Summary of Wilcoxon Nonparametric Cfar Scheme For Ship Detection in Sar Image, by Xiangwei Meng
Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image
by Xiangwei Meng
First submitted to arxiv on: 11 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Signal Processing (eess.SP); Applications (stat.AP)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to ship target detection in SAR images is presented, focusing on a robust and adaptable non-parametric constant false alarm rate (CFAR) scheme. This work builds upon existing parametric CFAR methods, which rely on statistical distributions such as Gaussian or Weibull, but are limited by their assumption of known clutter backgrounds. The proposed Wilcoxon non-parametric CFAR scheme is analyzed, providing a closed-form expression for the false alarm rate to determine decision thresholds. Experimental results demonstrate the robustness of this approach in various detection environments using Radarsat-2, ICEYE-X6, and Gaofen-3 SAR images. The Wilcoxon detector exhibits improved detection performance for weak ships on rough sea surfaces, while also reducing false alarms caused by sidelobes and achieving fast detection speeds. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new way to find ship targets in satellite images is developed. This approach uses a special type of detection method that doesn’t rely on knowing the exact statistical pattern of the background noise. The current methods assume certain patterns, but this can be problematic when the actual noise is different from what’s expected. The proposed method, called Wilcoxon non-parametric CFAR, provides a reliable way to detect targets while being less affected by unexpected noise. This approach was tested using real satellite images and showed improved performance in detecting weak ships on rough sea surfaces. |
