1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Latent Representation Learning Framework for Hyperspectral Image Emulation in Remote Sensing
Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1
Synthetic hyperspectral image (HSI) generation is essential for large-scale simulation, algorithm development, and mission design, yet traditional radiative transfer models remain…
SVH-BD : Synthetic Vegetation Hyperspectral Benchmark Dataset for Emulation of Remote Sensing Images
Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1
This dataset provides a large collection of 10,915 synthetic hyperspectral image cubes paired with pixel-level vegetation trait maps, designed to support research in radiative tran…
Fusion of JWST data: Demonstrating practical feasibility
Landry Marquis, Claire Guilloteau, Thomas Oberlin +2
Data fusion is a computational process widely used in Earth observation to generate high-resolution hyperspectral data cubes with two spatial and one spectral dimensions. It merges…