Title :
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
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);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2048697
