Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O<sub>2</sub> A- and CO<sub>2</sub> Bands
Current atmospheric composition sensors provide a large amount of high spectral resolution data. The accurate processing of this data employs time-consuming line-by-line (LBL) radiative transfer models (RTMs). In this paper, we describe a method to accelerate hyperspectral radiative transfer models...
Main Authors: | Ana del Águila, Dmitry S. Efremenko, Víctor Molina García, Michael Yu. Kataev |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/8/1250 |
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