Name
Abstract | ||
|---|---|---|
A bilateral constant false alarm rate (CFAR) algorithm for ship detection in synthetic aperture radar (SAR) images is proposed in this letter. Compared to the standard CFAR algorithm, the proposed algorithm can reduce the influence of SAR ambiguities and sea clutter, by means of a combination of the intensity distribution and the spatial distribution of SAR images. The spatial distribution plays an equally important role as the intensity distribution. It is estimated before ship detection by a new kernel density estimation algorithm proposed in this letter. The experimental results of typical SAR images show that the algorithm is effective. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2015.2412174 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
bilateral constant false alarm rate (cfar),kernel density estimation,ship detection,spatial distribution,synthetic aperture radar (sar),kernel,distribution functions,graphical models,clutter,radar imaging,synthetic aperture radar | Continuous-wave radar,Synthetic aperture radar,Remote sensing,Artificial intelligence,Computer vision,Radar imaging,Clutter,Algorithm,Inverse synthetic aperture radar,Bistatic radar,Radar horizon,Constant false alarm rate,Mathematics | Journal |
Volume | Issue | ISSN |
PP | 99 | 1545-598X |
Citations | PageRank | References |
18 | 0.90 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangguang Leng | 1 | 78 | 8.02 |
| Kefeng Ji | 2 | 176 | 17.01 |
| Yang, K. | 3 | 18 | 0.90 |
| Huanxin Zou | 4 | 184 | 19.43 |