DocumentCode :
384420
Title :
Edge and line detection in polarimetric SAR images
Author :
Borghys, D. ; Lacroix, V. ; Perneel, C.
Author_Institution :
R. Mil. Acad., Signal & Image Centre, Brussels, Belgium
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
921
Abstract :
A scheme for detecting edges and lines in multichannel SAR images is proposed. The line detector is constructed from the edge detector. The latter is based on multivariate statistical hypothesis tests applied to log-intensity SAR images. The raw results are vectorized by a traditional bright line extraction process. The scheme is illustrated by extracting dark linear structures on various full-polarimetric SAR images.
Keywords :
edge detection; statistical analysis; synthetic aperture radar; dark linear structures extraction; edge detection; line detection; log-intensity SAR images; multichannel SAR images; multivariate statistical hypothesis tests; polarimetric SAR images; traditional bright line extraction process; Data mining; Detectors; Image edge detection; Infrared sensors; Pixel; Remote sensing; Satellites; Speckle; Synthetic aperture radar; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048455
Filename :
1048455
Link To Document :
بازگشت