Name
Title | ||
|---|---|---|
Detection and Discrimination of Ship Targets in Complex Background From Spaceborne ALOS-2 SAR Images. |
Abstract | ||
|---|---|---|
This paper proposes a novel method for ship detection and discrimination in complex background from synthetic aperture radar (SAR) images. It first implements a pixel-level land-sea segmentation with the aid of a global 250-m water mask. Then, an efficient multiscale constant false alarm rate (CFAR) detector with generalized Gamma distribution clutter model is designed to detect candidate targets ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2017.2787573 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Marine vehicles,Clutter,Radar imaging,Image segmentation,Estimation,Earth | Computer vision,Radar imaging,False alarm,Clutter,Synthetic aperture radar,Image segmentation,Otsu's method,Artificial intelligence,Constant false alarm rate,Detector,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 2 | 1939-1404 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Ao | 1 | 6 | 1.77 |
| Feng Xu | 2 | 244 | 40.77 |
| Yongchen Li | 3 | 3 | 0.73 |
| Haipeng Wang | 4 | 99 | 9.71 |