CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test

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概要

• 論文の詳細を見る

• A new constant false alarm rate (CFAR) detection scheme based on the goodness-of-fit (GoF) test is proposed to deal with the problem of extended object detection in high resolution synthetic aperture radar (SAR) images. The performance of this detector is compared with that of the traditional detectors using the MSTAR database. Results show that the proposed detector is superior to the traditional detectors in controlling false alarms in nonhomogeneous environment where boundaries widely exist.

• （社）電子情報通信学会の論文
• 2009-02-01

著者

• Pi Yiming

  University Of Electronic Science And Technology Of China

• DENG Xiaobo

  University of Electronic Science and Technology of China

• CAO Zhenglin

  Radar and Avionics Institute of China Aviation Industry Corporation I

• Cao Zhenglin

  Radar And Avionics Institute Of China Aviation Industry

関連論文

• CFAR Detector Based on Goodness-of-Fit Tests
• CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test

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