3 papers
cs.CV2026
Minerals in the Wild: A Hyperspectral-XRF Dataset for Elemental Composition Estimation
Eleftheria Tetoula-Tsonga, George Arvanitakis, Theodoros Giannakas
Rapid mineral characterization is essential for applications ranging from mineral exploration to industrial ore processing. To this end, Hyperspectral Imaging (HSI) has emerged as…
cs.CV2026
Gold Exploration using Representations from a Multispectral Autoencoder
Argyro Tsandalidou, Konstantinos Dogeas, Eleftheria Tetoula Tsonga +3
Satellite imagery is employed for large-scale prospectivity mapping due to the high cost and typically limited availability of on-site mineral exploration data. In this work, we pr…
eess.IV2024
A Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging
Savvas Sifnaios, George Arvanitakis, Fotios K. Konstantinidis +3
Recent advancements in computer vision, particularly in detection, segmentation, and classification, have significantly impacted various domains. However, these advancements are ti…