IEEE Geoscience and Remote Sensing Magazine - June 2017 - 26

adjunct professor of the University of Iceland, Reykjavík.
His research interests include image analysis, multicomponent image processing, nonlinear filtering, and data fusion in remote sensing. He is the founding president of
the IEEE Geoscience and Remote Sensing French Chapter
(2007-2010) and an associate editor for IEEE Transactions
on Geoscience and Remote Sensing. He is a Fellow of the IEEE
and a member of the Institut Universitaire de France.
mauro dalla mura (mauro.dalla-mura@gipsa-lab
.grenoble-inp.fr) received his laurea (B.E.) and laurea specialistica (M.E.) degrees in telecommunication engineering from the University of Trento, Italy, in 2005 and 2007,
respectively. He received a joint Ph.D. degree in information and communication technologies (telecommunications area) from the University of Trento and in electrical
and computer engineering from the University of Iceland,
Reykjavík, in 2011. He is an assistant professor at Grenoble
Institute of Technology, France. He is conducting research
at the Grenoble Images Speech Signals and Automatics Laboratory. His main research interests include remote sensing,
image processing, and pattern recognition. In particular, he
is interested in mathematical morphology, classification,
and multivariate data analysis. He has been the president
of the IEEE Geoscience and Remote Sensing Society French
Chapter since 2016 and is on the editorial board of IEEE
Journal of Selected Topics in Applied Earth Observations and Remote Sensing. He is a Member of the IEEE.
xin huang (huang_whu@163.com) received his Ph.D.
degree in photogrammetry and remote sensing from Wuhan University, China, in 2009, working with the State
Key Laboratory of Information Engineering in Surveying,
Mapping, and Remote Sensing. He is a full professor with
Wuhan University, where he teaches remote sensing, photogrammetry, and image interpretation. He is the founder
and director of the Institute of Remote Sensing Information
Processing, School of Remote Sensing and Information
Engineering, Wuhan University. His research interests include hyperspectral data analysis, high-resolution image
processing, pattern recognition, and remote sensing applications. He also serves as an associate editor of Photogrammetric Engineering and Remote Sensing and IEEE Geoscience and Remote Sensing Letters. He is a Senior Member
of the IEEE.
rik bellens (Rik.Bellens@ugent.be) received his Diploma
degree in computer science engineering from Ghent University, Belgium, in 2004, where he is currently working toward
his Ph.D. degree in the Department of Telecommunications
and Information Processing. His main research interests
are pattern recognition, remote sensing, image processing,
mobility, and crowd behavior. He is a Member of the IEEE.
sidharta gautama (Sidharta.Gautama@ugent.be) received his Diploma degree in electrical engineering in 1994
and his Ph.D. degree in applied sciences in 2002, both
from Ghent University, Belgium. He currently works in
the Department of Telecommunication and Information
Processing of Ghent University as a part-time lecturer on
26

computer vision. He also heads the innovation center
i-KNOW at Ghent University, which incubates the licensing
and spin-off activity of the research in intelligent information processing. i-KNOW has up to now incorporated four
companies and is active in the domains of environment,
manufacturing, mobility, and consumer. He is a Member
of the IEEE.
wilfried Philips (Wilfried.Philip@ugent.be) received
his Diploma degree in electrical engineering and his Ph.D.
degree in applied sciences, both from Ghent University,
Belgium, in 1989 and 1993, respectively. He is with the
Department of Telecommunications and Information
Processing, Ghent University, where he is a full-time professor and head of the research group Image Processing
and Interpretation, which is part of the Research Institute Interuniversity MicroElectronics Center. His research
interests include image and video restoration, analysis and
modeling of image reproduction systems, remote sensing, surveillance, and industrial inspection. He is a Senior
Member of the IEEE.
references
[1] M. Dalla Mura, S. Prasad, F. Pacifici, P. Gamba, J. Chanussot, and
J. Benediktsson, "Challenges and opportunities of multimodality
and data fusion in remote sensing," Proc. IEEE, vol. 103, no. 9, pp.
1585-1601, Sept. 2015.
[2] C. Debes, A. Merentitis, R. Heremans, J. Hahn, N. Frangiadakis,
T. Kasteren, W. Liao, R. Bellens, A. Pizurica, S. Gautama, W. Philips, S. Prasad, Q. Du, and F. Pacifici, "Hyperspectral and LiDAR
data fusion: Outcome of the 2013 GRSS data fusion contest,"
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp.
2405-2418, 2014.
[3] W. Liao, X. Huang, F. Coillie, S. Gautama, A. Pizurica, W. Philips,
H. Liu, T. Zhu, M. Shimoni, G. Moser, and D. Tuia, "Processing
of multiresolution thermal hyperspectral and digital color data:
Outcome of the 2014 IEEE GRSS data fusion contest," IEEE J. Sel.
Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 6, pp. 2984-
2996, May 2015.
[4] T. Blaschke, "Object based image analysis for remote sensing,"
ISPRS J. Photogrammetry Remote Sens., vol. 65, no. 1, pp. 2-16,
2010.
[5] S. W. Myint, P. Gober, A. Brazel, S. Grossman-Clarke, and Q.
Weng, "Per-pixel vs. object-based classification of urban land
cover extraction using high spatial resolution imagery," Remote
Sens. Environ., vol. 115, no. 5, pp. 1145-1161, May 2011.
[6] D. C. Duro, S. E. Franklin, and M. G. Dube, "A comparison of
pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural
landscapes using SPOT-5 HRG imagery," Remote Sens. Environ.,
vol. 118, no. 6, pp. 259-272, May 2012.
[7] P. Soille, Morphological Image Analysis, Principles and Applications,
2nd ed. Berlin: Springer-Verlag, 2003.
[8] M. Pesaresi and J. A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery,"
IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb.
2001.
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Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - June 2017