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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
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Session Detail
Session Title
TH2.R7: Integrating Physical Models into Machine Learning (ML) Models
Presentation Mode
Virtual
Session Time
Thu, 01 Oct, 14:30 - 16:30 UTC
Thu, 01 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Thu, 01 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Thu, 01 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Chairs
James Murphy, Tufts University and Jacqueline Le Moigne, NASA ESTO
TH2.R7.1:
THE ROLE OF PHYSICAL MODELS IN THE ARTIFICIAL INTELLIGENCE ERA
Lorenzo Bruzzone;
University of Trento
TH2.R7.2:
COMBINING PARAMETRIC LAND SURFACE MODELS WITH MACHINE LEARNING
Craig Pelissier;
NASA
Jonathan Frame;
University of Alabama
Grey Nearing;
University of Alabama
TH2.R7.3:
DNN-BASED SEMANTIC EXTRACTION: FAST LEARNING FROM MULTISPECTRAL SIGNATURES
Iulia Calota;
University Politehnica of Bucharest
Daniela Faur;
University Politehnica of Bucharest
Mihai Datcu;
University Politehnica of Bucharest; German Aerospace Center
TH2.R7.4:
A DEEP MACHINE LEARNING APPROACH FOR LIDAR BASED BOUNDARY LAYER HEIGHT DETECTION
Jennifer Sleeman;
University of Maryland Baltimore County
Zhifeng Yang;
University of Maryland Baltimore County
Vanessa Caicedo;
University of Maryland Baltimore County
Milton Halem;
University of Maryland Baltimore County
Belay Demoz;
University of Maryland Baltimore County
Ruben Delgado;
University of Maryland Baltimore County
TH2.R7.5:
ANALYSIS OF HYPERSPECTRAL DATA BY MEANS OF TRANSPORT MODELS AND MACHINE LEARNING
Wojciech Czaja;
Univeristy of Maryland College Park
Dong Dong;
Univeristy of Maryland College Park
Pierre-Emmanuel Jabin;
Univeristy of Maryland College Park
Franck Olivier Ndjakou Njeunje;
Univeristy of Maryland College Park
TH2.R7.6:
ROTATIONAL EQUIVARIANCE FOR OBJECT CLASSIFICATION USING XVIEW
Lucius Bynum;
Pacific Northwest National Laboratory
Timothy Doster;
Pacific Northwest National Laboratory
Tegan Emerson;
Pacific Northwest National Laboratory
Henry Kvinge;
Pacific Northwest National Laboratory
TH2.R7.7:
PHYSICALLY MEANINGFUL DICTIONARIES FOR EO CROWDSOURCING: A ML FOR BLOCKCHAIN ARCHITECTURE
Mihai Coca;
University Politehnica of Bucharest
Iulia Neagoe;
University Politehnica of Bucharest
Mihai Datcu;
German Aerospace Center (DLR)
TH2.R7.8:
QUANTUM ANNEALING APPROACH: FEATURE EXTRACTION AND SEGMENTATION OF SYNTHETIC APERTURE RADAR IMAGE
Soronzonbold Otgonbaatar;
German Aerospace Center
Mihai Datcu;
German Aerospace Center
TH2.R7.9:
QUANTUM ASSISTED IMAGE REGISTRATION
Craig Pelissier;
NASA
Troy Ames;
NASA
Jacqueline Le Moigne;
NASA
TH2.R7.10:
QUANTUM IMAGING FOR SPACE OBJECTS
Francesco V. Pepe;
Università degli Studi di Bari
Alessio Scagliola;
Università degli studi di Bari
Augusto Garuccio;
Università degli Studi di Bari
Milena D'Angelo;
Università degli studi di Bari