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Recent Advances in Techniques for Hyperspectral Image ProcessingImaging spectroscopy, also known as hyperspectral imaging, has been transformed in less than 30 years from being a sparse research tool into a commodity product available to a broad user community. Currently, there is a need for standardized data processing techniques able to take into account the special properties of hyperspectral data. In this paper, we provide a seminal view on recent advances in techniques for hyperspectral image processing. Our main focus is on the design of techniques able to deal with the highdimensional nature of the data, and to integrate the spatial and spectral information. Performance of the discussed techniques is evaluated in different analysis scenarios. To satisfy time-critical constraints in specific applications, we also develop efficient parallel implementations of some of the discussed algorithms. Combined, these parts provide an excellent snapshot of the state-of-the-art in those areas, and offer a thoughtful perspective on future potentials and emerging challenges in the design of robust hyperspectral imaging algorithms
Document ID
Document Type
Reprint (Version printed in journal)
Plaza, Antonio
(Extremadura Univ. Spain)
Benediktsson, Jon Atli
(Iceland Univ. Reykjavik, Iceland)
Boardman, Joseph W.
(Analytical Imaging and Geophysics, LLC Boulder, CO, United States)
Brazile, Jason
(Zurich Univ. Switzerland)
Bruzzone, Lorenzo
(Trento Univ. Italy)
Camps-Valls, Gustavo
(Valencia Univ. Spain)
Chanussot, Jocelyn
(Grenoble Univ. France)
Fauvel, Mathieu
(Grenoble Univ. France)
Gamba, Paolo
(Pavia Univ. Italy)
Gualtieri, Anthony
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Marconcini, Mattia
(Trento Univ. Italy)
Tilton, James C.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Trianni, Giovanna
(Pavia Univ. Italy)
Date Acquired
August 25, 2013
Publication Date
January 1, 2009
Publication Information
Publication: Remote Sensing of Environment
Volume: 113
Issue: Supplement 1
Subject Category
Earth Resources And Remote Sensing
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