DocumentCode :
1552210
Title :
Optimal edge detection and edge localization in complex SAR images with correlated speckle
Author :
Fjørtoft, Roger ; Lopès, Armand ; Bruniquel, Jérôme ; Marthon, Philippe
Author_Institution :
Centre d´´ Etudes Spatiales de la Biosphere, Toulouse, France
Volume :
37
Issue :
5
fYear :
1999
fDate :
9/1/1999 12:00:00 AM
Firstpage :
2272
Lastpage :
2281
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 with operators known from the literature. Algorithms for the two-dimensional (2D) implementation of the methods are proposed, and some segmentation results are shown
Keywords :
edge detection; geophysical signal processing; geophysical techniques; image segmentation; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; SAR; algorithm; complex SAR image; correlated speckle; edge localization; geophysical measurement technique; image processing; image segmentation; land surface; localization; optimal criteria; optimal edge detection; radar imaging; radar remote sensing; single look complex; speckle autocorrelation; step edge; synthetic aperture radar; terrain mapping; two-dimensional method; Associate members; Detectors; Image edge detection; Image segmentation; Maximum likelihood estimation; Radar detection; Reflectivity; Speckle; Synthetic aperture radar; Two dimensional displays;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.789623
Filename :
789623
Link To Document :
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