FR2.R2.5

AN UNSUPERVISED CNN-BASED HYPERSPECTRAL PANSHARPENING METHOD

Giuseppe Guarino, Matteo Ciotola, Università degli Studi di Napoli Federico II, Italy; Gemine Vivone, National Research Council, Italy; Giovanni Poggi, Università degli Studi di Napoli Federico II, Italy; Giuseppe Scarpa, Università degli Studi di Napoli Parthenope, Italy
Session:
FR2.R2: Hyperspectral Image Classification Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Fri, 21 Jul, 11:03 - 11:15 Pacific Time (UTC -8)
Session Co-Chairs:
Xinwei Chen, Waterloo and Wei Liu, Purdue University
Session Manager:
Abhishek Singh
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Session FR2.R2
FR2.R2.1: LGFORMER: LOCAL-TO-GLOBAL TRANSFORMER FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Jiaqi Yang, Bo Du, Chen Wu, Wuhan University, China
FR2.R2.2: Light-weighted Explainable Dual Transformer Network for Hyperspectral Image Classification
Linlin Xu, Yuan Fang, Xinwei Chen, David Clausi, University of Waterloo, Canada
FR2.R2.3: CNN-MIXER HIERARCHICAL SPECTRAL TRANSFORMER FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Wei Liu, Purdue University, United States; Saurabh Prasad, University of Houston, United States; Melba Crawford, Purdue University, United States
FR2.R2.4: INTERPRETING HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION METHODS VIA EXPLAINABLE ARTIFICIAL INTELLIGENCE
Deren Ege Turan, Sabancı University, Turkey; Erchan Aptoula, Sabanci University, Turkey; Alp Ertürk, Kocaeli University, Turkey; Gulsen Taskin, Istanbul Technical University, Turkey
FR2.R2.5: AN UNSUPERVISED CNN-BASED HYPERSPECTRAL PANSHARPENING METHOD
Giuseppe Guarino, Matteo Ciotola, Università degli Studi di Napoli Federico II, Italy; Gemine Vivone, National Research Council, Italy; Giovanni Poggi, Università degli Studi di Napoli Federico II, Italy; Giuseppe Scarpa, Università degli Studi di Napoli Parthenope, Italy
Resources
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