Building Extraction of Urban Area from High Resolution Remotely Sensed Panchromatic Data of Urban Area

摘要：

With the recent availability of commercial high resolution remote sensing panchromatic imagery from sensors such as IKONOS and QUICKBIRD,it is possible to extract individual objects such as buildings from the imagery.However,traditional extraction methods cannot get the desired accuracy,because knowledge is not utilized.In this paper,we put forward a texture-based approach to get building information from the panchromatic imagery.Firstly,the image is segmented based on texture of variogram feature.Building corner structure knowledge is also combined to detect and connect building edges.Then we fill interiors of buildings through seed filling algorithm.In the final stage,point noises and linear noises are eliminated from the imagery through area or shape index value.The accuracy assessment adopted in this paper is GIS overlay analysis,which shows that 93.9％ of building information is extracted correctly.The result indicates that the approach supplies another new technique for interpreting high spatial resolution remotely sensed imagery.

关键词： building extraction edge connection texture-based segmentation panchromatic imagery

作者: Yiting Wang Xinliang Li Wuming Zhang Liqiang Zhang

作者单位: School of Geography,Beijing Normal University,Beijing 100875,China ;School of Earth and Space Scienc Dept.of Geographic Information Science,Nanjing University,22Hankou Road,Nanjing 210093,China School of Geography,Beijing Normal University,Beijing 100875,China;State Key Laboratory of Remote Se

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）