XIANLU LI

JOINT SUPERPIXEL AND SELF-REPRESENTATION LEARNING FOR SCALABLE HYPERSPECTRAL IMAGE CLUSTERING

Subspace clustering is a powerful unsupervised approach for hyperspectral image (HSI) analysis, but its high computational and memory costs limit scalability. Superpixel segmentation can improve efficiency by reducing the number of data points to process. However, existing superpixel-based methods u…