Enhancing hyperspectral image prediction with contrastive learning in low-label regimes
Source
Applied intelligence - ISSN 0924-669X-56:3 (2026) p. 1-30
Hyperspectral image analysis : unveiling new perspectives in representation learning techniques
Source
Antwerp, University of Antwerp, Faculty of Science, 2026,x, 186 p.
A contrastive learning method for multi-label predictors on hyperspectral images
Source
2023 13th Workshop on Hyperspectral Imaging and Signal Processing : Evolution in Remote Sensing (WHISPERS), 31 October 2023 - 02 November, 2023, Athens, Greece- () p. 1-5
Training methods of multi-label prediction classifiers for hyperspectral remote sensing images
Source
Remote sensing - ISSN 2072-4292-15:24 (2023) p. 1-30