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Proceedings Paper

Subspace-based CFAR detection of vehicles from forests in SAR image
Author(s): Yanfei Zhang; Jian Guan; Jie Wang; Hongwei Li
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Paper Abstract

Automatic detection of military vehicles hidden among forests in synthetic aperture radar (SAR) image is a challenging and difficult task because tree trunk clutter often appears as locally bright as obscured targets. We apply subspace-based detection methods to treat the problem as detecting subspace signals in structured subspace interference and broadband noise of unknown level. Specifically, tree trunk clutter is modeled as structured isotropic interferences with unknown amplitudes while dominant vehicle scatterers as anisotropic dihedral responses. Matched subspace detector (MSD) with constant false alarm rate (CFAR) property is derived. Experiments on both simulated and real foliage-penetrating (FOPEN) SAR image show that the proposed detection scheme has good detection performance even at low false alarm rates.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59852O (4 January 2006); doi: 10.1117/12.657701
Show Author Affiliations
Yanfei Zhang, Naval Aeronautical Engineering Academy (China)
Jian Guan, Naval Aeronautical Engineering Academy (China)
Jie Wang, Naval Aeronautical Engineering Academy (China)
Hongwei Li, Bai Cheng Ordnance Test Ctr. (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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