TUP.P15: Multi-Modal/Multi-Band Analysis
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 15
Session Type: Poster
Session Chair: Mehmet Ogut, Jet Propulsion Laboratory
Track: Data Analysis

TUP.P15.1: TOWARDS A METHOD FOR TAKING ACCOUNT OF UNCERTAINTIES THROUGH THE CALCULATION OF MASSES IN THE CONTEXT OF A FUSION OF HETEROGENEOUS MULTI-SENSOR DATA ON AIR POLLUTION
AYMERIC AMBERT, Mickael GERMAIN, Yacine BOURROUBI, Université de sherbrooke, Canada

TUP.P15.2: MULTI-SENSOR DATA FUSION TO ENHANCE MARITIME SITUATIONAL AWARENESS
Elena Morando, Technische Universität Berlin, Germany; Filippo Christian Daffina', Torbjorn Stahl, Chiara Pratola, e-GEOS S.p.A, Italy; Maria Michela Corvino, ESA ESRIN, Italy

TUP.P15.3: ROBUST FEATURE MATCHING WITH GLOBAL-LOCAL CONSISTENCY NETWORK FOR MULTIMODAL IMAGE REGISTRATION
Yuyan Liu, Wei He, Wuhan university, China; Hongyan Zhang, China University of Geosciences, China

TUP.P15.4: GEDI AND SENTINEL-2 INTEGRATION FOR MAPPING COMPLEX WETLANDS
Sarina Adeli, Bahram Salehi, SUNY College of Environmental Science and Forestry, United States; Lindi J. Quackenbush, State University of New York, College of Environmental Science and Forestry, United States; Masoud Mahdianpari, C-CORE and Memorial University of Newfoundland, Canada

TUP.P15.5: SPATIAL RESOLUTION ENHANCEMENT OF PRISMA HYPERSPECTRAL DATA VIA NESTED HYPERSHARPENING WITH SENTINEL-2 MULTISPECTRAL DATA
Andrea Garzelli, Claudia Zoppetti, University of Siena, Italy; Alberto Arienzo, OHB System AG, Germany; Luciano Alparone, University of Florence, Italy

TUP.P15.6: OPTIMIZING THE USE OF AVAILABLE DATA IN MODIS-LANDSAT SPATIO-TEMPORAL IMAGE FUSION
Harkaitz Goyena, Unai Pérez-Goya, Ana F. Militino, M. Dolores Ugarte, Public University of Navarre, Spain

TUP.P15.7: DATA FUSION OF INSAR DATA FOR INCREASING GROUND DEFORMATION MAPPING AND SPATIAL COVERAGE
Alessandro Brunetti, Michele Gaeta, Carlo Alberto Stefanini, NHAZCA S.r.l, Italy; Claudia Masciulli, Giorgia Berardo, Andrea Massi, Paolo Mazzanti, Sapienza University of Rome, Italy

TUP.P15.8: A COMPARATIVE ASSESSMENT OF MULTI-VIEW FUSION LEARNING FOR CROP CLASSIFICATION
Francisco Mena, University of Kaiserslautern-Landau (RPTU), Germany; Diego Arenas, Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence (DFKI), Germany

TUP.P15.9: SPATIAL EXTENT-AWARE MULTIMODAL FUSION METHOD FOR MEASURING URBAN SOCIOECONOMIC STATUS
Fang Fang, Jiahui Zhang, Shengwen Li, Daoyuan Zheng, Linyun Zeng, Bo Wan, China University of Geosciences, China

TUP.P15.10: MULTI-MODAL DEEP LEARNING FOR MULTI-TEMPORAL URBAN MAPPING WITH A PARTLY MISSING OPTICAL MODALITY
Sebastian Hafner, Yifang Ban, KTH Royal Institute of Technology, Sweden