WE3.R13.1
Active Wildfire Labeling of Hyperspectral Imagery via U-Net Transfer Learning: Test Case on PRISMA
Andrea Carbone, Giovanni Laneve, Sapienza University of Rome, Italy
Session:
WE3.R13: Hyperspectral Image Segmentation and Processing Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Wed, 12 Aug, 13:45 - 14:00
Presentation
Discussion
Resources
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Session WE3.R13
WE3.R13.1: Active Wildfire Labeling of Hyperspectral Imagery via U-Net Transfer Learning: Test Case on PRISMA
Andrea Carbone, Giovanni Laneve, Sapienza University of Rome, Italy
WE3.R13.2: MULTI-SCALE WAVELET CROSS-ATTENTION NETWORK FOR HYPERSPECTRAL WATER QUALITY PARAMETERS ESTIMATION
Zijun Lv, Ruyan He, Yumiao Yang, Siqi Wei, Xiyou Fu, Meng Xu, Sen Jia, Shenzhen University, China
WE3.R13.3: METHANE-PLUME SEGMENTATION FROM HYPERSPECTRAL SATELLITE IMAGERY VIA MULTIMODAL DEEP LEARNING
Brayan Quintero, Jeferson Acevedo, Samuel Traslaviña, Hoover Rueda-Chacón, Universidad Industrial de Santander, Colombia
WE3.R13.4: STATISTICAL ANALYSIS OF HYPERSPECTRAL SEA-BACKGROUND DATA IN PRISMA IMAGES
Salvatore Maresca, Stefania Matteoli, National Research Council (CNR), Institute of Electronics, Information Engineering and Telecommunications (IEIIT), Italy
WE3.R13.5: Hyperspectral Imaging for Riverine Meso-Microplastics (MPs) Characterization
Ashwani Raju, Banaras Hindu University, India; Saraah Imran, Indian Institute of Technology Roorkee, India; Ramesh P Singh, Chapman University, United States; Dinesh Kumar Naik, Banaras Hindu University, India
Contacts