Revision and reconstruction of 3D building data by integrating starimager/tls imagery and complementary data

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).