Call for Papers
IEEE Signal Processing Society
Special Issue - IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on Signal and Image Processing in Hyperspectral Remote Sensing
Aims and Scope
Hyperspectral imaging has recently emerged as one of the very promising
technologies in remote sensing, enabling applications that may have been
previously seen as impossible in multispectral imaging. Hyperspectral
cameras deployed in current airborne or satellite systems can cover the
visible and near-infrared wavelengths at a resolution of 10nm, with more
than 200 spectral channels. This vastly increased spectral information
content creates a unique opportunity for numerous applications, such as
mineral identification, agriculture, environment monitoring, terrain
classification, object detection, change detection, and many more.
Hyperspectral imaging is also a key technique for planetary exploration,
astrophysics, and non-remote sensing problems such as food inspection and
forensics. Remarkably, these meaningful and important applications have led
to a wide variety of signal processing problems, which have attracted
growing attention and contributions from the signal processing, image
processing and machine learning communities. In particular, we have
witnessed developments that are far from being just a straight application
of a signal processing technique. Instead, some of them turn out to provide
new insights and open new dimensions for fundamental signal processing
research. For example, it has recently become clear that the unmixing topic
in hyperspectral remote sensing has formed a new branch of blind source
separation techniques, wherein the exploitation of special source
characteristics, such as local sparsity, has been found to provide very
effective blind separation solutions. The same goes with the classification
and detection topics, where the utilization of contextual information or
combined spatial-spectral processing has resulted in new paradigms.
Moreover, the recent research trend indicates that hyperspectral signal and
image processing is embracing frontier signal processing concepts very
quickly—this includes sparse signal processing, compressive sensing, and
convex and nonconvex optimization, just to name a few.
The aim of this special issue is to gather high-quality tutorial-style
articles that introduce key signal processing topics arising from
hyperspectral remote sensing, demonstrate the insight and uniqueness of
signal processing techniques established in this area, and/or provide
overviews of the latest trends. In particular, we wish to shift the
perspective from the remote sensing side to signal processing, and extract
insight behind the signal processing developments happening in
hyperspectral remote sensing. While this is the focus of this special
issue, we may also welcome application-oriented papers that can tell a good
story regarding how signal processing makes a difference.
Topics of Interest include (but are not limited to):
* unmixing, both linear and nonlinear, and both semisupervised and
unsupervised
* classification
* target or anomaly detection at a subpixel level
* coded aperture and compressive sensing
* sparse signal processing, which includes sparse regression, dictionary
learning, multiple measurement vector models, etc
* convex and nonconvex optimization
* contextual information or combined spatial-spectral processing
* Bayesian and statistical signal processing
* nonlinear manifold learning, graph theoretic methods
* dimension reduction, subspace identification, non-negative matrix
factorization
Submission Process
Articles submitted to this special issue must contain significant relevance
to signal processing and its application to hyperspectral remote sensing.
All submissions will be peer reviewed according to the IEEE and Signal
Processing Society guidelines. Submitted articles should not have been
published or under review elsewhere. Manuscripts should be submitted online
at http://mc.manuscriptcentral.com/sps-ieee using the Manuscript Central
interface. Submissions to this special issue of the IEEE SIGNAL PROCESSING
MAGAZINE should have significant tutorial value. Prospective authors should
consult the site
http://www.signalprocessingsociety.org/publications/periodicals/spm/ for
guidelines and information on paper submission.
Important Dates (Tentative Schedule):
White paper (4 pages) due: December 9, 2012
Invitation notification: January 3, 2013
Manuscript submission due: March 22, 2013
Acceptance notification: June 15, 2013
Final manuscript due: August 18, 2013 (strict)
Final Publication January 2014
Guest Editors
Wing-Kin Ma, Lead GE, Department of Electronic Engineering, The Chinese
University of Hong Kong, Hong Kong, wkma@ieee.org
José M. Bioucas-Dias, Instituto de Telecomunicações, Instituto Superior T
énico, Technical University of Lisbon, Portugal, bioucas@lx.it.pt
Jocelyn Chanussot, GIPSA-Lab, Grenoble Institute of Technology, Grenoble,
France, jocelyn.chanussot@gipsa-lab.grenoble-inp.fr
Paul Gader, Department of Computer & Information Science & Engineering,
University of Florida. USA, pgader@cise.ufl.edu
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