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[5] F. Pacifici and Q. Du, "Foreword to the special issue on optical
multiangular data exploitation and outcome of the 2011 GRSS
Data Fusion Contest," IEEE J. Select. Topics Appl. Earth Observ.
Remote Sensing, vol. 5, no. 1, pp. 3-7, Feb. 2012.
[6] C. Berger, M. Voltersen, R. Eckardt, J. Eberle, T. Heyer, N. Salepci,
S. Hese, C. Schmullius, J. Tao, S. Auer, R. Bamler, K. Ewald, M.
Gartley, J. Jacobson, A. Buswell, Q. Du, and F. Pacifici, "Multimodal and multi-temporal data fusion: Outcome of the 2012
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[7] C. Debes, A. Merentitis, R. Heremans, J. Hahn, N. Frangiadakis,
T. van Kasteren, W. Liao, R. Bellens, A. Pizurica, S. Gautama, W.

Philips, S. Prasad, Q. Du, F. Pacifici, "Hyperspectral and LiDAR
data fusion: Outcome of the 2013 GRSS data fusion contest,"
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6, pp. 2405-2418, June 2014.
[8] W. Liao, X. Huang, F. van Coillie, S. Gautama, A. Pizurica, W.
Philips, H. Liu, T. Zhu, M. Shimoni, G. Moser, D. Tuia. (2015,
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and digital color data: Outcome of the 2014 IEEE GRSS data
fusion contest. IEEE J. Select. Topics Appl. Earth Observ. Remote
Sensing. [Online]. 8(6), pp. 2984-2996. Available: http://dx.doi.
org/10.1109/JSTARS.2015.2420582

Devis Tuia, Remote Sensing Laboratories, Dept. of Geography, University of Zurich, Switzerland (e-mail: devis.tuia@geo.uzh.ch)
Jan Dirk Wegner, konraD schinDler, Chair of Photogrammetry and Remote Sensing, Swiss Federal Institute
of Technology (ETH) Zurich, Switzerland (e-mails: konrad.schindler, jan.wegner@geod.baug.ethz.ch)
Josiane Zerubia, AYIN team, INRIA Sophia Antipolis Méditerranée, France (e-mail: josiane.zerubia@inria.fr)
gabriele Moser, Dept. of Electrical, Electronic, Telecommunications Eng. and Naval Architecture (DITEN),
University of Genoa, Genoa, Italy (e-mail: gabriele.moser@unige.it).

Report on the Ieee GRss/IspRs Workshop
earth Vision @ CVpR 2015 (Boston, MA)

o

ne of the missions of the Image
Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE
GRSS is to create synergies between
the remote sensing data analysis and
the pattern recognition/machine learning/computer vision communities.
This ought not to be a unidirectional
relationship (learning and vision feeding remote sensing) but must be a real
synergy, where both communities are
aware of each other and interact closely.
With this spirit, the IADF TC, in collaboration with the ISPRS Commission III
(Photogrammetric Computer Vision and Image Analysis),
has organized a joint workshop about the interfaces and
challenges between computer vision and remote sensing.
Such workshop was held in the most prestigious international conference in computer vision: the IEEE Computer
Vision and Pattern Recognition (CVPR) conference.
Through this workshop, the organizers aimed at fostering collaborations between the two communities
Digital Object Identifier 10.1109/MGRS.2015.2459723
Date of publication: 5 October 2015

september 2015

ieee Geoscience and remote sensing magazine

(Earth Observation and Vision), on
the one hand to boost automated
interpretation of EO data and, on
the other hand, to raise the awareness and interest in computer vision
for the challenges of remote sensing
data analysis.
We received 34 full papers (8 pages
+ 1 page of references) and proceeded
with a double blind review process.
The provenance of the authors and
the main keywords of the papers are
reported in Fig. 1. Each paper was
reviewed by 2 to 3 reviewers (http://
www.grss-ieee.org/earthvision2015/people.html), coming
from either the remote sensing or computer vision communities, and finally 11 papers were accepted into the
workshop. The acceptance rate was 32%.
The workshop took place in the morning of Friday, June
12, 2015. Two keynote speakers represented the interface
between the two communities: Gustau Camps-Valls from
the University of València, Spain, talked about retrieval of
biogeophysical parameters with remote sensing and kernel
methods - thus bringing the EO view on original problems for computer vision - while Aleksey Golovinskiy from
121


http://www.dx.doi http://http:// http://www.grss-ieee.org/earthvision2015/people.html

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