TY - GEN
T1 - Building L-shape footprint extraction from high resolution SAR image
AU - Zhang, Fengli
AU - Shao, Yun
AU - Zhang, Xiao
AU - Balz, Timo
PY - 2011
Y1 - 2011
N2 - Building extraction in SAR images is still a difficult task due to the geometric distortions, the electromagnetic wave interactions between adjacent targets, and the speckle noises. In this paper, a method for building L-shape footprint extraction from high resolution SAR images jointly using image segmentation and line detection is proposed. Experiments based on a TerraSAR-X image show that method proposed in this paper can accurately delineate the L-shape edges of buildings facing towards the SAR sensor.
AB - Building extraction in SAR images is still a difficult task due to the geometric distortions, the electromagnetic wave interactions between adjacent targets, and the speckle noises. In this paper, a method for building L-shape footprint extraction from high resolution SAR images jointly using image segmentation and line detection is proposed. Experiments based on a TerraSAR-X image show that method proposed in this paper can accurately delineate the L-shape edges of buildings facing towards the SAR sensor.
UR - https://www.scopus.com/pages/publications/79957636078
U2 - 10.1109/JURSE.2011.5764772
DO - 10.1109/JURSE.2011.5764772
M3 - Conference contribution
AN - SCOPUS:79957636078
SN - 9781424486571
T3 - 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
SP - 273
EP - 276
BT - 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
T2 - IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011
Y2 - 11 April 2011 through 13 April 2011
ER -