2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 2 cited
Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning
Colin Prieur, Nassim Ait Ali Braham, Paul Tresson +2
Airborne hyperspectral imaging is a promising method for identifying tropical species, but spectral variability between acquisitions hinders consistent results. This paper proposes…
cs.CV2023
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
Shivam Pande, Nassim Ait Ali Braham, Yi Wang +3
Hyperspectral image (HSI) classification is gaining a lot of momentum in present time because of high inherent spectral information within the images. However, these images suffer…