Quantitative comparison of temperature/emissivity algorithm performance using SEBASS data
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.
- Publication:
-
Algorithms for Multispectral and Hyperspectral Imagery V
- Pub Date:
- July 1999
- DOI:
- 10.1117/12.353042
- Bibcode:
- 1999SPIE.3717...47K