Quantitative comparison of temperature/emissivity algorithm performance using SEBASS data

Robert D. Kaiser

doi:10.1117/12.353042

16 July 1999 Quantitative comparison of temperature/emissivity algorithm performance using SEBASS data

Robert D. Kaiser

Proceedings Volume 3717, Algorithms for Multispectral and Hyperspectral Imagery V; (1999) https://doi.org/10.1117/12.353042
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Robert D. Kaiser "Quantitative comparison of temperature/emissivity algorithm performance using SEBASS data", Proc. SPIE 3717, Algorithms for Multispectral and Hyperspectral Imagery V, (16 July 1999); https://doi.org/10.1117/12.353042

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