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2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium

7 - 9 March, 2022 • Virtual Conference

2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium

7 - 9 March, 2022 • Virtual Conference

MO2.1

Rapid Mapping of Landslides From Sentinel-2 Data Using Unsupervised Deep Learning

Hejar Shahabi, Institute of Geography, Slovak Academy of Sciences, Stefanikova 49, 814 73 Bratislava, Slovakia, Slovakia; Maryam Rahimzad, Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Iran, Iran; Omid Ghorbanzadeh, Institute of Advanced Research in Artificial Intelligence (IARAI), Landstraße \ Hauptstraße \ 5, 1030 Vienna, Austria., Austria; Sepideh Tavakkoli Piralilou, Department of Geoinformatics Z_GIS, University of Salzburg, 5020 Salzburg, Austria, Austria; Saeid Homayouni, Centre Eau Terre Environnement, Institut National de la Recherche Scientifique,Québec, QC G1K 9A9, Canada., Canada; Thomas Blaschke, Department of Geoinformatics Z_GIS, University of Salzburg, 5020 Salzburg, Austria., Austria; Pedram Ghamisi, (3) Institute of Advanced Research in Artificial Intelligence (IARAI), Landstraßer Hauptstraße 5, 1030 Vienna, Austria., Austria
Session:
Deep-Learning 2
Track:
Data Analysis Methods
Location:
Oral Room
Presentation Time:
Mon, 7 Mar, 18:15 - 18:30 China Standard Time (UTC +8)
Mon, 7 Mar, 11:15 - 11:30 Central European Standard Time (UTC +1)
Mon, 7 Mar, 10:15 - 10:30 Coordinated Universal Time
Mon, 7 Mar, 05:15 - 05:30 Eastern Standard Time (UTC -5)
Session Co-Chairs:
Fatih Nar, Ankara Yıldırım Bayezid University and Erchan Aptoula, Gebze Technical University
Presentation
Discussion
Resources
Session MO2
MO2.1: Rapid Mapping of Landslides From Sentinel-2 Data Using Unsupervised Deep Learning
Hejar Shahabi, Institute of Geography, Slovak Academy of Sciences, Stefanikova 49, 814 73 Bratislava, Slovakia, Slovakia; Maryam Rahimzad, Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Iran, Iran; Omid Ghorbanzadeh, Institute of Advanced Research in Artificial Intelligence (IARAI), Landstraße \ Hauptstraße \ 5, 1030 Vienna, Austria., Austria; Sepideh Tavakkoli Piralilou, Department of Geoinformatics Z_GIS, University of Salzburg, 5020 Salzburg, Austria, Austria; Saeid Homayouni, Centre Eau Terre Environnement, Institut National de la Recherche Scientifique,Québec, QC G1K 9A9, Canada., Canada; Thomas Blaschke, Department of Geoinformatics Z_GIS, University of Salzburg, 5020 Salzburg, Austria., Austria; Pedram Ghamisi, (3) Institute of Advanced Research in Artificial Intelligence (IARAI), Landstraßer Hauptstraße 5, 1030 Vienna, Austria., Austria
MO2.2: Local Spectral Super-Resolution for ALSAT-2B Images with Application to Anomaly Detection
Achraf Djerida, Moussa Sofiane Karoui, Algerian space agency, Algeria
MO2.3: AN ENCODER-DECODER U-NET BASED MODEL FOR OVERHEATED PHOTOVOLTAIC MODULES EXTRACTION FROM ORTHORECTIFIED REMOTELY SENSED THERMAL INFRARED UAV IMAGERY
Yahya Zefri, Imane Sebari, Hicham Hajji, School of Geomatics and Surveying Engineering, IAV Hassan II, Morocco; Ghassane Aniba, Mohammadia School of Engineers, Mohammed V University in Rabat, Morocco