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Proceedings Paper

A hyperspectral model for target detection
Author(s): Mark Bernhardt; Phil Clare; Catherine Cowell; Moira Smith
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Paper Abstract

In this paper an end-to-end hyperspectral imaging system model is described which has the ability to predict the performance of hyperspectral imaging sensors in the visible through to the short-wave infrared regime for sub-pixel targets. The model represents all aspects of the system including the target signature and background, the atmosphere, the optical and electronic properties of the imaging spectrometer, as well as details of the processing algorithms employed. It provides an efficient means of Monte-Carlo modelling for sensitivity analysis of model parameters over a wide range. It is also capable of representing certain types of non-Gaussian hyperspectral clutter arising from heterogeneous backgrounds. The capabilities of the model are demonstrated in this paper by considering Uninhabited Airborne Vehicle scenarios and comparing both multispectral and hyperspectral sensors. Both anomaly detection and spectral matched-filter algorithms are characterised in terms of Receiver Operating Characteristic curves. Finally, some results from a preliminary validation exercise are presented.

Paper Details

Date Published: 7 May 2007
PDF: 9 pages
Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 65650F (7 May 2007); doi: 10.1117/12.719363
Show Author Affiliations
Mark Bernhardt, Waterfall Solutions Ltd. (United Kingdom)
Phil Clare, Defence Science and Technology Lab. (United Kingdom)
Catherine Cowell, Waterfall Solutions Ltd. (United Kingdom)
Moira Smith, Waterfall Solutions Ltd. (United Kingdom)

Published in SPIE Proceedings Vol. 6565:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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