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

TH2.R7.2

COMBINING PARAMETRIC LAND SURFACE MODELS WITH MACHINE LEARNING

Craig Pelissier, NASA, United States; Jonathan Frame, Grey Nearing, University of Alabama, United States
Session:
Integrating Physical Models into Machine Learning (ML) Models
Track:
Invited Sessions
Presentation Time:
Thu, 1 Oct, 14:50-15:00 (UTC)
Thu, 1 Oct, 22:50-23:00 China Standard Time (UTC +8)
Thu, 1 Oct, 16:50-17:00 Central Europe Summer Time (UTC +2)
Thu, 1 Oct, 07:50-08:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
James Murphy, Tufts University and Jacqueline Le Moigne, NASA ESTO
Session Managers:
Neha Sharma and Elena Ionescu

Presentation

Discussion

Resources

Session

TH2.R7.1: The Role of Physical Models in the Artificial Intelligence Era
Lorenzo Bruzzone, University of Trento, Italy
TH2.R7.2: COMBINING PARAMETRIC LAND SURFACE MODELS WITH MACHINE LEARNING
Craig Pelissier, NASA, United States; Jonathan Frame, Grey Nearing, University of Alabama, United States
TH2.R7.3: DNN-BASED SEMANTIC EXTRACTION: FAST LEARNING FROM MULTISPECTRAL SIGNATURES
Iulia Calota, Daniela Faur, University Politehnica of Bucharest, Romania; Mihai Datcu, University Politehnica of Bucharest; German Aerospace Center, Romania
TH2.R7.4: A Deep Machine Learning Approach for LIDAR Based Boundary Layer Height Detection
Jennifer Sleeman, Zhifeng Yang, Vanessa Caicedo, Milton Halem, Belay Demoz, Ruben Delgado, University of Maryland Baltimore County, United States
TH2.R7.5: Analysis of hyperspectral data by means of transport models and machine learning
Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje, Univeristy of Maryland College Park, United States
TH2.R7.6: Rotational Equivariance for Object Classification Using xView
Lucius Bynum, Timothy Doster, Tegan Emerson, Henry Kvinge, Pacific Northwest National Laboratory, United States
TH2.R7.7: PHYSICALLY MEANINGFUL DICTIONARIES FOR EO CROWDSOURCING: A ML FOR BLOCKCHAIN ARCHITECTURE
Mihai Coca, Iulia Neagoe, University Politehnica of Bucharest, Romania; Mihai Datcu, German Aerospace Center (DLR), Romania
TH2.R7.8: QUANTUM ANNEALING APPROACH: FEATURE EXTRACTION AND SEGMENTATION OF SYNTHETIC APERTURE RADAR IMAGE
Soronzonbold Otgonbaatar, Mihai Datcu, German Aerospace Center, Germany
TH2.R7.9: QUANTUM ASSISTED IMAGE REGISTRATION
Craig Pelissier, Troy Ames, Jacqueline Le Moigne, NASA, United States
TH2.R7.10: Quantum imaging for space objects
Francesco V. Pepe, Università degli Studi di Bari, Italy; Alessio Scagliola, Università degli studi di Bari, Italy; Augusto Garuccio, Università degli Studi di Bari, Italy; Milena D'Angelo, Università degli studi di Bari, Italy