Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O<sub>2</sub> A- and CO<sub>2</sub> Bands

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...

Full description

Bibliographic Details
Main Authors: Ana del Águila, Dmitry S. Efremenko, Víctor Molina García, Michael Yu. Kataev
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
hyperspectral data
fast radiative transfer models
acceleration techniques
regression
O<sub>2</sub> A-band
CO<sub>2</sub> band
Online Access:https://www.mdpi.com/2072-4292/12/8/1250

Internet

https://www.mdpi.com/2072-4292/12/8/1250

Similar Items