Name
Title | ||
|---|---|---|
SAR Image Classification by Exploiting Adaptive Contextual Information and Composite Kernels. |
Abstract | ||
|---|---|---|
For synthetic aperture radar (SAR) image land cover classification, traditional feature-based methods are not always effective because of the heavy multiplicative noise. To solve this problem, we herein propose a new classification method for SAR images considering adaptive spatial contextual information. In contrast to preceding studies, the spatial contextual information of the SAR images is exp... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2821711 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Synthetic aperture radar,Kernel,Support vector machines,Speckle,Clustering algorithms,Google,Feature extraction | Kernel (linear algebra),Spatial analysis,Computer vision,Synthetic aperture radar,Support vector machine,Feature extraction,Pixel,Artificial intelligence,Cluster analysis,Contextual image classification,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 7 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongdong Guan | 1 | 4 | 4.79 |
| Deliang Xiang | 2 | 12 | 5.27 |
| Ganggang Dong | 3 | 110 | 9.27 |
| Tao Tang | 4 | 36 | 4.45 |
| Xiaoan Tang | 5 | 36 | 8.24 |
| Gangyao Kuang | 6 | 347 | 31.11 |