Paper Info
Title
A multivariate contour detector for high-resolution polarimetric SAR images
Abstract
This article presents a new method for contour detection in high-resolution polarimetric SAR images. The method is based on multi-variate statistics of speckle in homogeneous regions in a SAR image and uses a hypothesis test for the difference in variance between two adjacent regions to find the contours. The detector is directly applied on the single-look complex polarimetric SAR image. A pre-processor, which is also based on multi-variate statistics, is used to focus the attention of the detector on potentially non-homogeneous regions within the image. Results of applying the contour detector on L-band polarimetric SAR images are also presented.
Year
DOI
Venue
2000
10.1109/ICPR.2000.903628
Pattern Recognition, 2000. Proceedings. 15th International Conference
Keywords
Field
DocType
edge detection,radar imaging,statistical analysis,synthetic aperture radar,multivariate contour detector,multivariate statistics,polarimetric sar images,statistics,l band,detectors,hypothesis test,high resolution,speckle
Computer vision,Radar imaging,Speckle pattern,Pattern recognition,Computer science,Synthetic aperture radar,Multivariate statistics,Edge detection,Inverse synthetic aperture radar,Artificial intelligence,Speckle noise,Detector
Conference
Volume
ISSN
ISBN
3
1051-4651
0-7695-0750-6
Citations 
PageRank 
References 
3
0.70
2
Authors
3
Name
Order
Citations
PageRank
Dirk Borghys1436.07
C. Perneel2454.55
M Acheroy31129.37