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Proceedings Paper

Small object hyperspectral detection from a low-flying UAV
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Paper Abstract

Small object detection with a low false alarm rate remains a challenge for automated hyperspectral detection algorithms when the background environment is cluttered. In order to approach this problem we are developing a compact hyperspectral sensor that can be fielded from a small unmanned airborne platform. This platform is capable of flying low and slow, facilitating the collection of hyperspectral imagery that has a small ground-sample distance (GSD) and small atmospheric distortion. Using high-resolution hyperspectral imagery we simulate various ranges between the sensor and the objects of interest. This numerical study aids in analysis of the effects of stand-off distance on detection versus false alarm rates when using standard hyperspectral detection algorithms. Preliminary experimental evidence supports our simulation results.

Paper Details

Date Published: 16 April 2008
PDF: 11 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69691C (16 April 2008); doi: 10.1117/12.776871
Show Author Affiliations
J. Murray-Krezan, Naval Research Lab. (United States)
J. G. Neumann, Naval Research Lab. (United States)
R. A. Leathers, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)

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