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10 November 2016 Simulated annealing approach to temperature–emissivity separation in thermal remote sensing
John A. Morgan
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Journal of Applied Remote Sensing, Vol. 10, Issue 4, 040501 (November 2016). https://doi.org/10.1117/1.JRS.10.040501
Abstract
The method of simulated annealing is adapted to the temperature–emissivity separation problem. A patch of surface at the bottom of the atmosphere is assumed to be a graybody emitter with spectral emissivity ε(k) describable by a mixture of spectral endmembers. We prove that a simulated annealing search conducted according to a suitable schedule converges to a solution maximizing the a-posteriori probability that spectral radiance detected at the top of the atmosphere originates from a patch with stipulated T and ε(k). Any such solution will be nonunique. The average of a large number of simulated annealing solutions, however, converges almost surely to a unique maximum a-posteriori (MAP) solution for T and ε(k).
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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John A. Morgan "Simulated annealing approach to temperature–emissivity separation in thermal remote sensing," Journal of Applied Remote Sensing 10(4), 040501 (10 November 2016). https://doi.org/10.1117/1.JRS.10.040501
Published: 10 November 2016
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Cited by 3 scholarly publications.
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KEYWORDS
Algorithms
Annealing
Fourier transforms
Thermal remote sensing
Atmospheric sensing
Error analysis
Fermium
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