Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 2020

9–11 March, 2020 • Tunis, Tunisia

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    • My M2GARSS 2020 Schedule

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    MO2.1: Deep Learning I

    Session Type: Oral
    Time: Monday, March 9, 11:20 - 12:40
    Location: Valetta
    Session Chair: John Kerekes, Rochester Institute of Technology, USA
     
      MO2.1.1: A NEW CNN-RNN FRAMEWORK FOR REMOTE SENSING IMAGE CAPTIONING
    Genc Hoxha, Farid Melgani, Jacopo Slaghenauffi, University of Trento, Italy
     
      MO2.1.2: WHICH CNN LAYER FOR WHICH CHANGE? A CNN ADAPTATION APPROACH FOR CHANGE DETECTION IN REMOTE SENSING DATA
    Yacine Slimani, University Ferhat Abbas Setif 1, Algeria; Rachid Hedjam, Sultan Qaboos University, Oman
     
      MO2.1.3: DEEP LEARNING MODELS PERFORMANCE FOR NDVI TIME SERIES PREDICTION: A CASE STUDY ON NORTH WEST TUNISIA
    Manel Rhif, Laboratoire RIADI, École Nationale des Sciences de l’Informatique, Manouba, Tunisia; Ali Ben Abbes, Centre d’applications et de Recherches en Télédétection (CARTEL), Université de Sherbrooke, Canada; Beatriz Martinez, Departament de Física de la Terra i Termodinàmica, Universitat de València, Spain; Imed Riadh Farah, Laboratoire RIADI, École Nationale des Sciences de l’Informatique, Manouba, Tunisia
     
      MO2.1.4: TLDCNN: A TRIPLET LOW DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS FOR HIGH-RESOLUTION REMOTE SENSING IMAGE RETRIEVAL
    Yaakoub Boualleg, Mohamed Farah, Imed Riadh Farah, University of Manouba, Tunisia