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

Autor:	Yunkai Deng, Weidong Yu, Li Shi, Fan Liu, Jia-qiu Ai, Xiang-yang Qi
Rok vydání:	2010
Předmět:	Synthetic aperture radar Speckle pattern Pixel Computer science Radar imaging Detector Log-normal distribution Clutter Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology Algorithm Object detection Constant false alarm rate
Zdroj:	IEEE Geoscience and Remote Sensing Letters. 7:806-810
ISSN:	1558-0571 1545-598X
DOI:	10.1109/lgrs.2010.2048697
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ed991f4884605fd934e532b4dbf34f13 https://doi.org/10.1109/lgrs.2010.2048697 Zobrazit plný text záznamu