2 papers
eess.IV2025
SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
Daniel La'ah Ayuba, Jean-Yves Guillemaut, Belen Marti-Cardona +1
Self-supervised learning has revolutionized representation learning in vision and language, but remains underexplored for hyperspectral imagery (HSI), where the sequential structur…
eess.IV2023
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis
Daniel L Ayuba, Belen Marti-Cardona, Jean-Yves Guillemaut +1
The exceptional spectral resolution of hyperspectral imagery enables material insights that are not possible with RGB or multispectral images. Yet, the full potential of this data…