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HIDDEN MARKOV MODELS FOR MULTI-APERTURE SAR TARGET DETECTION
基于隐马尔可夫模型的多孔径SAR目标检测

Keywords: Synthetic aperture radar (SAR),Multi-Aperture SAR (MASAR) image,Hidden Markov Model (HMM),Target detection
合成孔径雷达(SAR)
,多孔径SAR(MASAR)成像,隐马尔可夫模型(HMM),目标检测

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Abstract:

Foliage penetrating VHF/UHF Ultra-WideBand (UWB) SAR can image hidden man-made targets such as military vehicles with wide-angle and ultra-wideband to achieve high resolutions in both range and azimuth, which has great military application value. Exploiting several multi-aperture SAR images, HMMs for man-made object and foliage clutter are developed separately in the paper, which can be utilized in detecting targets effectively to realize the pre-screening process in a ATR system.

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