Subspace-based CFAR detection of vehicles from forests in SAR image

Yanfei Zhang; Jian Guan; Jie Wang; Hongwei Li

doi:10.1117/12.657701

4 January 2006 Subspace-based CFAR detection of vehicles from forests in SAR image

Yanfei Zhang, Jian Guan, Jie Wang, Hongwei Li

Proceedings Volume 5985, International Conference on Space Information Technology; 59852O (2006) https://doi.org/10.1117/12.657701
Event: International Conference on Space information Technology, 2005, Wuhan, China

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.

Citation Download Citation

Yanfei Zhang, Jian Guan, Jie Wang, and Hongwei Li "Subspace-based CFAR detection of vehicles from forests in SAR image", Proc. SPIE 5985, International Conference on Space Information Technology, 59852O (4 January 2006); https://doi.org/10.1117/12.657701

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