Change Detection of Buildings Using High Resolution Remotely Sensed Data

  • Zeng, Yu (Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping) ;
  • Zhang, Jixian (Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping) ;
  • Wang, Guangliang (Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping)
  • Published : 2002.10.01

Abstract

An approach for quickly updating GIS building data using high resolution remotely sensed data is proposed in this paper. High resolution remotely sensed data could be aerial photographs, satellite images and airborne laser scanning data. Data from different types of sensors are integrated in building extraction. Based on the extracted buildings and the outdated GIS database, the change-detection-template can be automatically created. Then, GIS building data can be fast updated by semiautomatically processing the change-detection-temp late. It is demonstrated that this approach is quick, effective and applicable.

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