WE4.R13.4

ADVANCING AIRBORNE HYPERSPECTRAL DATA PROCESSING AND APPLICATIONS FOR SUSTAINABLE AGRICULTURE USING RTM-BASED MACHINE LEARNING

Qu Zhou, Sheng Wang, Kaiyu Guan, University of Illinois at Urbana-Champaign, United States
Session:
WE4.R13: Recent Advances in Hyperspectral Image Processing: Methodology and Application II Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Wed, 19 Jul, 16:21 - 16:33 Pacific Time (UTC -7)
Session Chair:
David R. Thompson, Jet Propulsion Laboratory, California Institute of Technology
Session Manager:
Abhishek Singh
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Session WE4.R13
WE4.R13.1: EXPLOITATION OF PRISMA SPACEBORNE HYPERSPECTRAL OBSERVATIONS FOR IMPROVED FUNCTIONAL TRAIT RETRIEVALS IN MID-LATITUDE FOREST ECOSYSTEMS
Giulia Tagliabue, Cinzia Panigada, Beatrice Savinelli, Luigi Vignali, Luca Gallia, Rodolfo Gentili, University of Milano - Bicocca, Italy; Valentina Picchi, Antonella Calzone, Research Centre for Engineering and Agro-Food Processing, Italy; Roberto Colombo, Micol Rossini, University of Milano - Bicocca, Italy
WE4.R13.2: DYNAMIC JOINT CORRELATION ALIGNMENT NETWORK FOR CROSS-SCENE HYPERSPECTRAL IMAGE CLASSIFICATION
chong li, weiwei sun, Ningbo University, China; jiangtao peng, Hubei University, China
WE4.R13.3: GATED-CROSS AGGREGATION NETWORK FOR HYPERSPECTRAL AND LIDAR DATA CLASSIFICATION
Xiaochen Shi, Junyan Lin, Yuan Rao, Yue Sun, Feng Gao, Ocean University of China, China
WE4.R13.4: ADVANCING AIRBORNE HYPERSPECTRAL DATA PROCESSING AND APPLICATIONS FOR SUSTAINABLE AGRICULTURE USING RTM-BASED MACHINE LEARNING
Qu Zhou, Sheng Wang, Kaiyu Guan, University of Illinois at Urbana-Champaign, United States
Resources
No resources available.