A New CFAR Ship Detection Algorithm Based on 2-D Joint Log-Normal Distribution in SAR Images

Author

Ai, Jiaqiu ; Qi, Xiangyang ; Yu, Weidong ; Deng, Yunkai ; Liu, Fan ; Shi, Li

Author_Institution

Dept. of Microwave Remote Sensing Syst., Chinese Acad. of Sci., Beijing, China

Volume

7

Issue

4

fYear

2010

Firstpage

806

Lastpage

810

Abstract

The characteristic difference between targets and clutter is analyzed. Considering the ship target´s gray intensity distribution and its shape difference compared to the clutter, in this letter, a new algorithm is presented based on correlation. The algorithm utilizes the strong gray intensity correlation in the ship target; also, the joint gray intensity distribution using 2-D joint log-normal distribution of a pixel with neighboring pixels in the clutter is modeled, which can be used for correlation-based joint constant false alarm rate detection. Using this algorithm, the false alarms caused by speckle and local background nonhomogeneity can be greatly reduced. The detection performance is much better.

Keywords

log normal distribution; object detection; radar clutter; radar imaging; ships; synthetic aperture radar; 2D joint log-normal distribution; CFAR ship detection; SAR images; clutter; constant false alarm rate; gray intensity correlation; gray intensity distribution; ship target; Clutter; Detection algorithms; Detectors; Log-normal distribution; Marine vehicles; Radar cross section; Radar detection; Radar imaging; Speckle; Synthetic aperture radar; 2-D joint log-normal (2DLN) distribution; Constant false alarm rate (CFAR); gray correlation; ship detect; synthetic aperture radar (SAR);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2010.2048697

Filename

5473108