Xianlu Li presented our paper “Joint Superpixel and Self-Representation Learning for Scalable Hyperspectral Image Clustering” (link: https://ieeexplore.ieee.org/document/11464647/) at IEEE ICASSP 2026, the flagship conference of the IEEE Signal Processing Society.
The work addresses scalable clustering of hyperspectral images by combining superpixel-based representations with self-representation learning. Authors: Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pižurica.
