Mine detection using wavelet processing of electro-optic active sensor data

Tien-Hsin Chao; Brian Lau; Araz Yacoubian; Girardeau L. Henderson

doi:10.1117/12.211340

20 June 1995 Mine detection using wavelet processing of electro-optic active sensor data

Tien-Hsin Chao, Brian Lau, Araz Yacoubian, Girardeau L. Henderson

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211340
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Tien-Hsin Chao, Brian Lau, Araz Yacoubian, and 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); https://doi.org/10.1117/12.211340

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