Content Gazette - November 2012 - 48

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
Invitation notification
Manuscript submission due
Acceptance notification
Final manuscript due
Final Publication

December 9, 2012
January 3, 2013
March 22, 2013
June 15, 2013
August 18, 2013 (strict)
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 Ténico, 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

www.signalprocessingsociety.org

[23]

NOVEMBER 2012


http://mc.manuscriptcentral.com/sps-ieee http://www.signalprocessingsociety.org/publications/periodicals/spm/ http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - November 2012

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