◗◗ The Moon as a calibration site, ◗◗ Multi-sensor calibration concepts, ◗◗ In-Situ measurement requirements and instrumenta-
tion, and ◗◗ Linking ISIS and CEOS WGCV IVOS Subgroup with focus on operational IS related calibration/validation and institutional requirements.
◗◗ ISO standards and their relevance and linkage and ISIS
community’s potential contribution. Details on this workshop will be discussed before IGARSS 2014 with the contributors to the calibration and validation session and iterated with all participants at the planned ISIS discussion forum at the conference.
Gabriele Moser, University of Genoa, Italy Devis Tuia, Ecole Polytechnique Fédérale de Lausanne, Switzerland Michal Shimoni, Royal Military Academy, Brussels, Belgium
2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data I. INTRODUCTION he 2014 Data Fusion Contest, organized by the Image Analysis and Data Fusion (IADF) Technical Committee of the IEEE Geoscience and Remote Sensing Society (GRSS), aims at providing a challenging image analysis opportunity, including multiresolution and multisensor fusion, very high resolution imagery, and a type of remote sensing data source previously not seen in past Data Fusion Contests. The 2014 Contest involves two datasets acquired at different spectral ranges and spatial resolutions: a coarser-resolution long-wave infrared (LWIR, thermal infrared) hyperspectral data set and fineresolution data acquired in the visible (VIS) wavelength range. The former is acquired by an 84-channel imager that covers the wavelengths between 7.8 to 11.5 µm with approximately one-meter spatial resolution. The latter is a series of color images acquired during separate flight-lines with approximately 20-cm spatial resolution. The two data sources cover an urban area near Thetford Mines in Québec, Canada (see Fig. 1), and were acquired and were provided for the Contest by Telops Inc. (Canada). The 2014 Data Fusion Contest has been framed as two parallel competitions: the Classification Contest and the Paper Contest. The Classification Contest took place in the past weeks, while the Paper Contest is currently open to the international community of remote sensing.
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Digital Object Identifier 10.1109/MGRS.2014.2303201 Date of publication: 8 April 2014
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II. THE CLASSIFICATION CONTEST The goal of the Classification Contest was to exploit coarser resolution thermal hyperspectral data and finer resolution color data to generate an accurate classification map at the finer of the two observed resolutions. Ranking for the Classification Contest was based on quantitative accuracy parameters computed with respect to undisclosed test samples. In addition to accuracy, another relevant aspect to assess a classification method is its computational burden, given the provided amount of training samples. In the 2014 Classification Contest, participants were given a limited time period to submit their classification maps after the competition was started. To also allow participants to effectively focus their methods on the proposed multiresolution task and type of input data, the Classification Contest has consisted of two steps. In the first step, the participants were provided with only a subset of the data endowed with ground truth to train their algorithms. In the second step, the participants received the whole data set and were asked to submit their classification maps over the whole imaged area in a short time period (two weeks). In parallel, they submitted descriptions of their classification approaches. III. HOW TO GET THE DATA AND ENTER THE PAPER CONTEST The Paper Contest aims at promoting novel synergetic uses of multiresolution and multisensor data as well as of thermal hyperspectral imagery. Participants will submit 4-page IEEE-style manuscripts using the aforementioned data for 21
Technical Committee: http://www.linkedin.com/group s?home=&gid=3678437&trk=anet_ug_hm&goback=. gmr_3678437. Note that, regardless of the common format, submissions to the IGARSS-2014 conference and to the Paper Contest are independent, i.e., a manuscript submitted to the Paper Contest will not be considered for inclusion in the IGARSS-2014 technical program.
Figure 1. Detail of the multisensor and multiresolution data set for the 2014 Data Fusion Contest: finer-resolution data from a color camera (left) and coarser-resolution datacube from a thermal hyperspectral camera (right). Data acquired and provided by Telops Inc.
fusion tasks. Each manuscript will describe the addressed problem, the proposed method, and the experimental results. The topic of the manuscript in the data fusion area is totally open and participants are encouraged to tackle open and cutting-edge problems in multisensor and/or multiresolution data processing, as well as in the analysis of thermal hyperspectral images. For this competition, additional data were also provided by Telops Inc., including ground spectral measurements associated with ground materials in the imaged area. To register for the Contest and download the data, participants can visit the GRSS website: http://www.grssieee.org/community/technical-committees/data-fusion/ data-fusion-contest/ and the Contest website: http:// cucciolo.dibe.unige.it/IPRS/IEEE_GRSS_IADFTC_2014_ Data_Fusion_Contest.htm. Participants are obliged to read and to accept the Contest terms and conditions. Each manuscript will be written in English and will be formatted as a PDF file following the guidelines and templates of the 2014 IEEE Geoscience and Remote Sensing Symposium (IGARSS-2014; details can be found at http://www.igarss2014.org). The manuscript will specify the name(s), affiliation(s), and e-mail contact(s) of the (individual or team) participant(s). Submission will consist in sending the manuscript as an attachment to an e-mail addressed to
[email protected]. The submission deadline is June 8, 2014. Questions and comments on the data and the Contest can be submitted to the Linkedin group of the IADF
IV. AWARD COMMITTEE FOR THE PAPER CONTEST Each manuscript submitted to the Paper Contest will be evaluated by an Award Committee on the basis of its novelty, scientific contribution, analysis and fusion methodology, experimental validation, and clarity of explanation. The Award Committee will be composed of: ◗◗ Jon A. Benediktsson, University of Iceland (Iceland) ◗◗ Martin Chamberland, Telops Inc., Québec (Canada) ◗◗ Jenny Q. Du, Mississippi State University (USA) ◗◗ Paolo Gamba, University of Pavia (Italy) ◗◗ Gabriele Moser, University of Genoa (Italy) ◗◗ Fabio Pacifici, DigitalGlobe Inc. (USA) ◗◗ Michal Shimoni, Royal Military Academy (Belgium) ◗◗ Devis Tuia, Ecole Polytechnique Fédérale de Lausanne (Switzerland). V. RESULTS, AWARDS, AND PRIZES The winning teams of both competitions will be awarded at IGARSS-2014 (Québec, Canada) in July 2014. The award ceremony will take place during the Technical Committee Event. Each winning team will be awarded an IEEE Certificate of Recognition and will receive a Nexus 7 tablet (one per team). Furthermore, a paper summarizing the outcomes of both competitions will be submitted to the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) and in order to maximize impact and promote the potential of current multisensor remote sensing technologies, the open-access option will be used for this submission. GRSS will cover the costs related to the prizes, to the open-access fees, and to the winning teams’ participation to the Technical Committee Event at IGARSS-2014. Acknowledgments The IADF Technical Committee and the Contest organizers wish to express their greatest appreciation to Telops Inc. for acquiring and providing the data used in both competitions, to the Centre de Recherche Public Gabriel Lippmann (CRPGL, Luxembourg) and to Dr. Martin Schlerf (CRPGL) for their contribution of the Hyper-Cam LWIR sensor, to Dr. Michaela De Martino (University of Genoa, Italy) for her contribution to the preparation of the Classification Contest, and to the IEEE GRSS for continuously supporting the annual Data Fusion Contest through funding and resources. GRS
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