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Proceedings Paper

Detection of targets in terrain clutter by using multispectral infrared image processing
Author(s): Lawrence E. Hoff; John R. Evans; Laura E. Bunney
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Paper Abstract

A weighted-difference signal-processing algorithm for detecting ground targets by using dual- band IR data was investigated. Three variations of the algorithm were evaluated: (1) simple differences; (2) minimum noise; and (3) maximum SNR. The theoretical performance was compared to measured performance for two scenes collected by the NASA TIMS sensor over a rural area near Adelaide, Australia, and over a wooded area near the Redstone Arsenal. The theoretical and measured results agreed extremely well. For a given correlation coefficient and color ratio, the amount of signal-to-noise ratio gain can be predicted. However, target input SNRs and color ratios can vary considerably. For the targets and scenes evaluated here, the typical gains achieved ranged from a few dB loss (targets without color) to a maximum of approximately 20 dB.

Paper Details

Date Published: 1 August 1991
PDF: 12 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45679
Show Author Affiliations
Lawrence E. Hoff, Naval Ocean Systems Ctr. (United States)
John R. Evans, Naval Ocean Systems Ctr. (United States)
Laura E. Bunney, Naval Ocean Systems Ctr. (United States)

Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

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