John A. Morgan’s research while affiliated with University of California, Los Angeles and other places

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Publications (1)


Simulated annealing approach to temperature–emissivity separation in thermal remote sensing
  • Article

November 2016

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10 Reads

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3 Citations

Journal of Applied Remote Sensing

John A. Morgan

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). © The Authors Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citations (1)


... The aim of the first step is to obtain the estimated temperature T 0 . The estimated temperature can be obtained by various algorithms, such as annealing algorithms [17], genetic algorithms [8], and so on. First, we randomly select n (for instance, n equals 10) sets of irradiance data and set the number of loops m (for instance, m equals 2000) in the annealing algorithm. ...

Reference:

Temperature and emissivity measurement algorithm using a moving emissivity retardation spectral window method based on Lagrange mean value theorem
Simulated annealing approach to temperature–emissivity separation in thermal remote sensing
  • Citing Article
  • November 2016

Journal of Applied Remote Sensing