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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Vydáno v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 8; číslo 6; s. 3193 - 3198
Hlavní autoři:	Bisht, Jagat Singh Heet, Thapliyal, Pradeep Kumar, Shukla, Munn Vinayak, Kumar, Raj
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.06.2015
Témata:	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
On-line přístup:	Získat plný text
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