TY - GEN
T1 - Potential and limits of InSAR data for the reconstruction of buildings
AU - Stilla, U.
AU - Soergel, U.
AU - Thoennessen, U.
N1 - Publisher Copyright:
© 2001 IEEE.
PY - 2001
Y1 - 2001
N2 - The automatic reconstruction of buildings for the generation of city models is of great interest for different tasks. 3D information can be directly obtained from both, laser (LIDAR) and radar (InSAR) measurements. The data acquisition by SAR is described, with emphasis on the special properties of the interferometric SAR principle. A segmentation approach for building reconstruction is proposed. In the case of InSAR, special effects are taken into account, which are caused by the side-looking illumination. The estimation of the signal noise is considered in the segmentation process. Besides the elevation, the intensity information is exploited to detect building areas. The results show that building reconstruction is possible from InSAR, but the achievable level of detail cannot be compared with LIDAR. Inherent geometric constraints which limit the reconstruction of buildings from SAR data of dense urban areas are discussed.
AB - The automatic reconstruction of buildings for the generation of city models is of great interest for different tasks. 3D information can be directly obtained from both, laser (LIDAR) and radar (InSAR) measurements. The data acquisition by SAR is described, with emphasis on the special properties of the interferometric SAR principle. A segmentation approach for building reconstruction is proposed. In the case of InSAR, special effects are taken into account, which are caused by the side-looking illumination. The estimation of the signal noise is considered in the segmentation process. Besides the elevation, the intensity information is exploited to detect building areas. The results show that building reconstruction is possible from InSAR, but the achievable level of detail cannot be compared with LIDAR. Inherent geometric constraints which limit the reconstruction of buildings from SAR data of dense urban areas are discussed.
KW - Image segmentation
KW - Interferometry
KW - Object recognition
KW - Synthetic aperture radar
UR - http://www.scopus.com/inward/record.url?scp=27544455729&partnerID=8YFLogxK
U2 - 10.1109/DFUA.2001.985728
DO - 10.1109/DFUA.2001.985728
M3 - Conference contribution
AN - SCOPUS:27544455729
T3 - IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
SP - 64
EP - 68
BT - IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
Y2 - 8 November 2001 through 9 November 2001
ER -