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Proceedings Paper

Anomaly detection using simulated MTI data cubes derived form HYDICE data
Author(s): Mary M. Moya; John G. Taylor; Brian R. Stallard; Sheila E. Motomatsu
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Paper Abstract

In this work we quantify the separability between specific materials and the natural background by applying receiver operating curve (ROC) analysis to the residual errors from a linear unmixing. We apply the ROC analysis to quantify performance of the multi-spectral thermal imager (MTI). We describe the MTI imager and simulate its data by filtering HYDICE hyperspectral imagery both spatially and spectrally and by introducing atmospheric effects corresponding to the MIT satellite altitude. We compare and contrast the individual effects on performance of spectral resolution, spatial resolution, atmospheric corrections, and varying atmospheric conditions.

Paper Details

Date Published: 16 October 1998
PDF: 12 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); doi: 10.1117/12.328116
Show Author Affiliations
Mary M. Moya, Sandia National Labs. (United States)
John G. Taylor, Sandia National Labs. (United States)
Brian R. Stallard, Sandia National Labs. (United States)
Sheila E. Motomatsu, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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