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Image Processing Technology in Fast City Modeling Based on Satellite Images

Author: ChengJun
Tutor: PengQunSheng；HuaZuo
School: Zhejiang University
Course: Applied Mathematics
Keywords: Rapid City Modeling Remote sensing image Architectural extract Semiautomatic Image Segmentation k-means clustering Hough transform
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 62
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Abstract


3D city modeling is the basis of the digitized city . Following modeling method : first , building structures based on DEM data and the level of the three-dimensional modeling of the city . Second, the radar data based on remote sensing technology and GIS digital data generated architectural models . Third, comprehensive aviation satellite imagery and laser scanning data urban modeling . Fourth, procedural modeling shape grammar - based and city type induction . Fifth, city modeling method based on an image or video sequence using computer vision technology . The common drawback of these methods : modeling slow . This article briefly describes the rapid urban modeling technology based on image sequence , its main advantage , the faster the speed of modeling . The basic idea is that the First based on GoogleEarth remote sensing image fast extraction of the outline of buildings , and then based on the sequence of images taken facades constructed multi-view panorama , and the panorama from the automatic extraction of the upper and lower edges of the building , the use of city buildings the occluded region structural characteristics of texture panorama repair richer architectural details in order to get a more realistic model of the visual , and finally extracted from the resulting texture . How to obtain the image data that we need to in the GoogleEarth provide remote sensing images , how quickly and accurately based on these images to city building roof area outline , give a detailed discussion . First, we designed and implemented a software system for a specified range of remote sensing image automatically crawl from GoogleEarth . Then designed and implemented the software system is a fast and accurate extraction of from GoogleEarth remote sensing image building roof area contour : interactively , it supports both interactive drawing lines manually extracted and semi-automatic extraction ; extract types , it supports both the rules at right angles polygons, and the extraction of of ordinary polygon building roof area . Building rooftop extraction system , a new the arbitrary quadrilateral boundary optimization method : least squares fitting Hausdorff distance boundary optimization algorithm based on K-means clustering . At the same time , the introduction of the Hough transform will be optimized for right-angle polygon irregular region , this is a clever application of the Hough transform .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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