快速的Otsu双阈值SAR图像分割法

吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (6): 1760-1765.

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Fast SAR image segmentation method based on Otsu adaptive double threshold

YIN Kui-ying¹, LIU Hong-wei², JIN Lin¹

1.The 1st Research Department, Nanjing Research Institute of Electronics Technology, Nanjing 210013, China；2.National Lab of Radar Signal Processing, Xidian University, Xi′an 710071, China

Received:2010-03-31 Online:2011-11-01 Published:2011-11-01

Abstract

Abstract:

In this paper the statistic distribution property of Synthetic Aperture Radar (SAR) image was analyzed. Then a fast Otsu segmentation algorithm for SAR images was proposed, which satisfies the requirements of SAR automatic target recognition on SAR image segmentation. In this proposed algorithm, the Constant False Alarm Rate (CFAR) technique is first employed for coarse segmentation, and then Otsu was adopted for fine segmentation. Experimental results show that the proposed algorithm is not only efficient and accurate, but also can also achieve higher objective evaluation values.

Key words: information processing, SAR, SAR image segmentation, SAR image de-noising, Otsu method

CLC Number:

TN957.52

YIN Kui-ying, LIU Hong-wei, JIN Lin. Fast SAR image segmentation method based on Otsu adaptive double threshold[J].吉林大学学报(工学版), 2011, 41(6): 1760-1765.

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