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)
Session:
WE3.R13: Hyperspectral Image Segmentation and Processing Oral
Track:
Theory and Techniques
Location:
Georgetown West
Presentation Time:
Wednesday, 12 August, 14:30 - 14:45
Session Co-Chairs:
Salvatore Maresca, Consiglio Nazionale delle Ricerche (CNR) and Ramesh Singh, Chapman University
Presentation
Discussion
Resources
No resources available.
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
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
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
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)
WE3.R13.5: Hyperspectral Imaging for Riverine Meso-Microplastics (MPs) Characterization
Ashwani Raju, Banaras Hindu University; Saraah Imran, Indian Institute of Technology Roorkee; Ramesh P Singh, Chapman University; Dinesh Kumar Naik, Banaras Hindu University
Resources
No resources available.