Hyperspectral Analysis paper, 2007

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Title

Sonification of hyperspectral image data

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 work is motivated by the search for new ways to convey information about the spectral content of imagery to people.

In this work we have developed a tool for transforming different aspects of spectral imagery into sounds that an analyst can hear. Trials have been conducted that 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.

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Authors:

M. Bernhardt, Waterfall Solutions, UK;
C. Cowell, Waterfall Solutions, UK;
W. Oxford, Waterfall Solutions, UK;

Conference:

SPIE Defense and Security Symposium 2007. Conference 6565 : Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIII,