1111 results about "Digital elevation model" patented technology

The present invention uses data from several sources to determine lines-of-sight between nodes in a FSO network. The present invention provides a three-dimensional neighborhood modeling system that uses aerial image data, Digital Elevation Models, U.S. street map data and address data to automatically map the placement of nodes within a neighborhood or other geographical area.

Method for creating the 3-Dimensional, House and Tree Maps used in the line-of-sight processing are also disclosed. A House Map in the present invention identifies houses in an area of consideration, and a Tree Map in the present invention identifies trees in an area of consideration. A 3-Dimensional Map in the present invention provides an elevation for every pixel for the area under consideration, whereby the elevation is adjusted for the height of trees, houses and other objects.

A method of generating a geodetic reference database product is disclosed The method comprises acquiring mobile mapping data captured by means of digital cameras, range sensors and position determination means including GPS and IMU mounted to a vehicle driving across the earth surface, the mobile mapping data comprising simultaneously captured image data, range data and associated position data in a geographic coordinate system. Linear stationary earth surface features are derived from the mobile mapping data by processing the image data, range data and associated position data. 3D-models are generated for the linear stationary earth surface features in the geographic coordinate system from the image data, range data and associated position data and stored in a database to obtain the geodetic reference database product. A 3D-model could include an image representing the colors of the surface of the 3D model or a set of smaller images representing photo-identifiable objects along the model. The 3D-models could be used to rectify aerial imagery, to correct digital elevation models and to improve the triangulation of digital elevation models.

The invention provides a method and a system for processing high-definition remote sensing image data by applying a rational function model, a satellite image block adjustment and auto-match and distributed parallel processing technology. The method comprises the following steps: analyzing and processing input primary image data and computing parameters of the corresponding rational function model so as to obtain a stereo image pair by applying the computed rational function model; performing measurement and singlechip orientation of a control point and a connecting point on the primary image data, and performing block adjustment processing on an error between stereo image pixel data and the primary image data so as to improve the fit precision between the stereo image pixel data and the primary image data; generating an image similar to an epipolar ray, defining a matching template, measuring matched seed points and lines, performing automatic image matching and generating a digital elevation model; and respectively generating a digital orthophoto map and a digital line graph, and finishing manufacturing a product by applying the obtained data.

A fixed or mobile image capturing device, coupled to a first computer, is remotely controlled over a global computer network by a second computer, and obtains a digital image of a scene. The first computer acquires a digital elevation model of the scene, which is data for creating a three-dimensional perspective model of the scene in two dimensions based on data corresponding, and registers the image with the digital elevation model. The registered digital image is provided to the second computer over the global computer network. When a user at the second computer points to an area of the registered image, the first computer augments the image provided with at least some information corresponding to the area pointed to.

A system for guided geospatial image capture, registration and 2D or 3D mosaicking, that employs automated imagery processing and cutting-edge airborne image mapping technologies for generation of geo-referenced Orthomosaics and Digital Elevation Models from aerial images obtained by UAVs and/or manned aircraft.

The invention discloses a real-time spatial positioning method for a mobile monitoring target in a geographical scene, which aims at solving the problems of great difficulty, time consumption and the like due to the fact that spatial positioning of a target in a video monitoring system requires artificial interpretation. The method comprises the steps of adopting a three-dimensional scene modeling technology, constructing a three-dimensional virtual geographical scene virtual imaging and a target spatial positioning computing system, rendering the existing high-precision digital elevation model or a three-dimensional scene model of a monitoring area, generating a three-dimensional virtual scene, setting parameters such as positions, postures and focal distances of cameras in a shooting process of each video image as virtual camera parameters in the scene according to a consistency relation between OpenGL (Open Graphics Library) perspective imaging and a photogrammetric principle, generating a simulated image, and reversely deducing three-dimensional geographic coordinates of the target according to consistency of the video image and the simulated image, and a reverse process of the perspective imaging. According to the real-time spatial positioning method, the quick positioning of a field mobile target can be achieved by utilizing a video monitoring image in a wide-range geographic environment.

A computer implemented method, apparatus, and computer program product for generating a risk assessment model for an assessment of a patient in a healthcare facility. The process retrieves event data for the patient, wherein the event data is derived from video data, and wherein the event data further comprises metadata describing events affecting the patient in a medical care facility, and parses the event data to form assessment data. The process then generates the risk assessment model using the assessment data.

The invention discloses a method for improving earth surface shape change monitoring precision of an InSAR (Interferometric Synthetic Aperture Radar) technology based on a high-precision DEM (Digital Elevation Model). The method comprises five steps below: step 1, generating an interferogram by using radar data; step 2, generating a differential interference phase diagram; step 3, establishing error phases and performing feature analysis; step 4, establishing an error phase optimal function calibration model; step 5, recovering earth surface shape change information of a monitoring region based on results of steps 2 and 4. According to the invention, the error phases and elevation values or the error phases, the elevations and coordinate values along a distance/azimuth of different regions of a research region are extracted, the optimal function calibration models of the error phases of corresponding regions are established respectively based on a least square method, and a simulative error phase is finally removed from the differential interference phase diagram to further recover shape change information along a direction of a sight line of a radar in the monitoring region. The method for improving the earth surface shape change monitoring precision of the InSAR technology based on the high-precision DEM has practical value and wide application foreground in the application field of a satellite borne synthetic aperture radar monitoring technology for earth surface shape change.

A method for analyzing types of water sources based on natural geographical feature, the method includes: collecting and processing remote sensing image data of target area, and obtaining maximum and minimum value of an annual vegetation index; subtracting the minimum value from the maximum value to obtain maximum variation range of annual vegetation index; extracting topography factors from a digital elevation model in target area; obtaining a natural vegetation area in target area; carrying out a normalization processing for the maximum variation range and the topography factors in this natural regions, and obtaining landform zones and situation of plant growth of different zones in the natural vegetation area by spatial cluster analysis in ArcGIS; obtaining a precipitation of landform zones in the growing season and the distances between the landform zones and the water sources, and obtaining the zones for the types of water sources based on natural geographical features.

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 digital elevation database is compressed to create a compressed digital map database which is used by a digital computer system for displaying three-dimensional terrain data in the form of polygons. The compressed digital map database is produced from a database of elevation points by selecting every mth row and every nth column, thereby resulting in a reduction of database storage requirements. During program run-time the intersection of rows and columns forms cells with four corners. The elevation value of a center elevation point for each cell is formed by various methods, thereby creating a cell made up of four three-dimensional triangles. One method for creating the elevation of the center elevation point uses the elevations of the four corners of the cell. Another method uses extrapolated elevation values from the cell's extended diagonals. The three-dimensional triangles formed from the center elevation point are then transformed and projected using standard computer graphics methods on a digital computer to produce a three-dimensional projected display.

A computer implemented method, apparatus, and computer program product for generating an optimal healthcare delivery model. The process parses event data derived from video data to identify patterns of events, wherein the event data comprises metadata describing events associated with a medical care facility. The process then identifies a subset of patterns of events from the patterns of events that achieves a target outcome to form a set of optimized patterns of events. The process generates an optimized healthcare delivery strategy using the set of optimized patterns of events to form the optimized healthcare delivery model for the medical care facility.

A fast geometric correction method for a satellite remote sensing image and based on a control point image database comprises the following steps: the geographical scope of an image to be corrected is determined; all control points which meet requirements are retrieved in the control point image database according to the determined geographical scope of the image to be corrected; automatic matching and point selection are conducted, and control point pairs used for geometric correction are determined; whether the number and the distribution of the matched control point pairs meet the requirements of the geometric correction is judged, if the judging result is yes, the next step is conducted, and if the judging result is no, the retrieval step is conducted again; a geometric correction model is selected according to the type and imaging features of a sensor; a transformational relation between a pixel coordinate and a geodetic coordinate is established based on the matched control point pairs and the selected geometric correction model; and the geometric correction is conducted based on a digital elevation model and the transformational relation so as to obtain a corrected digital orthoimage. According to the fast geometric correction method for the satellite remote sensing image and based on the control point image database, the automatic image matching technique is introduced into automatic selection of the control points, and automatic geometric correction processing of the satellite remote sensing image can be realized.

The invention relates to the technical field of prediction of weather states, and especially relates to a modeling evaluation method for urban heavy rain inundation. The method includes the following steps: (1), establishing a to-be-evaluated area into a digital elevation model, and dividing the model into grids; (2), generating a river network, establishing a river network on the digital elevation model, and determining the current direction and speed of a basin; (3) determining inundated areas, the grids the river flows across being river grids and other grids being ground grids, determining initial river grids and inundation conditions, and successively determining, from the initial river grids, whether the ground grids adjacent the river grids meet inundation conditions, wherein the ground grids are inundated grids if the conditions are satisfied, otherwise, the ground grids are not inundated grids; (4) determining the inundation critical rainfall; (5) determining inundation calamity risks; and (6) evaluating inundation risks. Through adoption of the method, the inundation coverage, the inundation depth, the inundation risks and losses or the like can be predicated before heavy rain, early warning is carried out timely, property losses are minimized, and personal safety is guaranteed.

The invention discloses an optimal route selection method for overhead transmission line route. Onboard lidar equipment is adopted to acquire laser point cloud data and aerial digital photo data of the transmission line route corridor range; the onboard lidar data is processed after the wave filtering and the sorting of the laser point cloud data, and the points of the ground surface are made into a digital elevation model with high precision; then data processing is carried out by utilizing the data of the digital elevation model with high precision and ortho-rectification is carried out to the aerial photo by utilizing the internal and external orientation elements of the aerial digital photo to generate digital orthophoto maps; through the overlying of the digital elevation model and the digital orthophoto maps, the tridimensional visualization of the transmission line route corridor can be realized to optimize the transmission line route selection; finally prearrangement of power pole and power pole arrangement are carried out according to the data of plane cross sections. The route selection platform of the invention has simple operation and lifelike tridimensional scene, thus being convenient for full roaming and multi-view observation and greatly improving the efficiency of the inner plane cross section survey operation. Compared with the optimal route selection technology based on the aerial photographing measuring method, the efficiency of the inner plane cross section survey operation can be improved by about 75 percent.

A system for autonomously mapping and tracking of ground targets at a location of interest has been disclosed. The system comprises at least one user control center in operative communication with one or more data relay satellites in Geostationary Equatorial Orbit (GEO), the data relay satellites in operative communication with one or more UAVs and/or SAR satellites with on-board different imaging sensors to obtain various types of imagery data from the ground targets. The data relay satellites target specific constant communication with the user control center and the UAVs and SAR satellites for continuous feedback and control. Moreover, the system process all raw data obtained from the UAVs and SAR satellites to produce 2D and 3D Digital Elevation Models (DEMs) and high resolution images, which are displayed on the user control center and/or selected mobile handheld devices.

The invention discloses a method for constructing a full-space three-dimensional digital earth model. The method includes that an ellipsoid earth space mathematical model is constructed based on a center of gravity control system (CGCS) 2000 China geodetic coordinate system; an earth surface dissection network is generated based on a fictitious graticule; an earth surface digital elevation model is generated in an insertion mode; a geometric structure module of earth space inner and outer ring layers is fitted by interpolations; a three-dimensional body element mesh of the earth space inner and outer ring layers is generated based in geological cells; an attribute element three-dimensional distribution model of the earth space inner and outer ring layers is fitted by the interpolations; a geographical coordinate is converted into a geocentric space three-dimensional rectangular coordinate; an earth space model multi-scale expression mechanism based on level of detail (LOD) is constructed; three-dimensional visualization is performed; earth space positions are checked; and three-dimensional analysis is performed. According to the method, the automaticity and the adaptability are high, and an earth space solid model containing the inner and outer ring layers can be rapidly and automatically reconstructed in three-dimensional space to be displayed on a computer display screen in a three-dimensional visualization mode to support space analysis of various professionals.

Disclosed herein is a 3D urban modeling apparatus and method. The 3D urban modeling apparatus includes a calibration unit for calibrating data about a translation and a rotation of at least one capturing device at a time that input aerial images and terrestrial images were captured. A building model generation unit generates at least one 3D building model based on the aerial images and the terrestrial images to which results of the calibration have been applied. A terrain model generation unit generates a 3D terrain model by converting an input digital elevation model into a 3D mesh. A texture extraction unit extracts textures related to the building model and the terrain model from the aerial images and the terrestrial images. A model matching unit generates a 3D urban model by matching the building model with the terrain model, which are based on the textures, with each other.

The invention discloses a three-dimensional vector real-time dynamic stacking technique based on multiple LOD (Level of Detail) transparent textures. The three-dimensional vector real-time dynamic stacking technique comprises the following steps of: firstly, drawing various vector layers on the transparent textures of corresponding plotting scales respectively in an internal memory through data pre-processing, automatically carrying out block cutting on the vector layers, then saving the vector layers in a disk as an LOD pyramid data storage structure, and establishing a mapping relation with a same-level terrain and an image data block; and secondly, in a real-time terrain rendering and roaming stage, loading the transparent textures of vectors of the corresponding layers through dynamic selection, stacking the vector layers into the same level of image data block according to an established Alpha passage, and realizing the real-time stacking of the vector layers in the three-dimensional terrain based on an internal memory multi-passage texture blending technology. According to seamless visualization of high-resolution vector map data and a digital elevation model, the effect of the high-resolution vector map data and the digital elevation model in spatial information expression and analysis can be enhanced. According to the technique, the real time stacking of multilayer vector data in the rendering and roaming stage of a large-scale three-dimensional terrain scene is realized, and the dynamic interactive screening of the vector layers is supported.

The invention relates to an SFS (Shape From Shading) three-dimensional reconstruction sparse-DEM (Digital Elevation Model) encrypting method considering surface spectral information. The invention creatively provides a coarse-resolution DEM-grid interpolation-encrypting method by combining multi-spectral remote-sensing images with SFS three-dimensional reconstruction; ground-object spectral information is utilized to estimate the reflectivity of different ground-object types, and the influences of surface-vegetation coverage types on the precision of SFS reconstruction are removed; in the invention, multi-spectral images are utilized to replace full-color images, and the precision of three-dimensional reconstruction is improved by applying the assistance of the ground-object spectral information; the influences of the surface-vegetation coverage types and ground-object shadows on establishing a surface three-dimensional model and image spectral-brightness transforming relation can be effectively inhibited; and relative to a commonly-used DEM interpolation algorithm, the precision is markedly improved, and examples validate that the method can be used for improving the DEM spatial resolution to be two times of original data and finishing large-range rapid DEM establishment based on sparse control points.

The embodiment of the invention discloses a flood forecasting method and system based on historical data to solve a problem of low flood forecasting precision and accuracy. The method comprises the following steps: analyzing the GIS (Geographic Information System) data and the DEM (Digital Elevation Model) data of a forecasting drainage basin, and dividing the forecasting drainage basin into various hydrologic units; carrying out rainfall comparison on historical meteorological hydrologic data under each hydrologic unit with corresponding practical meteorological hydrologic data, determining the historical meteorological hydrologic data matched with rainfall, and weighting with runoff volume obtained by analog computation to obtain a forecasting result of each hydrologic unit; if a certainty coefficient of the forecasting result of each hydrologic unit and the corresponding practical meteorological hydrologic data is greater than or equal to an effective threshold value, utilizing the rainfall capacity of each hydrologic unit and a parameter adopted by analog computation under each hydrologic unit to calculate the flood element of each hydrologic unit; and according to the flood element of each hydrologic unit, carrying out flood forecasting. Floor forecasting precision and accuracy can be improved.