2 papers
cs.AI2025
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
Salma Haidar, José Oramas
Hyperspectral imaging (HSI) provides rich spectral information for precise material classification and analysis; however, its high dimensionality introduces a computational burden…
cs.CV2024
Enhancing Hyperspectral Image Prediction with Contrastive Learning in Low-Label Regime
Salma Haidar, José Oramas
Self-supervised contrastive learning is an effective approach for addressing the challenge of limited labelled data. This study builds upon the previously established two-stage pat…