高分辨SAR图像自动区域筛选目标检测算法

doi:10.11999/JEIT150808

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Abstract

Assuming the G⁰ distribution clutter background, an automatic block-to-block censoring CFAR (ABC-CFAR) detector is proposed based on VI-CFAR for high resolution SAR image in nonhomogeneous environments. Firstly the Variability Index (VI) statistic is used to censor the blocks in the local reference window in order to reject the non-homogeneous ones in which there exists interfering target samples. Then the Mean Ratio (MR) statistic is utilized to select and combine the homogeneous blocks which have the same distribution, in order to solve background clutter censoring problem in clutter edge situation. At last, with the selected blocks, the distribution parameters of the background clutter are estimated, and then the binary detection is implemented in the Block Under Test (BUT). Using the real SAR image data including ground vehicle targets, the experimental results show that the proposed ABC-CFAR detector has robust detection performance and false alarm regulation property in multi-target and clutter edge nonhomogeneous environment.

Key words： Block-to-block censoring Variability Index (VI) Mean Ratio (MR) G⁰ distribution

Received: 08 July 2015 Published: 14 January 2016

PACS:

TN958

Fund:

The National Natural Science Foundation of China (61201292, 61322103, 61372132), The Foundation for the Author of National Excellent Doctoral Dissertation of China (FANEDD-201156), The Fundamental Research Funds for the Central Universities

Corresponding Authors: WANG Yinghua E-mail: yhwang@xidian.edu.cn

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	SONG Wenqing
	WANG Yinghua
	LIU Hongwei

Cite this article:

SONG Wenqing,WANG Yinghua,LIU Hongwei. An Automatic Block-to-block Censoring Target Detector for High Resolution SAR Image[J]. JEIT, 2016, 38(5): 1017-1025.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150808 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I5/1017

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