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Proceedings Paper

Sonification of hyperspectral image data
Author(s): Mark Bernhardt; Catherine Cowell; William Oxford
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Paper Abstract

There are many reconnaissance tasks which involve an image analyst viewing data from hyperspectral imaging systems and attempting to interpret it. Hyperspectral image data is intrinsically hard to understand, even when armed with mathematical knowledge and a range of current processing algorithms. This research is motivated by the search for new ways to convey information about the spectral content of imagery to people. In order to develop and assess the novel algorithms proposed, we have developed a tool for transforming different aspects of spectral imagery into sounds that an analyst can hear. Trials have been conducted which show that the use of these sonic mappings can assist a user in tasks such as rejecting false alarms generated by automatic detection algorithms. This paper describes some of the techniques used and reports on the results of user trials.

Paper Details

Date Published: 7 May 2007
PDF: 8 pages
Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 65650D (7 May 2007); doi: 10.1117/12.719348
Show Author Affiliations
Mark Bernhardt, Waterfall Solutions Ltd. (United Kingdom)
Catherine Cowell, Waterfall Solutions Ltd. (United Kingdom)
William Oxford, 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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