TH3.R11.3

HYPERHEIGHT LIDAR COMPRESSIVE SAMPLING AND MACHINE LEARNING RECONSTRUCTION OF FORESTED LANDSCAPES

Andres Ramirez-Jaime, Karelia Pena-Pena, Gonzalo Arce, University of Delaware, United States; David Harding, Mark Stephen, James MacKinnon, NASA, United States
Session:
TH3.R11: Data Management Systems and Computing Platforms in Remote Sensing I Oral
Track:
AI and Big Data
Location:
Room 106
Presentation Time:
Thu, 20 Jul, 13:24 - 13:36 Pacific Time (UTC -7)
Session Chair:
Gabriele Cavallaro, Forschungszentrum Jülich
Session Manager:
Shankho Subhra Pal
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Session TH3.R11
TH3.R11.1: LEARNING ACROSS DECENTRALIZED MULTI-MODAL REMOTE SENSING ARCHIVES WITH FEDERATED LEARNING
Barış Büyüktaş, Gencer Sumbul, Begüm Demir, Technische Universität Berlin, Germany
TH3.R11.2: BENCHMARKING SPACE-BASED DATA CENTER ARCHITECTURES
Michał Gumiela, Alicja Musial, Agata M. Wijata, Dawid Lazaj, KP Labs, Poland; Jonas Weiss, Patricia Sagmeister, Thomas Morf, Martin Schmatz, IBM Research Europe, Switzerland; Jakub Nalepa, KP Labs, Poland
TH3.R11.3: HYPERHEIGHT LIDAR COMPRESSIVE SAMPLING AND MACHINE LEARNING RECONSTRUCTION OF FORESTED LANDSCAPES
Andres Ramirez-Jaime, Karelia Pena-Pena, Gonzalo Arce, University of Delaware, United States; David Harding, Mark Stephen, James MacKinnon, NASA, United States
TH3.R11.4: A CANDIDATE DGGS (DISCRETE GLOBAL GRID SYSTEM) FOR SENTINEL-2: FIRST OUTCOMES
Germain SALGUES, CS GROUP, France; Enrico CADAU, Serco Italia SpA, Italy; Laetitia PESSIOT, Vincent GAUDISSART, Silvia ENACHE, CS GROUP, France; Ferran GASCON, Valentina BOCCIA, European Space Agency (ESA), European Space Research Institute (ESRIN), Italy; Peter STROBL, JRC, ISPRA, Italy
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