2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title WE2.R7: Incorporating Physics into Deep Learning
Presentation Mode Virtual
Session Time Wed, 30 Sep, 14:30 - 16:30 UTC
Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsKatarina Doctor, U.S. Naval Research Laboratory and Jocelyn Chanussot, Univ. Grenoble Alpes; University of Iceland
WE2.R7.1: PHYSICS-GUIDED MACHINE LEARNING: ADVANCES IN AN EMERGING PARADIGM COMBINING SCIENTIFIC KNOWLEDGE WITH MACHINE LEARNING
         Anuj Karpatne; Virginia Tech
WE2.R7.2: PHYSICALLY INFORMED NEURAL NETWORKS FOR THE SIMULATION AND DATA-ASSIMILATION OF GEOPHYSICAL DYNAMICS
         Said Ouala; IMT-Atlantique
         Ronan Fablet; IMT-Atlantique
         Lucas Drumetz; IMT-Atlantique
         Bertrand Chapron; Ifremer
         Ananda Pascual; IMEDEA
         Fabrice Collard; ODL
         Lucile Gaultier; ODL
WE2.R7.3: PROCESS GUIDED DEEP LEARNING FOR MODELING PHYSICAL SYSTEMS: AN APPLICATION IN LAKE TEMPERATURE MODELING
         Xiaowei Jia; University of Minnesota
         Jared Willard; University of Minnesota
         Anuj Karpatne; Virginia Tech
         Jordan Read; USGS
         Jacob Zwart; USGS
         Michael Steinbach; University of Minnesota
         Vipin Kumar; University of Minnesota
WE2.R7.4: VISUALIZATION OF DEEP TRANSFER LEARNING IN SAR IMAGERY
         Abu Md Niamul Taufique; Rochester Institute of Technology
         Navya Nagananda; Rochester Institute of Technology
         Andreas Savakis; Rochester Institute of Technology
WE2.R7.5: EXPLORING THE RELATIONSHIPS BETWEEN SCATTERING PHYSICS AND AUTO-ENCODER LATENT-SPACE EMBEDDING
         Shaunak De; Orbital Insight Inc.
         Christian Clanton; Orbital Insight Inc.
         Steven Bickerton; Orbital Insight Inc.
         Oliwia Baney; Orbital Insight Inc.
         Kaushik Patnaik; Orbital Insight Inc.
WE2.R7.6: ON THE OPTIMAL DESIGN OF CONVOLUTIONAL NEURAL NETWORKS FOR EARTH OBSERVATION DATA ANALYSIS BY MAXIMIZATION OF INFORMATION EXTRACTION
         Andrea Marinoni; UiT The Arctic University of Norway
         Gianni Christian Iannelli; Ticinum Aerospace
         Salman Khaleghian; UiT The Arctic University of Norway
         Paolo Gamba; University of Pavia
WE2.R7.7: BUILDING EXTRACTION BY GATED GRAPH CONVOLUTIONAL NEURAL NETWORK WITH DEEP STRUCTURED FEATURE EMBEDDING
         Yilei Shi; Technical University of Munich
         Qinyu Li; Technical University of Munich
         Xiao Xiang Zhu; Technical University of Munich
WE2.R7.8: MULTI-SPECTRAL IMAGE CLASSIFICATION WITH QUANTUM NEURAL NETWORK
         Piotr Gawron; Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences
         Stanisław Lewiński; Space Research Centre, Polish Academy of Sciences
WE2.R7.9: AN ENSEMBLE APPROACH FOR COMPRESSIVE SENSING WITH QUANTUM ANNEALERS
         Ramin Ayanzadeh; University of Maryland, Baltimore County
         Milton Halem; University of Maryland, Baltimore County
         Tim Finin; University of Maryland, Baltimore County