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Proceedings Paper

Comparison of adaptive array-processing schemes for land mine detection using hyperspectral imagery
Author(s): Michael D. Farrell; Russell M. Mersereau
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Paper Abstract

Adaptive techniques for detecting small or difficult targets in the midst of high noise and/or clutter have a rich history in the radar array processing community. However, the utility of these schemes is only beginning to be realized for multichannel electro-optical techniques, specifically hyperspectral imaging (HSI). The data products generated by hyperspectral sensors differ greatly from those of radar and sonar arrays, yet recent studies using HSI data have offered promising results for modified versions of common adaptive detectors. In this paper, we compare a series popular adaptive detection schemes applied to HSI data for the task of land mine detection. Experiments using real hyperspectral image cubes, not simulations, are performed with data from both the visible-SWIR and LWIR regions. Results are presented for different mine types in a variety of scenes.

Paper Details

Date Published: 1 September 2005
PDF: 11 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591301 (1 September 2005); doi: 10.1117/12.612706
Show Author Affiliations
Michael D. Farrell, Georgia Institute of Technology (United States)
Russell M. Mersereau, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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