17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

MO4.O2.4

A PHYSICS-BASED ML APPROACH FOR CORN PLANT HEIGHT ESTIMATION WITH SIMULATED SAR DATA

Lorenzo Giuliano Papale, Fabio Del Frate, Leila Guerriero, Giovanni Schiavon, Tor Vergata University of Rome, Italy
Session:
Quantum computing and ML in GRSS Oral In-Person
Track:
Invited Sessions
Location:
Conference Hall 2
Presentation Time:
Mon, 18 Jul, 17:00 - 17:15 Malaysia Time (UTC +8)
Mon, 18 Jul, 11:00 - 11:15 Central European Time (UTC +2)
Mon, 18 Jul, 09:00 - 09:15 UTC
Mon, 18 Jul, 05:00 - 05:15 Eastern Time (UTC -4)
Session Co-Chairs:
Gabriele Cavallaro, Forschungszentrum Jülich and Mihai Datcu, German Aerospace Center (DLR)
Session Manager:
Nik Zainun Nik Mood
Presentation
Discussion
Resources
No resources available.
Session MO4.O2
MO4.O2.1: HYBRID QUANTUM-CLASSICAL WORKFLOWS IN MODULAR SUPERCOMPUTING ARCHITECTURES WITH THE JÜLICH UNIFIED INFRASTRUCTURE FOR QUANTUM COMPUTING
Gabriele Cavallaro, Thomas Lippert, Kristel Michielsen, Forschungszentrum Jülich, Germany; Morris Riedel, University of Iceland, Iceland
MO4.O2.2: HOW QUANTUM COMPUTING-FRIENDLY MULTISPECTRAL DATA CAN BE?
Manish Kumar Gupta, Piotr Gawron, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Poland; Martin Beseda, Technical University of Ostrava, Czechia
MO4.O2.3: Quantum Computing for Earth Observation Scientists – Introducing some key concepts
Tobias Guggemos, Andreas Spoerl, German Aearospace Center (DLR), Germany
MO4.O2.4: A PHYSICS-BASED ML APPROACH FOR CORN PLANT HEIGHT ESTIMATION WITH SIMULATED SAR DATA
Lorenzo Giuliano Papale, Fabio Del Frate, Leila Guerriero, Giovanni Schiavon, Tor Vergata University of Rome, Italy
MO4.O2.5: RETRIEVAL OF RAINFALL INFORMATION BY SPACEBORNE C-BAND SAR BASED ON MACHINE LEARNING
Shanshan Mu, Xiaofeng Li, Institute of Oceanology, Chinese Academy of Sciences, China