Improvement in Humidity Profile Retrieval for Hyperspectral Sounder Using Principal Component-Based Regression Algorithm

This study is an application of the hybrid regression method to improve the accuracy of retrieved humidity profile from infrared hyperspectral sounding observations. In hybrid regression method, a weighted average of two regression products that are derived using two different forms of predictand is...

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Bibliographic Details

Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 8; no. 6; pp. 3193 - 3198
Main Authors:	Bisht, Jagat Singh Heet, Thapliyal, Pradeep Kumar, Shukla, Munn Vinayak, Kumar, Raj
Format:	Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	Accuracy Atmospheric measurements Atmospheric modeling Humidity Hybrid regression hyperspectral infrared atmospheric sounding interferometer (IASI) principal component Principal component analysis Satellites Temperature measurement principal component infrared atmospheric sounding interferometer (IASI) hyperspectral Hybrid regression
ISSN:	1939-1404, 2151-1535
Online Access:	Get full text
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