Graphics processing unit implementation of the maximum likelihood solution to the inverse problem for retrieval of geophysical parameters from high-resolution sounder data

Shih-Chieh Wei; Bormin Huang; Hung-Lung  A. Huang

doi:10.1117/1.JRS.8.084799

13 August 2014 Graphics processing unit implementation of the maximum likelihood solution to the inverse problem for retrieval of geophysical parameters from high-resolution sounder data

Shih-Chieh Wei, Bormin Huang, Hung-Lung A. Huang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 8, Issue 1, 084799 (August 2014). https://doi.org/10.1117/1.JRS.8.084799

Abstract

The radiative transfer equation (RTE) describes the sounder observed radiance as a result of contribution from various surface properties, atmospheric temperature, and absorbing gas profiles. Retrieval of these geophysical parameters from the sounder data requires an inverse solution to the RTE problem. In the presence of noise in observation data, the maximum likelihood method is often used to find the most probable solution from an ensemble described by a probability density function. In recent years, general purpose graphics processing units with hundreds of computing cores have become more affordable for scientific computation. This work will explore the use of GPU in speedup of the maximum likelihood solution to the ill-posed retrieval problem. For the infrared atmospheric sounding interferometer high-resolution sounder having 8641 channels, the use of GPU on maximum likelihood estimation shows a promising speedup of 1986× compared to a single-threaded native CPU version.

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Shih-Chieh Wei, Bormin Huang, and Hung-Lung A. Huang "Graphics processing unit implementation of the maximum likelihood solution to the inverse problem for retrieval of geophysical parameters from high-resolution sounder data," Journal of Applied Remote Sensing 8(1), 084799 (13 August 2014). https://doi.org/10.1117/1.JRS.8.084799

Published: 13 August 2014

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KEYWORDS

Graphics processing units

Matrix multiplication

Data modeling

Inverse problems

Atmospheric modeling

Error analysis

Infrared radiation

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