most citedProspects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning

2 citations · 4 across the 2 of their papers we have counts for

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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.CV2022★ 2 cited

Tree species classification from hyperspectral data using graph-regularized neural networks

Debmita Bandyopadhyay, Subhadip Mukherjee, James Ball +3

We propose a novel graph-regularized neural network (GRNN) algorithm for tree species classification. The proposed algorithm encompasses superpixel-based segmentation for graph con…