20 June 1995 Mine detection using wavelet processing of electro-optic active sensor data
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tien-Hsin Chao, Tien-Hsin Chao, Brian Lau, Brian Lau, Araz Yacoubian, Araz Yacoubian, Girardeau L. Henderson, Girardeau L. Henderson, "Mine detection using wavelet processing of electro-optic active sensor data", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211340; https://doi.org/10.1117/12.211340
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