TU2.R2.4

A BAYESIAN APPROACH WITH ENHANCED INTERPRETABILITY AND UNCERTAINTY PROPAGATION FOR PLANT TRAIT ESTIMATION USING IMAGING SPECTROSCOPY

Dhruva Kathuria, Morgan State University/NASA Goddard Space Flight Center, United States; Yoseline Angel, University of Maryland- College Park/NASA Goddard Space Flight Center, United States; Evan Lang, Science Systems and Applications, Inc./NASA Goddard Space Flight Center, United States; Alexey Shiklomanov, NASA Goddard Space Flight Center, United States
Session:
TU2.R2: Hyperspectral Data Processing and Analysis: Classification Regression Compression Oral
Track:
Data Analysis
Location:
Mitropoulos
Presentation Time:
Tue, 9 Jul, 12:22 - 12:36
Session Chair:
Roozbeh Rajabi, University of Genoa
Presentation
Discussion
Resources
No resources available.
Session TU2.R2
TU2.R2.1: FINE-SCALE CLASSIFICATION OF WETLAND IN THE YELLOW RIVER ESTUARY BASED ON UAV HYPERSPECTRAL DATA
Huayu Li, Jie Zhang, China University of Petroleum (East China), China; Guangbo Ren, The First Institute of Oceanography, MNR, China; Fangming Guo, China University of Petroleum (East China), China; Jianbu Wang, The First Institute of Oceanography, MNR, China
TU2.R2.2: ADAPTING URBISPHERE'S HYPERSPECTRAL LIBRARY FOR SENTINEL-2 DATA: AN APPLICATION TO HERAKLION'S URBAN LANDSCAPE
Giannis Lantzanakis, Dimitris Tsirantonakis, Natalia Pynirtzi, Dimitris Poursanidis, Zina Mitraka, Remote Sensing Lab, Institute of Applied and Computational Mathematics, Foundation for Research and Technology Hellas, Heraklion, Greece, Greece; Andreas Christen, Albert-Ludwigs-Universität Freiburg - Germany, Environmental Meteorology, Greece; Sue Grimmond, University of Reading - UK, Urban Micromet, Greece; Joern Birkmann, University of Stuttgart - Germany, Institute of Spatial and Regional Planning, Greece; Nektarios Chrysoulakis, Remote Sensing Lab, Institute of Applied and Computational Mathematics, Foundation for Research and Technology Hellas, Heraklion, Greece, Greece
TU2.R2.3: A Deep Learning-based Multitasking Model for Hyperspectral Image Analysis using novel TAIGA dataset
Koushikey Chhapariya, IIT Bombay, India; Alexandre Benoit, Université Savoie Mont-Blanc, France; Krishna Mohan Buddhiraju, IIT Bombay, India; Anil Kumar, IIRS, ISRO, India
TU2.R2.4: A BAYESIAN APPROACH WITH ENHANCED INTERPRETABILITY AND UNCERTAINTY PROPAGATION FOR PLANT TRAIT ESTIMATION USING IMAGING SPECTROSCOPY
Dhruva Kathuria, Morgan State University/NASA Goddard Space Flight Center, United States; Yoseline Angel, University of Maryland- College Park/NASA Goddard Space Flight Center, United States; Evan Lang, Science Systems and Applications, Inc./NASA Goddard Space Flight Center, United States; Alexey Shiklomanov, NASA Goddard Space Flight Center, United States
TU2.R2.5: A SPECTRALLY REGULATED CONVOLUTION-BASED NETWORK FOR CROP-MAPPING WITH HYPERSPECTRAL IMAGES
Abhishek Singh, Giulio Weikmann, Lorenzo Bruzzone, University of Trento, Italy
TU2.R2.6: CONTRIBUTION OF SOLAR-INDUCED-FLUORESCENCE FOR NEEDLE NITROGEN AND PHOSPHORUS PREDICTION WITH AIRBORNE HYPERSPECTRAL IMAGERY
Peiye Li, Tomas Poblete, Jagannath Aryal, University of Melbourne, Australia; Alberto Hornero, Consejo Superior de Investigaciones Científicas (CSIC), Spain; Pablo J. Zarco-Tejada, University of Melbourne, Australia
TU2.R2.7: HYBRID RECURRENT-ATTENTIVE NEURAL NETWORK FOR ONBOARD PREDICTIVE HYPERSPECTRAL IMAGE COMPRESSION
Diego Valsesia, Tiziano Bianchi, Enrico Magli, Politecnico di Torino, Italy
Resources
No resources available.