Name
Abstract | ||
|---|---|---|
The scattering measurements of individual pixels in polarimetric SAR images are affected by speckle; hence, the performance of classification approaches, taking individual pixels as elements, would be damaged. By introducing the spatial relation between adjacent pixels, a novel classification method, taking regions as elements, is proposed using a Markov random field (MRF). In this method, an imag... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/LGRS.2008.2002263 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Pixel,Image segmentation,Shape,Speckle,Markov random fields,Synthetic aperture radar,Radar scattering,Iterative algorithms,Polarimetry,Instruments | Speckle pattern,Synthetic aperture radar,Markov random field,Remote sensing,Image segmentation,Artificial intelligence,Contextual image classification,Wishart distribution,Computer vision,Pattern recognition,Ground truth,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 4 | 1545-598X |
Citations | PageRank | References |
49 | 1.65 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yonghui Wu | 1 | 49 | 1.65 |
| Kefeng Ji | 2 | 176 | 17.01 |
| Wenxian Yu | 3 | 329 | 43.89 |
| Yi Su | 4 | 172 | 29.50 |