3 papers
cs.LG2025
Land Surface Temperature Super-Resolution with a Scale-Invariance-Free Neural Approach: Application to MODIS
Romuald Ait-Bachir, Carlos Granero-Belinchon, Aurélie Michel +3
Due to the trade-off between the temporal and spatial resolution of thermal spaceborne sensors, super-resolution methods have been developed to provide fine-scale Land SurfaceTempe…
cs.CV2023
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques
Romain Thoreau, Laurent Risser, Véronique Achard +2
Airborne hyperspectral images can be used to map the land cover in large urban areas, thanks to their very high spatial and spectral resolutions on a wide spectral domain. While th…
cs.CV2015
Hyperspectral pansharpening: a review
Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias +12
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of…