Title :
Semi-Automatic Extraction of Ribbon Roads from VHR Remotely Sensed SAR Imagery
Author :
Sun, Xiaofeng ; Li, Yingcheng ; Lin, Xiangguo
Author_Institution :
TOPRS, Chinese Acad. of Surveying & Mapping, Beijing, China
Abstract :
Roads have very small backscateering coefficient for radio waves, thus they have low intensities on very high resolution (VHR) SAR imagery. Based on the above unique characteristic, mean angular texture signature (MATS) is proposed to track ribbon roads from VHR SAR images in this paper. Experiments demonstrate the proposed tracker can reliably extracts most of roads from VHR SAR images.
Keywords :
feature extraction; image resolution; radar imaging; radiowaves; remote sensing; roads; synthetic aperture radar; SAR imagery; VHR remote sensing; image resolution; mean angular texture signature; radio waves; ribbon roads; semi-automatic extraction; Feature extraction; Humans; Manuals; Mice; Radiometry; Remote sensing; Roads;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
DOI :
10.1109/CCPR.2010.5659265
