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eess.IV2026
Polyhedral Unmixing: Bridging Semantic Segmentation with Hyperspectral Unmixing via Polyhedral-Cone Partitioning
Antoine Bottenmuller, Etienne Decencière, Petr Dokládal
Semantic segmentation and hyperspectral unmixing are two central problems in spectral image analysis. The former assigns each pixel a discrete label corresponding to its material c…
eess.IV2025
Euclidean Distance to Convex Polyhedra and Application to Class Representation in Spectral Images
Antoine Bottenmuller, Florent Magaud, Arnaud Demortière +2
With the aim of estimating the abundance map from observations only, linear unmixing approaches are not always suitable to spectral images, especially when the number of bands is t…