Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shadows and occlusion caused by nearby buildings in urban dense areas. Therefore, we have proposed a method to revise 3D building data by integrating texture change (roofs and walls) and 3D shape change of buildings using STARIMAGER/TLS (Three Line Sensor).
|International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
|Published - 2004 1月 1
|20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey
継続期間: 2004 7月 12 → 2004 7月 23
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