Title | ||
---|---|---|
Optimal edge detection and edge localization in complex SAR images with correlated speckle |
Abstract | ||
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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. Fjortoft | 1 | 234 | 27.36 |
A. Lopes | 2 | 344 | 66.60 |
J. Bruniquel | 3 | 99 | 15.02 |
P. Marthon | 4 | 104 | 10.70 |