Title
Strategic hyperspectral detection through sonic transformation
Abstract:
There are applications in which it is necessary for people to interact with hyperspectral imagery data. In particular these include strategic and other reconnaissance tasks.
Hyperspectral data is high-dimensional and therefore intrinsically hard for people to properly comprehend (in the way they can easily understand a single-band image). Therefore additional tools to assist analysts are required.
This paper describes work that has made use of sound as an additional means of encoding the properties of hyperspectral data. A transformation has been devised that renders spectra into audible tones in such a way that background clutter makes 'consonant' sounds whereas anomalies sound 'dissonant'.
We show the results of trials that indicate that using this method to screen RX detections can reduce the false alarm rate.
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Authors:
M. Bernhardt, Waterfall Solutions, UK;
J. P. Heather, Waterfall Solutions, UK;
P. Edmundson, Waterfall Solutions, UK;
Conference:
Joint Annual Technical Conference 2006, Edinburgh, UK, 13 - 14 July

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