Title :
Building L-shape footprint extraction from high resolution SAR image
Author :
Zhang, Fengli ; Shao, Yun ; Zhang, Xiao ; Balz, Timo
Author_Institution :
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
Abstract :
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.
Keywords :
electromagnetic waves; image resolution; image segmentation; speckle; synthetic aperture radar; L-shape footprint extraction; TerraSAR-X image; adjacent targets; building extraction; electromagnetic wave interactions; geometric distortions; high resolution SAR image; image segmentation; line detection; speckle noise; Buildings; Feature extraction; Image resolution; Image segmentation; Pixel; Scattering; Transforms;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
DOI :
10.1109/JURSE.2011.5764772
