, the vector data and the remote sensing image data; collecting ground building data, generating a building model, and establishing a three-dimensional building model library; acquiring public facility information, and establishing a basic service facility model library; combining the three databases with attribute data to establish a three-dimensional visual GIS database; according to the planning and design scheme, obtaining corresponding three-dimensional visual GIS database data, and establishing a three-dimensional visual area model; a three-dimensional surface dynamic model is generated through a three-dimensional visualization GIS database, and a three-dimensional visual area model is deduced; and based on the deduction result, comparing and optimizing the planning and design scheme.

The invention relates to the technical field of water conservancy surveying and mapping, in particular to a detection method and device for rapidly constructing an underwater terrain of a dike breach based on unmanned aerial vehicle carrying. Aiming at the defects of underwater terrain detection at the current dike breach, the method comprises the following steps of: acquiring water flow speeds, water flow depths, infrared spectrum images and visible light images of a plurality of point clouds by unmanned aerial vehicle carried equipment; processing the water flow depth according to a related algorithm, and processing the infrared spectrum image by using an image processing algorithm to obtain a breach obstacle map; and processing the visible light image by adopting an image processing algorithm to obtain the edge information of the breach, and finally generating a three-dimensional terrain model of the breach in the same coordinate system according to the edge information of the breach, the corrected water flow depth and the breach obstacle map. According to the method, the underwater terrain at the dike breach can be rapidly, accurately and safely detected, and the method is of great significance in improving the plugging engineering efficiency, optimizing the plugging scheme and ensuring the safety and effectiveness of plugging work.

The invention discloses an indoor water tank sediment pushing characteristic acquisition system and method, the system mainly comprises a water tank main body, a buffer unit, a drainage adjusting unit, a sediment throwing device, an imaging unit, an adjustable support and a data processing unit, and according to the method, non-contact data acquisition is carried out through a high-definition camera and a three-dimensional terrain measuring instrument; automatic identification, parameter extraction and migration speed calculation of landforms such as sand waves are achieved, the sediment bed surface is not touched in the whole process, damage to the bed surface form caused by traditional contact type measurement is eliminated, and the authenticity and reliability of data are ensured. Meanwhile, the buffer design of the combination of the flow slowing plate and the multi-stage water baffle is adopted, the kinetic energy of water flow is effectively dissipated through the graded water outlet structure, the impact force of injected water flow is greatly reduced, the bed surface is prevented from being scoured in the initial water injection stage, and the stability of the initial test condition is powerfully protected.

A method, device, equipment and medium for locating water accumulation based on three-dimensional oblique photography of unmanned aerial vehicles. A three-dimensional virtual scene graph is constructed based on three-dimensional terrain data obtained by oblique photography of unmanned aerial vehicles, and a target fitting plane is generated by fitting its point cloud data through a random sample consistency algorithm. The uneven area set is determined according to the height difference between each point cloud and the target fitting plane; the road surface image obtained by a vehicle-mounted camera is input into a water accumulation detection model generated by training an adaptive dynamic channel pruning strategy to obtain a detection frame set, and the strategy is to calculate the square of the channel weight amplitude and normalize it to the sum of the weight squares of all retained channels in the same layer to obtain an adaptive dynamic channel pruning score and prune the channel according to its size; the uneven area set and the detection frame set are weightedly fused to obtain a fused detection area; the fused detection area with a confidence greater than a confidence threshold is taken as a water accumulation area and its coordinates are output, which can improve detection efficiency and reduce costs.

The invention relates to the field of hydrological monitoring, in particular to a hydrological monitoring early warning method and system based on an unmanned aerial vehicle. The method comprises the following steps: acquiring a panoramic continuous aerial image of a to-be-monitored area; adaptive histogram equalization and image time delay interpolation optimization are carried out on the panoramic continuous aerial image of the to-be-monitored area to construct a time delay optimized continuous image; performing water body landform semantic analysis on the time delay optimized continuous image, performing real-time three-dimensional landform modeling, and constructing a real-time three-dimensional landform model; performing continuous frame optical flow tracking on the time delay optimized continuous image, performing inter-frame optical flow motion vector calculation, and generating a water level fluctuation curve and surface ponding area change characteristics; and carrying out instant hydrological state rendering on the real-time three-dimensional terrain model according to the water level fluctuation curve and the surface ponding area change characteristics so as to construct a dynamic hydrological state evolution model. According to the invention, accurate and efficient hydrological monitoring and early warning are realized, and the safety of the hydrological basin is improved.

The invention relates to the technical field of terrain monitoring, and discloses a terrain change monitoring system based on image analysis, and the system is characterized in that an image obtaining module is used for obtaining multi-source image data, carrying out the fusion, and generating a fused image; the preprocessing module is used for preprocessing the fused image to obtain a preprocessed to-be-analyzed image; the analysis module is used for constructing a dual-channel deep convolutional network, analyzing the preprocessed to-be-analyzed image and detecting a topographic change area; the generation module is used for processing the detected terrain change area by adopting an incremental point cloud processing technology, and generating a three-dimensional terrain difference model and a settlement area volume change thermodynamic diagram in real time by combining a Poisson surface reconstruction algorithm; the early warning module is used for analyzing the generated three-dimensional terrain difference model and the volume change thermodynamic diagram, calculating parameters of terrain change and performing early warning processing; according to the method, the topographic change is accurately evaluated, and the accuracy and reliability of early warning are improved.

The invention provides a three-dimensional terrain modeling method and system. The modeling method comprises the following steps: acquiring a plurality of aerial photos of a to-be-modeled region, wherein ground control points of the aerial photos are not marked; generating a first sparse point cloud set and a rough three-dimensional terrain model of the to-be-modeled region based on the aerial photo of each unmarked ground control point; automatically marking ground control points on each aerial photo based on the rough three-dimensional terrain model; generating a second sparse point cloud set of the to-be-modeled region based on the aerial photo of each marked ground control point; and generating a dense point cloud set and a fine three-dimensional terrain model of the to-be-modeled region based on the second sparse point cloud set. According to the modeling method provided by the invention, the marking speed is effectively improved while the marking precision of the ground control points is improved, and the efficiency of high-precision three-dimensional terrain modeling is remarkably improved on the whole.

The invention discloses a virtual karst landform scene construction method based on DEM and deep learning. The method comprises the following steps: firstly, extracting a saddle point, a mountain top point and a slope toe line of a karst landform DEM; converting the topographic feature elements into three-dimensional topographic feature elements in a gray value range of 0-255, combining the feature elements into an RGB three-waveband image, cutting the RGB three-waveband image into topographic feature samples with the size of 256 * 256, and splicing the topographic feature samples with the normalized DEM at the corresponding position to generate a training sample set; then training the CGANs network by using the training sample set; finally, the three-dimensional saddle point, the mountain top point and the slope toe line are hand-drawn according to development needs, three-dimensional topographic feature elements are synthesized and input into the trained karst landform construction model, a virtual karst landform scene is constructed, the method has the advantages of being low in cost and short in time consumption, and the development efficiency is improved. And a virtual karst landform scene which is high in trueness and meets the geographic law is provided for the virtual scene application fields of games, movies and televisions and the like.

A method for adaptive user training and gaming utilizing a media player is disclosed that includes acquiring images from cameras surrounding a training environment and attempting to segment a ball and a human in each of the images, wherein when failing to segment either the ball or the human in a first image, the first image is rejected from further processing. The operations additionally include creating masks of the ball and the human, extracting features for both the ball and the human in each of the remaining images, and computing surface information of the training environment using photoclinometry. For each of the remaining images, the operations includes computing a distance between the ball and the human. Additionally, the operations include identifying an image having the greatest distance between the ball and the human and computing a three-dimensional topography from the identified image.

The invention relates to a road understanding method and device under the conditions of satellite denial and no prior map. The method comprises the following steps: generating global guide information by using a spline curve according to satellite map marking points; fusing the laser radar point cloud data to construct a three-dimensional terrain model, extracting roughness and a normal vector to obtain a corresponding graph, and constructing an environment trafficability graph; then, defining a credibility value for each graph, fusing a roughness graph and a normal vector graph evidence, and carrying out basic probability distribution fusion with a trafficability graph to obtain final data; determining a passable area based on the global guidance information and the final data, estimating the width of the passable area, and calculating the current position, angle expectation and standard deviation in combination with the local guidance information; and finally, calculating posteriori estimation by taking the distance as a measured value, and analyzing a boundary, so as to obtain a corrected guide path and a passable area. By adopting the method, the path generation accuracy can be improved.

The invention provides a terrain rendering method and device for a virtual scene, electronic equipment, a computer readable storage medium and a computer program product, and the method comprises the steps: obtaining a plurality of three-dimensional grids in a view cone corresponding to the virtual scene, and enabling the three-dimensional grids to be obtained through dividing a three-dimensional terrain in the virtual scene; for each three-dimensional grid, obtaining a division grade corresponding to the three-dimensional grid, and determining a texture grade of the three-dimensional grid based on the division grade; obtaining texture parameters of the three-dimensional grids in the rendering process based on the texture levels of the three-dimensional grids, and rendering the plurality of three-dimensional grids based on the texture parameters and the division levels corresponding to the three-dimensional grids to obtain a target image; wherein the target image is used for indicating a topographic image in a view field range indicated by the view cone in the virtual scene. In this way, the rendering efficiency and the rendering effect can be improved when the terrain of the virtual scene is rendered.

The invention discloses a passive Fourier infrared spectrum gas telemetering control system, which relates to the technical field of telemetering control and comprises an environment sensing module, a dynamic interference correction module, a multi-modal fusion module, a decision display module and an execution feedback module. The environment sensing module synchronously obtains three-dimensional topographic data, a surface reflection polarization state and atmospheric turbulence intensity parameters through a laser radar, a multispectral polarization camera and a quantum meteorological sensor, generates a dynamic topographic-meteorological coupling field model, and corrects spectral signals in real time based on the coupling field model. The terrain reflectivity, the slope angle, the polarization state and the turbulence intensity are comprehensively considered, the accuracy and robustness of spectral signal correction are improved, the AR holographic projection unit is used for converting four-dimensional data into a three-dimensional visual scene in real time, a three-level early warning mechanism is established, and the decision making efficiency and the response speed are improved.

The invention provides a modeling method and system for fusing live-action three-dimensional data and a digital model, and the method comprises the steps: obtaining real-time point cloud data in a preset terrain scene, taking the real-time point cloud data as the live-action three-dimensional data, and loading a digital model as a global terrain reference; carrying out optimization processing on the live-action three-dimensional data, and carrying out space-time alignment on the optimized live-action three-dimensional data and the digital model to generate an alignment data set; and determining a final fusion weight of the aligned live-action three-dimensional data and the aligned digital model based on the spatial distribution density and the terrain curvature value of the aligned data set so as to perform fusion processing on the aligned live-action three-dimensional data and the aligned digital model to generate a three-dimensional terrain model. Modeling of fusion of live-action three-dimensional data and a digital model is realized; according to the method, the problems of non-uniform space-time reference of multi-source data, surface distortion of a fusion model and detail loss in a complex terrain scene are solved, and high-precision and high-integrity live-action three-dimensional and terrain reference data fusion modeling is realized.