WE2.R2.5

DEEP LEARNING FOR FOREST CANOPY HEIGHT ESTIMATION FROM SAR

Ragini Mahesh, Ronny Hänsch, German Aerospace Center, Germany
Session:
WE2.R2: Inversion Techniques Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Wed, 19 Jul, 11:03 - 11:15 Pacific Time (UTC -8)
Session Co-Chairs:
John Kerekes, Rochester Institute of Technology and Nazzareno Pierdicca, Sapienza University of Rome
Session Manager:
Rahisha Thottolil
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Session WE2.R2
WE2.R2.1: EFFECT OF TEMPERATURE ON SOIL DIELECTRIC PERMITTIVITY
Ming Li, Roger Lang, The George Washington University, United States
WE2.R2.2: RECONSTRUCTION OF ICE SHEET TEMPERATURE MAPS USING A SPARSITY-BASED IMAGE DECONVOLUTION METHOD
Igor Yanovsky, Alan Tanner, Alex Akins, Jet Propulsion Laboratory, United States
WE2.R2.3: SIMPLIFIED SCHEME TO SEPARATELY RETRIEVE PERMITTIVITIES OF SURFACES OF A DIHEDRAL STRUCTURE USING RADAR POLARIMETRY
Steve Tyler, Xavier Dupuis, Office National d'Etudes et de Recherches Aérospatiales, France; Régis Guinvarc'h, Laetitia Thirion-Lefevre, CentraleSupélec - Université Paris-Saclay, France
WE2.R2.4: INVERSE SAR PROCESSING FOR MARITIME AWARENESS
Massimo Zavagli, B-Open Solutions, Italy; Debora Pastina, Alejandro Testa, Fabrizio Santi, University of Rome “La Sapienza”, Italy; Elena Morando, Technische Universität Berlin, Italy; Chiara Pratola, e-GEOS, Italy; Michela Corvino, European Space Agency-ESRIN, Italy; Mario Costantini, B-Open Solutions, Italy
WE2.R2.5: DEEP LEARNING FOR FOREST CANOPY HEIGHT ESTIMATION FROM SAR
Ragini Mahesh, Ronny Hänsch, German Aerospace Center, Germany
Resources
No resources available.