Name
Title | ||
|---|---|---|
A Robust Fuzzy C-Means Algorithm Based on Bayesian Nonlocal Spatial Information for SAR Image Segmentation. |
Abstract | ||
|---|---|---|
The fuzzy c-means (FCM) algorithm and many improved algorithms incorporating spatial information have been proven to be effective in image segmentation. However, these methods are not adaptable to process synthetic aperture radar (SAR) images owing to the intrinsic speckle noise. Our solution, which enables the effective segmentation of SAR images by guaranteeing noise-immunity and edge detail pre... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2018.2792841 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Clustering algorithms,Synthetic aperture radar,Image segmentation,Bayes methods,Partitioning algorithms,Robustness,Speckle | Fuzzy clustering,Histogram,Speckle pattern,Segmentation,Synthetic aperture radar,Algorithm,Image segmentation,Speckle noise,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 3 | 1939-1404 |
Citations | PageRank | References |
2 | 0.43 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ling Wan | 1 | 4 | 1.47 |
| Tao Zhang | 2 | 3 | 0.81 |
| Yuming Xiang | 3 | 15 | 6.30 |
| Hongjian You | 4 | 103 | 17.44 |