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Proceedings Paper

Mine detection using wavelet processing of electro-optic active sensor data
Author(s): Tien-Hsin Chao; Brian Lau; Araz Yacoubian; Girardeau L. Henderson
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Paper Abstract

A wavelet processing-based automatic target detection technique has been developed at JPL and demonstrated for mine detection applications. In this approach, first, a multiresolution wavelet decomposition method was utilized to remove clutter from the input scene so that the false alarm rate due to background clutter could be greatly reduced. Second, a shape-specific ternary-valued wavelet filter was used to perform mine detection. This ternary-valued wavelet filter was successfully implemented in an optical wavelet processor and real-time mine detection was demonstrated. Theoretical analysis of this wavelet processing method will be provided. Experimental results illustrating mine detection will also be presented.

Paper Details

Date Published: 20 June 1995
PDF: 9 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211340
Show Author Affiliations
Tien-Hsin Chao, Jet Propulsion Lab. (United States)
Brian Lau, Jet Propulsion Lab. (United States)
Araz Yacoubian, Jet Propulsion Lab. (United States)
Girardeau L. Henderson, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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