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315 results about "Digital surface" patented technology

Three-dimensional optimizing route selection method based on airborne laser radar

The invention discloses a three-dimensional optimizing route selection method based on an airborne laser radar. The method comprises the following steps of: carrying out flight design according to a feasible route of a line, and acquiring flight field data by the laser radar according to design parameters; carrying out united computation on laser ranging data and POS system positioning data to obtain laser point cloud data through pre-processing the data; post-processing the data to obtain a point cloud classification map, a digital elevation model (DEM), a digital surface model (DSM), a contour line and a digital orthoimage map (DOM); importing into a three-dimensional optimizing route selection system, selecting a line route, checking peripheral landform of a line corridor, and carrying out optimization design on the line; combining with a three-dimensional image and a plane section, carrying out operations of pre-arranging poles and arranging poles in a route selection software, and outputting an image route diagram; and drawing the plane section of the route, and carrying out alignment survey. The method utilizes the section view and the orthoimage in the three-dimensional optimizing route selection system to realize the operations of pre-arranging the poles and arranging the poles, so as to generate a plane section diagram needed by power industry department, and the operation efficiency of route selection is improved.
Owner:MIANYANG SKYEYE LASER TECH

Method for measuring image and inspecting quantity under light detection and ranging (LiDAR) three-dimensional environment

InactiveCN101777189ASolve the problem of direct production of digital linear graph (DLG) productsImprove practicalityImage analysisPicture interpretationMultiple sensorSoftware
The invention relates to the technical field of mapping, in particular to a method for measuring image and inspecting quantity under the light detection and ranging (LiDAR) three-dimensional environment, comprising the following steps of: respectively manufacturing a digital surface model (DSM), a digital evaluation model (DEM) and a digital ortho image (DOM) according to multiple sensor data obtained by the LiDAR system, respectively layering and partitioning the DSM, the DEM and the DOM in advance, laminating the DSM, the DEM and the DOM to construct a three-dimensional environment, three-dimensionally measuring mark and intersecting, acquiring and cataloging digital line graphic (DLG) elements, and inspecting quality of the DLG. The invention breaks through the limitation that photogrammetric survey needs complex flow chart of data processing and professional photogrammetric survey equipment and software to construct stereopair by two photos, solves the problem that the LiDAR system directly generates the DLG products, shortens the period of DLG production by the LiDAR system, largely improves the practicability and the use value of the LiDAR system, and provides the base for the large-scale application of the LiDAR system in mapping, electricity, city planning, geology and design of road and railway.
Owner:WUHAN UNIV

Method for rapidly constructing three-dimensional architecture scene through real orthophotos

The invention provides a method for rapidly constructing a three-dimensional building scene through an actual projective image, which concretely comprises following steps of: firstly, extracting the top surface of a building through the actual projective image, obtaining a plane vector diagram, and simultaneously obtaining a vector plane coordinate; secondly, respectively carrying out building top surface triangularization process and ground polygonal triangularization process for the plane vector diagram obtained from the first step and generating a building model and a ground model through combining digital surface model data and digital height model data; thirdly, combining the building model and the ground model to form a three-dimensional scene model; fourthly, carrying out veining mapping superposition for the three-dimensional scene model and the actual projective image and generating the three-dimensional building scene. The method accelerates the modeling speed of the three-dimensional building scene and reduces the manual operation time of modeling mapping design. When the method is used, once modeling and vein mapping can be carried out to a specific zone; true and effective three-dimensional visual effect is obtained; and the working capacity of scene modeling is greatly lowered.
Owner:关鸿亮

Urban vegetation classification method based on unmanned aerial vehicle images and reconstructed point cloud

The present invention provides an urban vegetation classification method based on unmanned aerial vehicle images and reconstructed point cloud. The method comprises the steps of: performing point cloud reconstruction of original unmanned aerial vehicle images; generating nDSM (normalized digital surface model) information of a research area; performing vegetation index calculation based on visiblelight; and performing classification discrimination of image objects. The method provided by the invention reconstructs point cloud of the research area based on a structure from motion (SFM) and cluster multi-view stereo (CMVS) and based on a patch-based multi-view stereo (PMVS) algorithm, performs filtering and interpolation to generate a digital elevation model (DEM) of the research area and the nDSM, and combines image spectral information to perform classification extraction of urban vegetations with different heights; an image analysis method facing the objects is employed to achieve differentiation of the categories of vegetations with different heights according to spectral information such as the nDSM information, normalized green-red difference indexes (NGRDI) and visible lightwave band difference vegetation indexes (VDVI) so as to greatly improve the differentiation precision.
Owner:HENAN POLYTECHNIC UNIV

UAV and LiDAR integrated forest stand characteristic inversion method

The invention a UAV and LiDAR integrated forest stand characteristic inversion method. UAV data is combined with LiDAR data to extract typical forest stand characteristic, a 3D point cloud, which is generated by utilizing a feature point matching algorithm and aerotriangulation, of a research region serves as a digital surface model, a crown canopy model is calculated by combining the digital surface model with a digital terrain model extracted by LiDAR, a multiple regression estimation model is established by combining practically measured forest stand investigation data of the ground and the extracted point cloud variable, and the precision of the multiple regression estimation model is verified. Canopy cloud point uses UAV data, and compared with LiDAR data, the flexibility is high, the cost is low, data is convenient to obtain, and the data can be observed in a long-term set-time repeated manner; terrain data is obtained by utilizing the penetrability of LiDAR, and the terrain is relatively stable, and can be used as basis of long-term observation data. UAV is combined with LiDAR, advantages of the two are used, and the forest state monitoring manner is cheap and flexible; and related analysis shows that cloud point variable and forest vertical information (the height of trees) which are extracted in a combined manner are highly sensitive.
Owner:NANJING FORESTRY UNIV

Shallow river water depth surveying and mapping method and system based on unmanned aerial vehicle multi-view shooting

The present invention discloses a shallow river water depth surveying and mapping system and method based on unmanned aerial vehicle multi-view shooting. The method comprises step S1: determining a surveying time, a surveying area and surveying precision; S2: setting ground control points GCPs in the surveying area, and using a positioning instrument to perform positioning on the control points; S3: planning a flight line of an unmanned aerial vehicle, and performing aerial shooting according to the pre-determined air line; and S4: using unmanned aerial vehicle image analysis software to process an image of the multi-view shooting in step S3, surveying an orthoimage and a digital surface elevation model of the area, and applying an optical model water depth inverse program to perform refraction correction and to perform inversion to obtain a water depth value of a shallow river. Compared with conventional GPS measurement, total station measurement and echo sounding, the method is time-saving, labor-saving and cost-saving, causes no damage to a water body and a river bed, and has relative high execution efficiency; and water depth surveying and mapping is extended from point measurement to face measurement, a relatively high spatial resolution is provided, and water depth measurement precision and a spatial resolution are also improved.
Owner:INST OF GEODESY & GEOPHYSICS CHINESE ACADEMY OF SCI

Three-dimensional live-action modeling method based on aerial survey of unmanned aerial vehicle

The invention discloses a three-dimensional real scene modeling method based on aerial survey of an unmanned aerial vehicle. The three-dimensional live-action modeling method based on aerial survey ofthe unmanned aerial vehicle comprises the following steps that 1, three-dimensional live-action modeling is carried out, aerial survey data are obtained through aerial survey of an unmanned aerial vehicle, image analysis is conducted through an aerial triangular analysis method, a series of two-dimensional aerial images are converted into three-dimensional dense point clouds of the to-be-measuredconstructional engineering, then data post-processing is conducted, a digital line drawing map and a digital surface model of the to-be-measured constructional engineering are obtained, and a live-action three-dimensional model is obtained; performing live-action patrol of the to-be-tested constructional engineering based on the live-action three-dimensional model and real surface point cloud toobtain construction execution data of the to-be-tested constructional engineering; and based on comparison of the three-dimensional planning design and construction execution data of the to-be-testedconstructional engineering, researching and issuing a construction scheduling instruction, and checking and correcting the execution effect of the scheduling instruction. The three-dimensional real scene modeling method based on aerial survey of the unmanned aerial vehicle is high in efficiency and low in cost.
Owner:THE SIXTH CONSTR CO LTD OF CHINA NAT CHEM ENG

Vegetation classification method based on machine learning algorithm and multi-source remote sensing data fusion

The invention relates to the field of ecological environment monitoring, and discloses a vegetation classification method based on a machine learning algorithm and multi-source remote sensing data fusion, which is used for efficiently realizing identification and classification of vegetation types in a target area. The method comprises the following steps: acquiring a low-altitude remote sensing image of terrestrial plants in a sample area by using an unmanned aerial vehicle, and acquiring a digital orthoimage and a digital surface model of the sample area based on the low-altitude remote sensing image; extracting elevation information of the digital surface model; acquiring an SAR image of a sample region corresponding to the aerial photography time of the unmanned aerial vehicle by utilizing satellite remote sensing; carrying out wave band and image fusion on the digital orthoimage, the elevation information and the SAR image; performing inversion model training and inversion model precision evaluation on the fused image through sample area actual measurement data and a machine learning algorithm to obtain an inversion model meeting requirements; and finally, classifying terrestrial plants in the target area based on the inversion model. The method is suitable for terrestrial plant ecological environment monitoring.
Owner:CHINA HYDROELECTRIC ENGINEERING CONSULTING GROUP CHENGDU RESEARCH HYDROELECTRIC INVESTIGATION DESIGN AND INSTITUTE

Low-altitude flight simulation method for airborne geophysical prospecting of unmanned aerial vehicle

The invention discloses a low-altitude flight simulation method for airborne geophysical prospecting of an unmanned aerial vehicle. A laser radar mounting flight is introduced to before-flight simulation, accuracy DSM (digital surface model) data of a work zone are acquired, and more-complete altitude data are provided for low-altitude flight simulation. The low-altitude flight simulation method is capable of accurately simulating various postures of low-altitude flight of the unmanned aerial vehicle on planned flight paths and evaluating whether ground barriers (signal towers, telegraph poles, tall trees, buildings, high-rise buildings and bridges and the like) in the flight paths of the unmanned aerial vehicle damage flight safety of the unmanned aerial vehicle or not, flight altitude over the ground during low-altitude flight of the unmanned aerial vehicle is visually analyzed from simulation results, safety of the ultralow-altitude flight of the unmanned aerial vehicle in the flight paths is judged, modification of the prior art is reduced, operation efficiency is improved, flight safety of the unmanned aerial vehicle is guaranteed, mountain collision during flight of the unmanned aerial vehicle is avoided, and airborne geophysical prospecting of the unmanned aerial vehicle is effectively assisted.
Owner:CHINA ACAD OF AEROSPACE AERODYNAMICS
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