Analysis of Sea Clutter Distribution and Evaluate Ship Detection Performance for Sentinel-1 SAR Data

EasyChair Preprint no. 699, version 3

Abstract

This paper judged the goodness-of-fit of five commonly used distribution models with synthetic aperture radar (SAR) dataset collected by C-band Sentinel-1 radar off the Strait of Malacca. The purpose was to find out the optimal model that suits the data, then construct constant false alarm rate (CFAR) detector for vessel detection. The Kullback-Leibler (K-L) Distance was adopted to judge the fitting degree. The figure of merit (FOM), the probability of detection (PoD) and the false alarm rate (FAR) were calculated to evaluate detector’s performance.

Keyphrases: CFAR, SAR, Statistical distribution., vessel detection

@Booklet{EasyChair:699,
  author = {Yongxu Li and Xudong Lai and Jie Zhang and Junmin Meng and Genwang Liu and Xi Zhang},
  title = {Analysis of Sea Clutter Distribution and Evaluate Ship Detection Performance for Sentinel-1 SAR Data},
  howpublished = {EasyChair Preprint no. 699},

  year = {EasyChair, 2019}}