Name
Title | ||
|---|---|---|
Edge Extraction for Polarimetric SAR Images Using Degenerate Filter With Weighted Maximum Likelihood Estimation. |
Abstract | ||
|---|---|---|
The classic region-based filter for edge extraction for polarimetric synthetic aperture radar images is theoretically founded and efficient. However, in practical use, its performance is limited because the assumption of independence and identical distribution is often not met, particularly in heterogeneous areas. In this letter, we present a degenerate filter design integrated with the weighted m... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LGRS.2014.2321629 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Image edge detection,Synthetic aperture radar,Covariance matrices,Maximum likelihood estimation,Data mining,Feature extraction | Edge extraction,Experimental data,Synthetic aperture radar,Remote sensing,Maximum likelihood,Artificial intelligence,Computer vision,Degenerate energy levels,Pattern recognition,Inverse synthetic aperture radar,Feature extraction,Mathematics,Filter design | Journal |
Volume | Issue | ISSN |
11 | 12 | 1545-598X |
Citations | PageRank | References |
6 | 0.55 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Liu | 1 | 77 | 6.09 |
| Zenghui Zhang | 2 | 50 | 10.29 |
| Xingzhao Liu | 3 | 192 | 51.67 |
| Wenxian Yu | 4 | 44 | 13.56 |