2 papers
cs.LG2025
IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources
Paul Tresson, Pierre Le Coz, Hadrien Tulet +2
Remote sensing has entered a new era with the rapid development of artificial intelligence approaches. However, the implementation of deep learning has largely remained restricted…
cs.CV2025
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…