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The Research of Extracting Building’s Feature from Vehicle-Borne Laser-Scanning Data

Author: WuFenFang
Tutor: LiQingQuan；LiHanWu
School: Wuhan University
Course: Cartography and Geographic Information Systems
Keywords: Laser scanning Data Classification Feature Extraction
CLC: P208
Type: Master's thesis
Year: 2005
Downloads: 705
Quote: 8
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Abstract


Geospatial Information Science and Earth spatial information industry is flourishing , three-dimensional spatial information fast acquisition and automatic processing of geo-spatial information technology is the core technology and the development of frontier . Laser scanning technology is a new technique to directly access high-precision three-dimensional spatial information , is the traditional measurement techniques is an important supplement. After ten years of development , airborne laser scanning measurement systems is technically quite mature, terrestrial laser scanning measurement systems research and development have made ??great progress , the development of laser scanning data processing is relatively slow , is the international research hot spots. In this paper, from the laser scan data for building feature extraction, research is focused on automotive laser scanning data classification and feature extraction of buildings . Firstly, brief introduction to laser scanning technology, summarizes and analyzes the two-dimensional gray-scale image segmentation and feature extraction methods and existing laser scan data classification and feature extraction method . Then on the basis of the design of a new vehicle laser scanning data classification and feature extraction building method, which also applies to the registration point of the ground after a fixed multi-scan laser scan data. This method makes full use of laser scan data and the spatial distribution of urban environment in a variety of geometric characteristics of the object itself , all data points are projected onto the horizontal grid , for each grid cell , in which all data points calculated height values ??projected before the maximum value is determined based on the maximum value of the data points in the grid cells in the category . From the classified data to extract building features . Applications designed for data processing method handling vehicle-mounted three-dimensional data acquisition system collected data, analyze the results obtained . Finally concluding remarks , the direction of future research and development prospects .

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > General issues > Mapping database and information system
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