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Proceedings Paper

Quantitative comparison of temperature/emissivity algorithm performance using SEBASS data
Author(s): Robert D. Kaiser
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Paper Abstract

Algorithms have been developed for estimating temperature and emissivity of terrestrial targets from airborne LWIR hyperspectral radiance data. This report documents a performance comparison of these algorithms. Data collected at the Department of Energy's Atmospheric Radiation Measurement Site by the Spatially-Enhanced Broadband Array Spectrograph System (SEBASS) was used. SEBASS is a 128-band hyperspectral instrument covering a wavelength range of 7.3 to 13.6 micrometers. Spectra of natural and man-made objects were processed by Thermal Log Residual, Alpha Log Residual, Normalized Emissivity, Inverse Wave, Graybody, EOS/ASTER, N- Temperature, and Max-Min Difference methods. Temperature and emissivity estimates are compared to ground truth measurements. Sample results and performance statistics are presented.

Paper Details

Date Published: 16 July 1999
PDF: 11 pages
Proc. SPIE 3717, Algorithms for Multispectral and Hyperspectral Imagery V, (16 July 1999); doi: 10.1117/12.353042
Show Author Affiliations
Robert D. Kaiser, Spectral Information Technology Applications Ctr. (United States)

Published in SPIE Proceedings Vol. 3717:
Algorithms for Multispectral and Hyperspectral Imagery V
Sylvia S. Shen; Michael R. Descour, Editor(s)

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