• Overview

     

    The Image Analysis and Data Fusion Technical Committee (IADFTC) of the Geoscience and Remote Sensing Society serves as a global, multi-disciplinary, network for geospatial data fusion, with the aim of connecting people and resources, educating students and professionals, and promoting the best practices in data fusion applications.

    Join this Technical Committee

    Quit this Technical Committee

    The committee maintains this site and distributes an e-mail newsletter to all committee members on a regular basis. The IADFTC has two main activities:

    • organization of a special session held annually during the IGARSS meeting, gathering cutting edge contributions and covering various issues related to data fusion, such as: pan-sharpening, decision fusion, multimodal data fusion, data assimilation, multi-temporal data analysis, ensemble methods, etc.
    • organization of the Data Fusion Contest, a scientific challenge held annually since 2006. The Contest is open not only to IEEE members, but to everyone, with the goal of evaluating existing methodologies at the research or operational level to solve remote sensing problems using data from a variety of sensors.
  • Data Sets
    Indian Pines: This scene was gathered by AVIRIS sensor over the Indian Pines test site in North-western Indiana and consists of 145 X 145 pixels and 224 spectral reflectance bands in the wavelength range 0.4-2.5 X 10^(-6) meters. This scene is a subset of a larger one. The Indian Pines scene contains two-thirds agriculture, and one-third forest or other natural perennial vegetation. There are two major dual lane highways, a rail line, as well as some low density housing, other built structures, and smaller roads. Since the scene is taken in June some of the crops present, corn, soybeans, are in early stages of growth with less than 5% coverage. The ground truth available is designated into sixteen classes and is not all mutually exclusive. We have also reduced the number of bands to 200 by removing bands covering the region of water absorption: [104-108], [150-163], 220. [courtesy of: http://www.ehu.es/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes] download (matlab format): image data ground truth
    Pavia Centre: This scene was acquired by the ROSIS sensor during a flight campaign over Pavia, nothern Italy. The number of spectral bands is 102 with a size of 1096 X 1096 pixels, while some of the samples contain no information, and appear as broad black strips in the image. The geometric resolution is 1.3 meters. The groundtruth data indentifies 9 classes. [courtesy of: http://www.ehu.es/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes] download (matlab format): image data ground truth
    Salinas: This scene was collected by the 224-band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels). The area covered comprises 512 lines by 217 samples. As with Indian Pines scene, we discarded the 20 water absorption bands, in this case bands: [108-112], [154-167], 224. This image was available only as at-sensor radiance data. It includes vegetables, bare soils, and vineyard fields. Salinas groundtruth contains 16 classes. [courtesy of: http://www.ehu.es/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes] download

    (matlab format): image data ground truth

  • Contacts

    Dr. Devis Tuia
    Image Analysis and Data Fusion Technical Committee Chair
    Department of Geography
    University of Zurich
    Zurich
    Switzerland
    Email: devis.tuia@geo.uzh.ch

    Dr. Gabriele Moser
    Image Analysis and Data Fusion Technical Committee Co-Chair
    Department of Electrical, Electronic, and Telecommunications Engineering and Naval Architecture (DITEN)
    University of Genoa
    Via Opera Pia 11a
    16145 Genoa
    Italy
    Phone: +39-0192-1945135
    Fax: +39-0103-532134
    Email: gabriele.moser@unige.it

    Dr. Bertrand Le Saux
    Image Analysis and Data Fusion Technical Committee Co-Chair
    ONERA – DTIM
    2 Chemin de la Hunière
    FR-91761
    Palaiseau cedex
    France
    Phone: +33 1 80 38 65 73
    Fax: +33 1 80 38 68 82
    Email: bertrand.le_saux@onera.fr

    You can contact the Committee Chairs by email at: iadf_chairs@grss-ieee.org

    Join the LinkedIn IEEE GRSS Data Fusion Discussion Forum:
    http://www.linkedin.com/groups/IEEE-GRSS-Data-Fusion-Discussion-3678437

  • Technical Resources

    1. A list of open-source software that is relevant to work in geoscience and remote sensing.

    2. The presentation at the IGARSS-2014 meeting of the Image Analysis and Data Fusion Technical Committee.

  • Members
    Last Name First Name Affiliation Country
    Abbasi Bahareh University of Tehran Iran
    Abdelkebir Layachi KGC Algeria Algeria
    Achim Alin Univ of Bristol UK
    Ahn Yushin Michigan Technological University USA
    Akbari Davood Univ of Tehran Iran
    Akbari Vahid Department of Physics and Technology, University of Tromsø Norway
    Aksoy Selim Bilkent University Turkey
    Alampatta Shibumon Centre for Artificial Intelligence and Robotics, Ministry of Defence India
    Alboody Ahed University Paul Sabatier, Toulouse France
    Ali Iftikhar Department of Geoinformation for Environmental Planning, Technical University of Berlin Germany
    Ali Syed Saad Pakistan Space and Upper Atmosphere Research Commission, SUPARCO, The National Space Agency of Pakistan Pakistan
    Alsubaie Naif Univ of Calgary Canada
    Al-Wassai FirouzAbdullah Swami Ramanand Teerth Marathwada University, Nanded India
    Amel Gacem LARESI Algeria
    Amidi Ali Univ of Twente Netherlands
    Anfinsen Stian Normann UiT The Arctic University of Norway Norway
    Arastoo Behrooz Semnan Agriculture and Natural Resources Research Center Iran
    Aref Mohammad Mohseni Islamic Azad University Iran
    Ashapure Akash Indian Institute of Technology Kanpur India
    Ashraf Salman GNS Science New Zealand
    Asl Mohsen Ghamary Khaje Nasir Toosi University of Technology, Tehran Iran
    Awad Mohamad Remote Sensing Centre, CNRS Lebanon
    Ayazi S.M. Univ of Tehran Iran
    Ayoub Francois Caltech, Pasadena, CA USA
    Bagga Pankaj TCP Research Solution and E2Matrix India
    Baronti Stefano Nello Carrara Institute of Applied Physics (IFAC), National Research Council (CNR) Italy
    Basuni Agus Corporate Indonesia
    Becek Kazimierz Wroclaw Unive of Technology Poland
    Benediktsson Jon Atli Univ of Iceland Iceland
    Berger Christian Department for Earth Observation, Institute of Geography, Friedrich-Schiller-University Jena Germany
    Bhattacharjee Indraneel Trupti Sapphire Geoconsultants Mongolia
    Bielski Conrad JRC, Ispra Italy
    Biswas Biswajit Dept of Computer Science and Engineering, Univ of Calcutta India
    Bisyu Said Adam Hak Department of Energy and Mineral Resources of South Sulawesi Province Indonesia
    Blonda Palma Consiglio Nazionale delle Ricerche – Istituto di Studi sui Sistemi Intelligenti per l’Automazione CNR-ISSIA Italy
    Bodaghi Marzie Naghsh Click Data Processing International Company Iran
    Bodescu Florian Multidimension SRL, Bucharest Romania
    Boerner Wolfgang-Martin Dept of Electrical and Computer Engineering, Univ of Illinois at Chicago USA
    Borel Chris Riverside Research, OH USA
    Borne Frédéric CIRAD-Agricultural Research for Development,Montpellier FRANCE
    Bovolo Francesca Remote Sensing for Digital Earth – Fondazione Bruno Kessler Italy
    Bretschneider Timo R EADS Innovation Works Singapore Singapore
    Bruce Lori Mann Mississippi State Univ USA
    Bruckart Robert Corporate USA
    Bruzzone Lorenzo University of Trento Italy
    Campos-Taberer Manuel University of Valencia Spain
    Camps-Valls Gustau Univ of Valencia Spain
    Cao Zhimin Harbin Inst of Technology China
    Chamberland Martin Telops, Quebec Canada
    Chanussot Jocelyn GIPSA Lab, INP Grenoble France
    Charou Eleni Institute of Informatics & Telecommunications, National Center for Scientific Research ‘Demokritos’ Greece
    Chen Chen University of Texas at Dallas USA
    Chen Frederick W. MIT Lincoln Labs USA
    Chen Rubia Lotus (H&R) Inc. Taiwan
    Chini Marco Luxembourg Inst of Science and Technology Luxembourg
    Choi Jaewan Chungbuk National University Korea
    Choi Myungjin Korea Aerospace Research Institute Korea
    Choukade Yogesh SAI Consulting Engineers Pvt. Ltd. India
    Clausi David Univ of Waterloo Canada
    Clemente-Colón Pablo US National Ice Center USA
    Conte Roberto Univ of Salerno Italy
    Cossu Roberto European Space Agency UK
    Crawford Melba Purdue University USA
    Csatho Beata M. Dept of Geology, Univ of Buffalo USA
    Daniel Sandrine Capgemini S.A. France
    Davis Curt Univ of Missouri USA
    Del Frate Fabio Univ of Rome, Tor Vergata Italy
    Dell’Acqua Fabio Dept of Electrical Computer and Biomedical Engineering, Univ of Pavia Italy
    Demirkesen Can Inst of Science and Engineering, Galatasaray Univ, Ortakoy, Istanbul Turkey
    Djiknavorian Pascal Laval University Canada
    Dlamini Wisdom M. Swaziland National Trust Commission Swaziland
    Doan Huong T. X. University of Southampton, School of Geography UK
    Dong Yanfang Institute of Earthquake Science, China Earthquake Administration China
    dos Santos Jefersson Alex Universidade Federal de Minas Gerais Brazil
    dos Santos Valdenira Ferreira Pesquisadora do IEPA/CPAq Brazil
    Du Bo LIESMARS, Wuhan Univ China
    Du Jenny Q. Dept of Electrical and Computer Engineering, Mississippi State Univ USA
    Duzgun Sebnem Middle East Technical University, Ankara Turkey
    Ediriwickrema Jayantha US Environmental Protection Agency USA
    El Mezouar Miloud Chikr RCAM Laboratory, College of Engineering, Djillali Liabes University, Sidi-Bel-Abbes Algeria
    Esfahlan Amin Ghasemi Basir, Inc Iran
    Faria Fabio Augusto Federal University of Sao Paulo Brazil
    Fauvel Mathieu University of Toulouse – INP ENSAT France
    Femiani John C. Arizona State University USA
    Figueroa-Villanueva Miguel A. Univ of Puerto Rico, Mayaguez Puerto Rico
    Flusser Jan Institute of Information Theory and Automation Czech Republic
    Foody Giles Univ Nottingham UK
    Furuya Takashi Tohoku University Japan
    Gader Paul Univ of Florida USA
    Gamba Paolo Univ of Pavia Italy
    Gangodagamage Chandana Los Alamaos National Lab, NM USA
    García Isis Galván Instituto Politécnico Nacional Mexico
    Garzelli Andrea Univ of Siena Italy
    Gasiewski Albin Univ of Colorado, Boulder USA
    Gercek Deniz Kocaeli University Turkey
    Ghahremani Morteza Tarbiat Modares University Iran
    Ghasrodashti Elham Kordi Dept. of Electrical Engineering, Shiraz University Iran
    Ghassemian Hassan Tarbiat Modares University, Tehran Iran
    Ghosh Suddhasheel Indian Institute of Technology Kanpur India
    Gibson Carey Ontario Ministry of Natural Resources Canada
    Gittins Christopher United Technologies Aerospace Systems, Boston, MA USA
    Gokaraju Balakrishna Univ of West Alabama USA
    Goodenough David Univ of Victoria Canada
    Guo Qing Associate Professor at Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences China
    Gupta Sharad Maulana Azad National Institute of Technology, Bhopal India
    Hadavand Ahmad University of Tehran Iran
    Hanaizumi Hiroshi Hosei University Japan
    Hang Chen LIESMARS Shen Zhen Research and Development Center China
    Hardy Caroline University of Johannesburg South Africa
    Hashmi Syed Ghulam Mohayud Din Kinnaird College For Women University, Lahore Pakistan
    Hassani Hadiseh University of Tehran Iran
    He Chu Wuhan Univ China
    Helenon Charles-Albert Directeur général adjoint chez Conseil général Martinique Martinique
    Hellwich Olaf Technical Univ of Berlin Germany
    Hichri Haikel Salem Computer and Information Sciences, King Saud University Saudi Arabia
    Hou Qiang Chian University of Geosciences China
    Huang Bormin Space Science and Engineering Center, University of Wisconsin-Madison USA
    Huang HuaGuo Key Laboratory for Silviculture and Conservation of Ministry of Education China
    Huang Rui Shanghai University China
    Huo Lian-Zhi Institute of Remote Sensing Applications, Chinese Academy of Sciences China
    Hüt Christoph Institute of Geography, University of Cologne Germany
    Ilias Theodorakopoulos Univ of Patras Greece
    Iwasaki Akira Space Application Lab, Univ of Tokyo Japan
    Jaganjac Indir Self Employed Bosnia and Herzegovina
    Janez Fabrice Onera France
    Javan Farzaneh Dadaras University of Tehran Iran
    Jawak Shridhar National Centre For Antarctic & Ocean Research India
    Jayapalan Vivekan PSNA College of Engineering and Technology India
    Jeune Bjorn Consulting Geologist Guyana
    Jha Vikram Chandra Deep Learning Research Private Limited India
    Jun Liu Wuhan Univ China
    Kääb Andreas Univ of Oslo Norway
    Kandasamy Sivasathivel Canada Center for Remote Sensing Canada
    Karimi Saeed University of Guilan Iran
    Kasapoglu Necip Gokhan Universtiy of Tromsø Norway
    Kaya Gulsen Taskin Istanbul Technical University Turkey
    Kerekes John Rochester Institute of Technology USA
    Keshavarz Ahmad Persian Gulf University Iran
    Khan Haris Ahmad Institute of Space Technology, Islamabad Pakistan
    Khan Muhammad Murtaza National University of Sciences and Technology, Islamabad Pakistan
    Khobragade Anand N Maharashtra Remote Application Centre (MRSAC) India
    Khopkar Parag Dept of Geogrpahy, University of Pune, Ganeshkhind India
    Kianejad Seyed Abdollah Univ of Tafresh Iran
    Kiani Kamel Kerman Graduate University of Technology Iran
    Kim Yongmin Seoul National Univ South Korea
    King Roger Mississippi State Univ USA
    Kiyasu Senya Nagasaki Univ Japan
    Koeniguer Elise Onera France
    Kouchi Hamze Salimi Khaje Nasir Toosi Univ of Technology, Tehran Iran
    Kovalevskaya Nelley Institute for Water and Environmental Problems Russia
    Kumar Deepak Central University of Karnataka India
    Kumar Harish Indian Institute of Technology, Roorkee India
    Kumar S.S. Noorul Islam University India
    Kumar Vinay Indian Institute of Remote Sesning Dehradun India
    Kwon Heesung US Army Research Laboratory USA
    Lakshmi Venkat Univ of South Carolina USA
    Lampropoulos George A.U.G. Signals Ltd., Toronto Canada
    Landgrebe David Purdue Univ USA
    Lang Oliver Astrium GEO-Information Services Germany
    Latourette Kevin Lockheed Martin, CO USA
    Lee Lily MIT Lincoln Labs USA
    Lee Matthew A. Mississippi State Univ. USA
    Lefevre Sébastien Univ. Bretagne-Sud France
    Lemoigne Jacqueline NASA Goddard Space Flight Center USA
    Le Saux Bertrand Onera France
    Liao Wenzhi Ghent University Belgium
    Licciardi Giorgio Antonino GIPSA Lab, Grenoble Institute of Technology, Université Joseph Fourier and Université Stendhal France
    Li Dongyang Vhinese Academy of Sciences, Beijing China
    Li Ji-Ming Zhejiang University, Hangzhou China
    Li Peijun Peking University China
    Liu Bin Shanghai Jiao Tong University China
    Liu Dehong Mitsubishi Electric Research Laboratories, Cambridge, MA USA
    Liu Jie Peking University China
    Liu Sicong Tongji University China
    Liu Yansong Rochester Institute of Technology USA
    Li Wenbo Chinese Academy of Sciences, Hefei China
    Li Xiaodong Chinese Academy of Sciences, Wuhan China
    Lobzenev Vyacheslav Innovative Center, Moscow Russia
    Lombardo Pierfrancesco Sapienza, University of Rome Italy
    Longbotham Nathan Digital Globe, Longmont, CO USA
    Long David Brigham Young University, UT USA
    Lovergine Francesco Paolo ISSIA CNR – Bari Italy
    Lugari Alessandro Institute of Informatics and Telematics of CNR, IIT-CNR Italy
    Lunga Dalton Council for Scientific and Industrial Research (CSIR) Meraka Institute South Africa
    Luo Renbo Ghent University Belgium
    Luther Charles Office of Naval Research (retired) USA
    Lwin Aung Beihang University China
    Maboudi Mehdi Islamic Azad University Iran
    Mahmoudi Fatemeh Tabib Univ of Tehran Iran
    Makrogiannis Sokratis Delaware State University USA
    Marpu Prashanth Reddy Masdar Institute of Science and Technology UAE
    Marwaha Richa Indian Institute of Remote Sensing India
    Melgani Farid Univ of Trento Italy
    Meng Lingfei Academic USA
    Merentitis Andreas AGT International, Darmstadt Germany
    Migliazzi Mauro GLOBI Hi-Tech Srl Italy
    Minaei Masoud University of Vienna Austria
    Mirnazari Javad Universiti Teknologi Malaysia Malaysia
    Moghaddam Negin Fouladi Monash University Australia
    Mohammadzadeh Ali K. N. Toosi University of Technology, Faculty of Geodesy & Geomatics Engineering Iran
    Moon Wooil Unive of Manitoba Canada
    Moraru Simion Cooperative Trade University of Moldova Romania
    Moser Gabriele Univ of Genoa Italy
    Mura Mauro Dalla GIPSA Lab, Grenoble Institute of Technology France
    Neagoe Victor-Emil Polytechnic University of Bucharest Romania
    Nisa Zaib Government College University Faisalabad Pakistan
    Nishii Ryuei Kyushu University Japan
    Nokay Hasan Piksel Teknoloji Inc Turkey
    Osadciw Lisa Ann Syracuse Univ USA
    Ostrowski Juliusz PCI Geomatics, Inc Canada
    Pacifici Fabio Digital Globe, Inc., CO USA
    Palubinskas Gintautas German Aerospace Center (DLR) Germany
    Pandey Prem C. University of Leicester UK
    Panditrao Satej Indian National Center for Ocean Information Services, INCOIS India
    Pan Han School of Aeronautics and Astronautics, Shanghai Jiao Tong University China
    Parente Mario Univ of Massachusetts USA
    Paris Claudia University of Trento Italy
    Park Joong Yong Optech Inc, Ontario Canada
    Park Taejin Boston University USA
    Parvez Shahid University of the Punjab Pakistan
    Pascazio Vito Parthenope University of Naples Italy
    Patil Sudhir GIS Dept- Reliance Jio Infocom Ltd. India
    Peijun Du Nanjing Univ China
    Pervez Wasim National University of Science & Technology, Islamabad Pakistan
    Peterson Erica University of Toronto Institute for Aerospace Studies Canada
    Petrou Zisis Information Technologies Institute (CERTH-ITI) Greece
    Pichel William G. NOAA Center for Satellite Applications and Research USA
    Pinz Axel Graz University of Technology Austria
    Plaza Antonio Department of Technology of Computers and Communications, Escuela Politecnica de Caceres, University of Extremadura Spain
    Polli Diego European Centre for Training and Research in Earthquake Engineering Italy
    Prasad Anup Krishna Department of Applied Geology, Indian School of Mines, Dhanbad India
    Prasad Saurabh Univ of Houston USA
    Pugh Mark L. Air Force Research Lab USA
    Qazi Waqas Ahmed Institute of Space Technology Pakistan
    Qiao Xiaojun National Engineering Research Center for Information Technology in Agriculture China
    Rafiei Akbar Tehran University Iran
    Rahmaty Alireza Academic Iran
    Rahmawati Novi Gadjah Mada University Indonesia
    Rahnemoonfar Maryam Texas A&M University-Corpus Christi USA
    Rajabi Roozbeh Tarbiat Modares University Iran
    Ramdani Fatwa Tohoku Univ Japan
    Ramiya Anandakumar M. Indian Institute of Space Science and Technology India
    Ramuhalli Pradeep Pacific Northwest National Laboratory USA
    Ranchin Thierry Mines ParisTech France
    Randrianarivo Hicham Onera France
    Rasti Behnood University of Iceland Iceland
    Reising Steven Colorado State University USA
    Richards John Australian National University Australia
    Sadeghi Yaser University of Tehran Iran
    Salehi Bahram LookNorth, Inc, Newfoundland Canada
    Samanta Arindam AER, Inc USA
    Samat Alim Nanjing Univ China
    Sanyang Sankung Gambian Dept of Forestry The Gambia
    Searle Les True 3D, Inc, Queensland Australia
    Sedighi Amir Univ of Tabriz Iran
    Serpico Sebastiano DITEN-Univ. Of Genoa Italy
    Shah Vijay P. Mississippi State University USA
    Shen Linlin Shenzhen University China
    Sherrah Jamie DSTO Edinburgh Australia
    Shi Aiye College of Computer and Information Engineering, Hohai University China
    Shkvarko Yuriy Center for Research and Advanced Studies of the National Polytechnic Institute, CINVESTAV-IPN Mexico
    Shokr Mohammed Environment Canada Canada
    Sidda Geethesh Kumar CA State Univ Fullerton USA
    Siddique Muhammad Adnan Earth Observation & Remote Sensing, ETH Zurich Switzerland
    Sinica-Sinavskis Juris Institute of Electronics and Computer Science Latvia
    Slamani M. Adel MHA Technologies, Inc, Washington, DC USA
    Small David Univ of Zurich Switzerland
    Smits Paul European Commission DG Joint Research Centre (JRC) Italy
    Solberg Anne H Schistad Dept of Informatics, Univ of Oslo Norway
    Speckert Glen SpeckTech Inc USA
    Spencer Clyde H. Bio-Geo-Recon Inc., Sonora, CA USA
    Sridharan Harini Oak Ridge National Lab USA
    Srinivas Umamahesh Apple Computer, Inc., Cupertino, CA USA
    Streltsov Simon LongShortWay Inc., Boston, MA USA
    Su Yuan-Fong National Science and Technology Center for Disaster Reduction (NCDR) Taiwan ROC
    Tahrat Omar StereoPhot,S.a.r.l Algeria
    Talebi Nahr Siamak Department of Civil and Geomatics Engineering, Tafresh University Iran
    Talukdar Gautam Wildlife Institute of India India
    Tanaka Shojiro Shimane University Japan
    Tang Hong State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University China
    Tao Jianwei Shanghai Jiao Tong University China
    Tarabalka Yuliya INRIA Sophia Antipolis France
    Tian Bingwei Kyoto Univ Japan
    Tilton James NASA Goddard Space Flight Center USA
    Tompkinson William Ordinance Survey UK
    Torres Tannia Mayorga Universidad Central del Ecuador Ecuador
    Trouvé Emmanuel Univ Savoie Mont Blanc France
    Tsatsoulis Costas Univ of North Texas USA
    Tsukamoto Naoko Tohoku University Japan
    Tuia Devis Dept of Geography, University of Zurich Switzerland
    Tupin Florence TelecomParisTech France
    Uddin Ahammad Shuzan Nazim Institute of Water Modeling Bangladesh
    ud-Din Nizam The Urban Unit, The Government of the Punjab Pakistan
    ul Islam Zaheer Institute of Geographical Information Systems, National University of Sciences & Technology Pakistan
    Ustuner Mustafa Yildiz Technical University Turkey
    Vahidi Hossein Khavaran Institute of Higher Education Iran
    Vakalopoulou Maria National Technical University of Athens Greece
    Velez-Reyes Miguel University of Texas, El Paso USA
    Villalon-Turrubiates Ivan Universidad Jesuita de Guadalajara Mexico
    Vohra Rubeena Bharati Vidyapeeth College of Engineering India
    Volpi Riccardo University College Cork Ireland
    Waske Bjorn Univ of Bonn Germany
    Wei Qi School of Electronic Information Engineering, Beihang University China
    Xia Gui-Song State Key Lab. LIESMARS, Wuhan University China
    Xiao Jiangtao University of Electronic Science and Technology of China, Chengdu China
    Yang Wen Wuhan University China
    Yıldırım Alper Tubitak UEKAE/Iltaren, Ankara Turkey
    Ying Yang Michael TU Dresden Germany
    Yokoya Naoto University of Tokyo Japan
    Younan Nick Mississippi State Univ USA
    Yudin Ilya Digital Globe, Inc. USA
    Yusuf Yuhendra Chiba University Japan
    Zare Alina Univ of Missouri USA
    Zerubia Josiane INRIA Sophia Antipolis Méditerranée France
    Zhang Hai Wuhan Univ China
    Zhang Hongyan The State Key Laboratory ofInformation Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University China
    Zhang Lefei State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University China
    Zhang Yun Univ of New Brunswick Canada
    Zhiping Lin Nanyang Technological Univ Singapore
    Zhixiang Yang Hohai University China
    Zhong Zisha Chinese Academy of Sciences China
    Zubair Muhammad Islamic Relief Worldwide Pakistan
  • Data Fusion Contest

    2016 IEEE GRSS Data Fusion Contest:
    Very High Temporal Resolution from Space

    2016 IEEE GRSS Data Fusion Contest | Banner

    The Contest: Goals and Organization

    The 2016 IEEE GRSS Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee, aims at promoting progress on fusion and analysis methodologies for multisource remote sensing data.

    New multi-source, multi-temporal data including Very High Resolution (VHR) multi-temporal imagery and video from space are released this year. Submissions to the contest are scientific papers presenting the research work done on these data. The best ones will be included in the Technical Program of IGARSS 2016, presented in an oral Invited Session, and published in the IGARSS 2016 Proceedings.

    The following challenging data sources are released to the community. First, VHR images (DEIMOS-2 standard products) acquired at two different dates, before and after orthorectification:

    • Panchromatic data at 1 m spatial resolution point spacing
    • Multispectral data at 4 m spatial resolution point spacing

    Second, a video from an in-orbit camera:

    • High-Definition Video acquired from the International Space Station (ISS), at 1-m spatial resolution

    The data cover an urban and harbor area in Vancouver, Canada, and were acquired and provided for the Contest by Deimos Imaging and Urthecast.

    Participants to the Contest are requested to submit 4-page original manuscripts using these data. The topic of each manuscript is totally open in the domain of extremely high resolution and multisource image interpretation. Possible topics include (but are not restricted to): registration (image to image, video to image), change detection, multi-temporal analysis, object detection and tracking (buildings, cars, vessels), image classification (multisensor or multiresolution).

    Submission deadline for both tracks is April 29, 2016.

    Each manuscript will be evaluated and ranked by an Award Committee on the basis of its novelty, scientific contribution, methodological approach, experimental validation, and clarity of explanation.

    The Data

    The imaging data were acquired on March, 31, and May, 30, 2015, over Vancouver, Canada (49°15’N 123°6’W), from the DEIMOS-2 satellite. DEIMOS-2 operates from a Sun-synchronous orbit at a mean altitude of 620km. The spacecraft design is based on an agile platform for fast and precise off-nadir imaging (up to +/-30° over nominal scenarios and up to +/-45° in emergency cases), and carries a push-broom very high resolution camera with 5 spectral channels (1 panchromatic, 4 multispectral with red, green, blue and NIR bands).

    For each date, four images are provided: panchromatic images at 1 m resolution and multispectral product (R, G, B, NIR) at 4 m resolution, both at levels 1B (a calibrated and radiometrically corrected product, not resampled; with the geometric information contained in a RPC separated file) and 1C (a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid; the geometric information is contained in the GeoTIFF tags.) Level 1C images cover exactly the same ground area for both dates.

    The full colour, UHD video was acquired over Vancouver on July, 2nd, 2015. The High-Resolution camera, Iris, is installed on the Zvezda module of the International Space Station (ISS). Iris uses a CMOS detector to capture RGB videos with a Ground Sample Distance as fine as 1-meter, at 3 frames per second. Iris videos use image frames that have been fully ortho-rectified and resampled to 1-meter. Frame format is 3840×2160 pixels and cover approximately 3.8km × 2.1km.

    Results, Awards, and Prizes

    • The authors of the 4 best ranking manuscripts will:
      • Be awarded IEEE Certificates of Recognition. The award ceremony will take place during the Technical Committees and Chapter Chairs Dinner at IGARSS 2016, Beijing, China
      • Present their manuscripts in an oral Invited Session dedicated to the Contest at IGARSS 2016
      • Publish their manuscripts in the Proceedings of IGARSS 2016
    • The first and second ranked teams will co-author a journal paper (in a limit of 3 co-authors per submission), which will summarize the outcome of the Contest and will be submitted to IEEE JSTARS. To maximize impact and promote the potential of current multisource remote sensing technologies, the open-access option will be used for this journal submission.
    • The authors of the winning manuscript (1st ranking) will receive as a prize an NVIDIA GPU graphics card.

    The costs for open-access publication, for the winners participations to the Technical Committees and Chapter Chairs Dinner at IGARSS 2016 will be supported by the GRSS. The winner team prize is kindly sponsored by the IGARSS 2016 team.

    Award Committee

    • Jon A. Benediktsson, University of Iceland
    • Sven Cowan, UrtheCast, Canada
    • Jenny Q. Du, Mississippi State University, MS
    • Roberto Fabrizi, Deimos Imaging, Spain
    • Paolo Gamba, University of Pavia, Italy
    • Bertrand Le Saux, ONERA, France
    • Gabriele Moser, University of Genoa, Italy
    • Fabio Pacifici, DigitalGlobe Inc., CO
    • Devis Tuia, University of Zurich, Switzerland

    The Rules of the Game

    • Data can be requested by registering for the Contest. Participants must read and accept the Contest Terms and Conditions.
    • Deadline for manuscript submission is April 29, 2016, 23:59 UTC – 12 hours (e.g., April 30, 2016, 7:59 in New York City, 13:59 in Paris, or 19:59 in Beijing).
    • Each submitted manuscript will be authored by one or more co-authors (team of participants). One and only one submission originating from each team will be allowed to the Contest. Should multiple entries from the same team be received for the same track, then exclusively the first submission received will be considered.
    • Submission will be processed using the easy chair service dedicated to the Data Fusion Contest 2016.
    • Submission will be compliant with the following formatting instructions:

    Failure to follow any of these rules will automatically make the submission invalid, resulting in the manuscript not being evaluated.

    Participants to the Contest are not requested to submit an extended abstract to IGARSS 2016 by the corresponding conference deadline in January 2016. They will submit their 4-page full papers directly to the Contest by April 29, 2016. The received manuscripts will be evaluated by the Award Committee of the Contest, and the 4 best ranking full papers will be directly included in the IGARSS Technical Program and Proceedings.

    Discussion Forum

    Click here to post your questions and comments to the LinkedIn group of the IADF TC.

    Acknowledgment

    The Contest is being organized in collaboration with Deimos Imaging and UrtheCast. The IADF TC wishes to express its greatest appreciation to Deimos Imaging and UrtheCast, for acquiring and providing the data used in the competition and for indispensable contribution to the organization of the Contest, and to the IEEE GRSS for continuously supporting the annual Data Fusion Contest through funding and resources.

    How to Get the Data

    The data are provided only for the purpose of participation in the 2016 Data Fusion Contest. To request the data set, please click here to proceed to registration.

    By submitting the registration form, participants acknowledge that they register to the Contest, that they have read the following Contest Terms and Conditions, and that they agree to these terms and conditions:

    • The owner of the data and of the copyright on the data is Deimos Imaging, Spain.
    • The data are only available for the scientific purposes of the 2016 IEEE GRSS Data Fusion Contest.
    • Any dissemination or distribution of the data by any registered user is strictly forbidden.
    • The data can be used in scientific publications subject to approval by the IEEE GRSS Image Analysis and Data Fusion Technical Committee and by the data owner on a case-by-case basis. To submit a scientific publication for approval, the publication shall be sent as an attachment to an e-mail addressed to iadf_chairs@grss-ieee.org and roberto.fabrizi@deimos.com.
    • In any scientific publication using the data, the data shall be identified as “grss_dfc_2016” and shall be referenced as follows: “[REF. NO.] 2016 IEEE GRSS Data Fusion Contest. Online: http://www.grss-ieee.org/community/technical-committees/data-fusion”.
    • Any scientific publication using the data shall include a section “Acknowledgement”. This section shall include the following sentence: “The authors would like to thank Deimos Imaging for acquiring and providing the data used in this study, and the IEEE GRSS Image Analysis and Data Fusion Technical Committee.”
  • Past Contests

    2015: The 2015 Contest was focused on multiresolution and multisensor fusion at extremely high spatial resolution. A 5-cm resolution color RGB orthophoto and a LiDAR dataset, for which both the raw 3D point cloud with a density of 65 pts/m² and a digital surface model with a point spacing of 10 cm, were distributed to the community. These data were collected using an airborne platform over the harbor and urban area of Zeebruges, Belgium. The department of Communication, Information, Systems and Sensors of the Belgian Royal Military Academy acquired and provided the dataset. Participants were supposed to submit original IGARSS-style full papers using these data for the generation of either 2D or 3D thematic mapping products at extremely high spatial resolution.
    Contest Rules
    Contest Results

    2014: The 2014 Contest involved two datasets acquired at different spectral ranges and spatial resolutions: a coarser-resolution long-wave infrared (LWIR, thermal infrared) hyperspectral data set and fine-resolution data acquired in the visible (VIS) wavelength range. The former was acquired by an 84-channel imager covering the wavelengths between 7.8 to 11.5 μm with approximately 1-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, and were acquired and were provided for the Contest by Telops Inc. (Canada). A ground truth with 7 landcover classes is provided and the mapping is performed at the higher of the two data resolutions.
    Contest Rules
    Classification Contest Results
    Paper Contest Results
    Paper: W. Liao, X. Huang, F. Van Coillie, S. Gautama, A. Pizurica, W. Philips, H. Liu, T. Zhu, M. Shimoni, G. Moser, D. Tuia. Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS DataFusion Contest. IEEE J. Sel. Topics Appl. Earth Observ. and Remote Sensing, 8(6): 2984-2996, 2015.

    2013: The 2013 Contest involved two datasets – a hyperspectral image and a LiDAR derived Digital SurfaceModel (DSM), both at the same spatial resolution (2.5m). The hyperspectral imagery has 144 spectral bands in the 380 nm to 1050 nm region. The dataset was acquired over the University of Houston campus and the neighboring urban area. A ground reference with 15 land use classes is available.
    Contest Rules
    Classification Contest Results
    Paper Contest Results
    Paper: Debes, C. ; Merentitis, A. ; Heremans, R. ; Hahn, J. ; Frangiadakis, N. ; van Kasteren, T. ; Liao, W. ; Bellens, R. ; Pizurica, A. ; Gautama, S. ; Philips, W. ; Prasad, S. ; Du, Q. ; Pacifici, F. : Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest. IEEE J. Sel. Topics Appl. Earth Observ. and Remote Sensing, 7 (6) pp. 2405-2418.

    2012: The 2012 Contest was designed to investigate the potential of multi-modal/multi-temporal fusion of very high spatial resolution imagery in various remote sensing applications [6]. Three different types of data sets (optical, SAR, and LiDAR) over downtown San Francisco were made available by DigitalGlobe, Astrium Services, and the United States Geological Survey (USGS), including QuickBird, WorldView-2, TerraSAR-X, and LiDAR imagery. The image scenes covered a number of large buildings, skyscrapers, commercial and industrial structures, a mixture of community parks and private housing, and highways and bridges. Following the success of the multi-angular Data Fusion Contest in 2011, each participant was again required to submit a paper describing in detail the problem addressed, method used, and final results generated for review.
    Paper: Berger, C.; Voltersen, M.; Eckardt, R.; Eberle, J.; Heyer, T.; Salepci, N.; Hese, S.; Schmullius, C.; Tao, J.; Auer, S.; Bamler, R.; Ewald, K.; Gartley, M.; Jacobson, J.; Buswell, A.; Du, Q.; Pacifici, F., “Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.6, no.3, pp.1324-1340, June 2013.

    2011: A set of WorldView-2 multi-angular images was provided by DigitalGlobe for the 2011 Contest. This unique set was composed of five Ortho Ready Standard multi-angular acquisitions, including both 16 bit panchromatic and multispectral 8-band images. The data were collected over Rio de Janeiro (Brazil) in January 2010 within a three minute time frame with satellite elevation angles of 44.7°, 56.0°, and 81.4° in the forward direction, and 59.8° and 44.6° in the backward direction. Since there were a large variety of possible applications, each participant was allowed to decide a research topic to work on, exploring the most creative use of optical multi-angular information. At the end of the Contest, each participant was required to submit a paper describing in detail the problem addressed, the method used, and the final result generated. The papers submitted were automatically formatted to hide names and affiliations of the authors to ensure neutrality and impartiality of the reviewing process.
    Paper: F. Pacifici, Q. Du, “Foreword to the Special Issue on Optical Multiangular Data Exploitation and Outcome of the 2011 GRSS Data Fusion Contest”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 1, pp.3-7, February 2012.

    2009-2010: In 2009-2010, the aim of Contest was to perform change detection using multi-temporal and multi-modal data. Two pairs of data sets were available over Gloucester, UK, before and after a flood event. The data set contained SPOT and ERS images (before and after the disaster). The optical and SAR images were provided by CNES. Similar to previous years’ Contests, the ground truth used to assess the results was not provided to the participants. Each set of results was tested and ranked a first time using the Kappa coefficient. The best five results were used to perform decision fusion with majority voting. Then, re-ranking was carried out after evaluating the level of improvement with respect to the fusion results.
    Paper: N. Longbotham, F. Pacifici, T. Glenn, A. Zare, M. Volpi, D. Tuia, E. Christophe, J. Michel, J. Inglada, J. Chanussot, Q. Du “Multi-modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 1, pp. 331-342, February 2012.

    2008: The 2008 Contest was dedicated to the classification of very high spatial resolution (1.3 m) hyper-spectral imagery. The task was again to obtain a classification map as accurate as possible with respect to the unknown (to the participants) ground reference. The data set was collected by the Reflective Optics System Imaging Spectrometer (ROSIS-03) optical sensor with 115 bands covering the 0.43-0.86 μm spectral range.
    Data
    Paper: G. Licciardi, F. Pacifici, D. Tuia, S. Prasad, T. West, F. Giacco, J. Inglada, E. Christophe, J. Chanussot, P. Gamba, “Decision fusion for the classification of hyperspectral data: outcome of the 2008 GRS-S data fusion contest”, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3857-3865, November 2009.

    2007: In 2007, the Contest theme was urban mapping using synthetic aperture radar (SAR) and optical data, and 9 ERS amplitude data sets and 2 Landsat multi-spectral images were made available. The task was to obtain a classification map as accurate as possible with respect to the unknown (to the participants) ground reference, depicting land cover and land use patterns for the urban area under study.
    Data
    Paper: F. Pacifici, F. Del Frate, W. J. Emery, P. Gamba, J. Chanussot, “Urban mapping using coarse SAR and optical data: outcome of the 2007 GRS-S data fusion contest”, IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 3, pp. 331-335, July 2008.

    2006: The focus of the 2006 Contest was on the fusion of multispectral and panchromatic images [1]. Six simulated Pleiades images were provided by the French National Space Agency (CNES). Each data set included a very high spatial resolution panchromatic image (0.80 m resolution) and its corresponding multi-spectral image (3.2 m resolution). A high spatial resolution multi-spectral image was available as ground reference, which was used by the organizing committee for evaluation but not distributed to the participants.
    Paper: L. Alparone, L. Wald, J. Chanussot, C. Thomas, P. Gamba, L. M. Bruce, “Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data fusion contest”, IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 10, pp. 3012–3021, Oct. 2007.

    For any information about past Data Fusion Contests, released data, and the related terms and conditions, please write to iadf_chairs@grss-ieee.org.