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.
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