Title
Optimal edge detection and edge localization in complex SAR images with correlated speckle
Abstract
The authors develop optimal criteria for detection and localization of step edges in single look complex (SLC) synthetic aperture radar (SAR) images. By working on complex data rather than intensity images, they can easily take the speckle autocorrelation into account, obtain more accurate estimates of local mean reflectivities, and thus achieve better edge detection and edge localization than wit...
Year
DOI
Venue
1999
10.1109/36.789623
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Image edge detection,Speckle,Synthetic aperture radar,Reflectivity,Radar detection,Image segmentation,Two dimensional displays,Detectors,Maximum likelihood estimation,Associate members
Computer vision,Radar imaging,Speckle pattern,Synthetic aperture radar,Segmentation,Edge detection,Remote sensing,Complex data type,Image segmentation,Artificial intelligence,Mathematics,Autocorrelation
Journal
Volume
Issue
ISSN
37
5
0196-2892
Citations 
PageRank 
References 
8
1.30
9
Authors
4
Name
Order
Citations
PageRank
R. Fjortoft123427.36
A. Lopes234466.60
J. Bruniquel39915.02
P. Marthon410410.70