316 results about "Digital surface" patented technology

The invention provides a manufacturing method of a true digital ortho map (TDOM) based on a light detection and ranging (LiDAR) point cloud and an aerial image. The manufacturing method comprises the following steps of: carrying out pretreatment, organization and filtering in sequence on an airborne LiDAR point cloud so as to carry out feature extraction; carrying out matching on stereo pairs of the original aerial image so as to obtain a stereo aerial image, and extracting the characteristic of the stereo aerial image, wherein the extracted characteristic of the stereo aerial image and the characteristic of the airborne LiDAR point cloud are of the same kind; carrying out registration on density point cloud of the stereo aerial image and the airborne LiDAR point cloud after filtering based on the extractive characteristic, so as to obtain a DSM (digital surface model); and manufacturing the TDOM according to the DSM. Compared with the prior art, the manufacturing method provided by the invention can rapidly generate high-quality TDOM.

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.

A computer-implemented method for generating an image-textured digital surface model (DSM) for a geographical area of interest including both buildings and terrain may include using a computer to generate a digital elevation model (DEM) of both the buildings and terrain for the geographical area of interest. The method may further include providing a collection of optical images including oblique optical images for the geographical area of interest including both buildings and terrain. The computer may also be used to selectively superimpose oblique optical images from the collection of optical images onto the DEM of both the buildings and terrain for the geographical area of interest and to thereby generate the image-textured DSM for the geographical area of interest including both buildings and terrain.

A set of sensors can capture raw data that geospatially corresponds to a real world volumetric space. The raw data can include point cloud data encoded in a light detecting and ranging (LiDAR) information format, imagery and video data, and elevation data encoded in a digital elevation model (DEM) or digital surface model (DSM) format. The real-world volumetric space can be segmented into a set of volumetric units, wherein datum of the raw data is indexed against the volumetric units. Each of the volumetric units of the real-world volumetric space can be mapped to a voxel in a storage volumetric space of a voxel database. The raw data can then be stored and fused in the voxel database such that each voxel in the voxel database represents a combination of volumetrically stored data for all source products that includes providing point cloud data, imagery data, and elevation data.

A geospatial modeling system may include a geospatial model database for storing images of a geographical area and a reference digital surface model (DSM) of the geographical area. The images each have associated with them respective first geolocation data with a first accuracy. The reference DSM may include second geolocation data with a second accuracy being greater than the first accuracy. The geospatial modeling system may further include a processor cooperating with the geospatial model database for generating an initial DSM based upon overlapping portions of the images, and aligning the initial DSM based upon the reference DSM to generate a georeferenced DSM having a third accuracy greater than the first accuracy.

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.

An apparatus for measuring distance to a surface is disclosed. The apparatus transmits at least one subsequent pulse of light prior to receiving a reflection of a previously sent pulse of light. Thus, multiple pulses of light are in-flight at a given time. The embodiments are applicable to terrain mapping, bathymetry, seismology, detecting faults, biomass measurement, wind speed measurement, temperature calculation, traffic speed measurement, military target identification, surface to air rangefinding, high definition survey, close range photogrammetry, atmospheric composition, meteorology, distance measurement, as well as many other applications. Examples of such apparatuses include laser ranging systems, such as light detection and ranging (LIDAR) systems, and laser scanners. Data received from the apparatus by a data processing unit can be used to create a data model, such as a point cloud, digital surface model or digital terrain model describing the surface, terrain, and / or objects.

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.

Changes in houses and buildings on a two-dimensional map are detected using three-dimensional data obtained from stereo images. A change detection device that detects changes in features that are targets described on a map has a stereo processor, a feature height calculator, and a demolition and / or new building detector. The stereo processor is inputted with a plurality of images taken of predetermined regions from a plurality of different positions, and extracts digital surface model data representing surfaces of the regions in three-dimensional coordinates. The feature height calculator extracts feature heights where an elevation of ground level is subtracted from the digital surface model data extracted by the stereo processor. The demolition and / or new building detector detect changes in the feature that are the targets described on a map by comparing feature height data and map data. An elevation region extractor extracts an elevation region that is a set of points having a height greater than or equal to the predetermined value, compares the elevation region and the map data, and detects changes in the feature constituting the targets.

An embodiment of the invention discloses a UAV route generation method, a UAV route generation device, a UAV and a storage medium. The UAV route generation method comprises the steps of: acquiring a digital surface model of a to-be-operated region, wherein the digital surface model comprises elevation information of the to-be-operated region; generating an initial route of the to-be-operated region according to the digital surface model, wherein the initial route comprises a flight height of the UAV; determining an obstacle avoidance region in the initial route according to the elevation information and flight height; and adjusting the initial route based on the obstacle avoidance region to generate a target route. The UAV route generation method and the UAV route generation device do notneed to adopt acoustic radar or optical radar ranging to determine obstacles, solve the problem of UAV explosion accidents because the UAV cannot avoid obstacles timely when acoustic radar or opticalradar ranging and obstacle avoidance is adopted, determine the obstacle avoidance region precisely by means of the elevation information of the digital surface model and flight height, can generate aneffective obstacle-avoiding fight route, and guarantee the flight safety of the UAV.

Electronic devices having digital reverberators are disclosed, together with a method of reproducing sound for a user with the digital reverberator. The digital reverberator uses digital surface absorption filters positioned in the reverberator to simulate absorption of energy as digital audio data samples are reflected from virtual surfaces. The position of the digital surface absorption filters enables known frequency-dependent surface absorption characteristics of real materials to be directly implemented using the filter coefficients of each digital surface absorption filter. This enables virtual acoustic spaces to be designed quickly without the need for the digital reverberator to be manually tuned for each space.

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.

The invention discloses an overhead transmission line crossover measurement method based on airborne laser radar data. The method comprises the following steps of: designing the flying route, flying height and system parameters and performing data acquisition; processing the laser radar data to obtain a laser point cloud data classification map, an DEM (digital elevation model), a contour line, a DSM (digital surface model) and a DOM (digital digital orthoimage), and performing overhead transmission line optimization design; determining the crossover position of the overhead transmission line, and selecting a corresponding item from a ground feature base and marking; performing crossover height measurement by comprehensively utilizing the laser point cloud data, DEM, DSM and DOM; and marking the linear crossover of the crossing angle to be measured and the designed line with vector lines, and measuring the crossing angle. According to the invention, the height and position of the crossover power line and the crossing angle parameter of the line are obtained by use of the laser point cloud data and the high-resolution orthoimage, and the precision and efficiency of the line crossover measurement are improved.

The invention discloses a rapid estimation method for solar energy in a construction size. The method includes the steps that by the comprehensive utilization of LiDAR data and high-resolution remote sensing image data, and three-dimension digital surface modeling is performed on objects such as urban constructions and trees; through simulation analysis of the attenuation effect, on direct solar radiation to the ground, of the atmosphere and the sheltering influence, on direct solar radiation energy obtained by construction surfaces including roofs and wall faces, by the urban objects, the solar energy obtained by the roofs and the wall faces of the urban constructions and dynamic estimated values are obtained. The rapid estimation method is suitable for specific application of using solar energy resources in the construction size in an urban region, wherein the specific application includes optimal configuration of energy resources, installation of solar photovoltaic equipment, design of green and environment-friendly constructions and the like.

The invention provides a building three-dimensional change detection method based on a LiDAR point cloud and an image. Through LiDAR data filter and interpolation, a high-precision digital surface model (DSM) is generated, difference is carried out on the DSM and a candidate change area is obtained, then through a relevant formula, the candidate change area is enabled to correspond to a two-dimensional image, and change areas on the image are extracted through edge extraction, linear feature matching, edge difference, and the like. The building three-dimensional change detection method has the advantages of being capable of making full use of elevation information which is provided by LiDAR point cloud data, at the same time, combining information of the two-dimensional image to conduct the three-dimensional change detection on a manual building, and significantly improving precision, breadth and depth of the change detection.

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.

The invention provides an automatic illegal building monitoring method based on an image and a realization system thereof. Through processing of an image, registration of digital surface models (DSM) of different phases, detection of elevation changes and confirmation of an illegal building, the problem that the building elevation changes are neglected based on spectral features or texture features in the prior art is solved, the automatic illegal building monitoring method based on the image carries out monitoring in a three-dimensional image mode, the monitoring precision is high, the monitoring is not influenced by environmental factors such as shadows and weather and error judgment is not likely to happen.

For performing a surface measurement procedure on one side of a complex part such as a stamped steel inner door panel having compound curves, a magnetic swiveling support device for securing the opposite side of the part without adding projecting structure such as clamps or fixtures on the one side which interferes with the measurement process. Functionally, the magnetic swiveling support provides a non-clamping apparatus to accurately secure a complex part having a curved surface for surface measurement by automatic digital measuring techniques and equipment.

A computer implemented system and method is disclosed for generating realistic three-dimensional models of roadway overpass structures. An example system comprises a segmentation module configured to identify roadway overpass regions, based on existing map data containing locations of roadway intersections, aerial imagery, and a digital surface model (DSM). A roadway overpass region is assumed to have at least a first and second road segment. A DSM provides an elevation z for each two-dimensional point (x, y). The segmentation module identifies the upper and lower roadway sections of an overpass structure and an extraction module generates a three-dimensional model of the overpass based on the segmented regions identified by the segmentation module. The extraction module combines aerial images with 3D computer models of overpass structures to generate a realistic 3D rendering of surface topography of the earth including roadway overpass structures.

The invention discloses a laser-point-cloud-based tower characteristic point automatic identification and inclination parameter automatic measurement method. The method comprises the following steps:preprocessing acquired original point cloud data; then, extracting towers from the processed point cloud data by adopting a normalized digital surface model, a maximum between-cluster variance method,connected domain segmentation and point cloud density segmentation, and finally, obtaining the inclination angle of the towers through a horizontal section method, thereby realizing laser point cloud-based tower feature point automatic identification and inclination parameter automatic measurement. According to the invention, automatic identification and inclination measurement can be carried outon the towers, so that manpower and material resources are greatly saved; and the method has important research significance for stable operation of a power system.

The invention discloses an on-line canopy height detection method for automatic control of the header height of a harvesting machine. The method comprises the steps that the point cloud data of crops in front of the harvester are acquired, and the point cloud data are converted from polar coordinates into a world coordinate system; a region of interest is established, and the point cloud data outside the region of interest are eliminated; noise points in the point cloud data are removed; the Delaunay irregular triangulation method is used to establish a digital surface model based on a small number of first control points; based on a small number of second control points, the Delaunay irregular triangulation method is used to establish a digital ground model; the digital ground model is subtracted from the digital surface model to acquire a canopy height model, and then acquire the canopy height. According to the invention, the canopy height in front of the harvesting machine and the ground height can be detected, and a data basis is provided for the intelligent control of the header height of the harvesting machine.

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.

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.

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.

A computer-implemented method for generating an image-textured digital surface model (DSM) for a geographical area of interest including both buildings and terrain may include using a computer to generate a digital elevation model (DEM) of both the buildings and terrain for the geographical area of interest. The method may further include providing a collection of optical images including oblique optical images for the geographical area of interest including both buildings and terrain. The computer may also be used to selectively superimpose oblique optical images from the collection of optical images onto the DEM of both the buildings and terrain for the geographical area of interest and to thereby generate the image-textured DSM for the geographical area of interest including both buildings and terrain.

System and method for detecting objects in geospatial images, 3D point clouds and Digital Surface Models (DSMs). Deep Convolution Neural Networks (DCNNs) are trained using positive and negative training examples. Using a rotation pattern match of only positive examples reduces the number of negative examples required. In DCNNs softmax probability is variant of rotation angles. When rotation angle is coincident with object orientation, softmax probability has maximum value. During training, positive examples are rotated so that their orientation angles are zero. During detection, test images are rotated through different angles. At each angle, softmax probability is computed. A final object detection is based on maximum softmax probability as well as a pattern match between softmax probability patterns of all positive examples and the softmax probability pattern of a target object at different rotation angles. The object orientation is determined at the rotation angle when softmax probability has maximum value.

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.

The invention relates to a method for extracting point cloud data of tree height based on a space three-dimensional template, which comprises the following steps: classifying original point cloud data to generate a digital elevation model (DEM), a digital surface model (DSM) and a tree canopy model (CHM) of a domain to be extracted; respectively computing the related coefficients of subdomains ofthe CHM and the template by introducing the space three-dimensional template; then marking the subdomains meeting requirements by utilizing a threshold distinguishing method; and finally performing adjacent superposition analysis in the marked candidate domain and merging the adjacent domains with over-high overlapping degree to generate tree height information. When ensuring the extracting precision of tree heights, the method effectively solves the problem of tree height judgment ambiguity of adjacent domains so that the extracted tree height information has higher quality and larger practical value, wherein the problem of tree height judgment ambiguity is caused by the phenomenon of tree superposition.

A set of sensors can capture raw data that geospatially corresponds to a real world volumetric space. The raw data can include point cloud data encoded in a light detecting and ranging (LiDAR) information format, imagery and video data, and elevation data encoded in a digital elevation model (DEM) or digital surface model (DSM) format. The real-world volumetric space can be segmented into a set of volumetric units, wherein datum of the raw data is indexed against the volumetric units. Each of the volumetric units of the real-world volumetric space can be mapped to a voxel in a storage volumetric space of a voxel database. The raw data can then be stored and fused in the voxel database such that each voxel in the voxel database represents a combination of volumetrically stored data for all source products that includes providing point cloud data, imagery data, and elevation data.

The invention discloses a geometric constraint-based high-resolution optical satellite staring image registration method. The method comprises the steps of S100, building a free network adjustment directional model of images by utilizing a rational function model of additional image space error compensation; S200, based on the free network adjustment directional model, performing dense matching ona stereoscopic image pair with an optimal rendezvous condition in the images to obtain coordinates of dense homonymy points; S300, generating dense point cloud data, performing gross error point deletion on the dense point cloud data, and generating digital surface model data; and S400, based on the free network adjustment directional model and DSM data, performing geometric correction on the images in sequence. By utilizing geometric locating consistency, high-precision registration of high-resolution optical satellite multi-angle staring sequence images is realized; the multi-angle staringsequence image registration problem caused by satellite platform control inaccuracy and attitude measurement inaccuracy is solved; and a high-precision data basis can be provided for subsequent application.