DocumentCode
3458368
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
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CCPR.2010.5659265
Filename
5659265
Link To Document