DocumentCode
1756777
Title
Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing
Author
Tuia, Devis ; Merenyi, Erzsebet ; Jia, Xiuping ; Grana-Romay, Manuel
Author_Institution
Laboratoire des Systémes d’Information Géographique (LaSIG), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Volume
7
Issue
4
fYear
2014
fDate
41730
Firstpage
1007
Lastpage
1011
Abstract
The twenty-seven articles in this special issue is a follow-up to special sessions organized at WHISPERS conferences. Such sessions drew unexpectedly large attendance, signaling the interest and need for a focused platform to exchange knowledge at the intersection of machine learning and remote sensing. The collection of papers in this special issue presents a comprehensive sample of the latest trends in the design of machine learning algorithms for geospatial data. It covers a wide spectrum of remote sensing applications and presents new solutions to answer to the call of the new generation of sensors, covering the electromagnetic range from optical to microwave data.
Keywords
Classification; Data processing; Feature extraction; Hyperspectral imaging; Machine learning; Remote sensing; Special issues and sections; Supervised learning;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2014.2311915
Filename
6804709
Link To Document