Abstract | ||
---|---|---|
Currently, salient-region detection, which can be used to provide important man-made target information for synthetic aperture radar (SAR) image analysis and interpretation, is a valuable tool in SAR image processing. However, because SAR images are blurred by a large amount of multiplicative speckle noise, it is difficult for existing methods to produce satisfying results with simple intensity va... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/LGRS.2016.2519241 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Image edge detection,Synthetic aperture radar,Smoothing methods,Measurement,Anisotropic magnetoresistance,Statistical distributions | Computer vision,Radar imaging,Synthetic aperture radar,Iterative method,Remote sensing,Image processing,Scale space,Inverse synthetic aperture radar,Pixel,Artificial intelligence,Constant false alarm rate,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 3 | 1545-598X |
Citations | PageRank | References |
4 | 0.39 | 8 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qiang Zhang | 1 | 423 | 59.35 |
Yan Wu 0003 | 2 | 36 | 3.05 |
Fan Wang | 3 | 8 | 1.47 |
Jianwei Fan | 4 | 32 | 3.31 |
Lei Zhang | 5 | 147 | 13.11 |
Licheng Jiao | 6 | 5698 | 475.84 |