Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection

摘要

For applications based on hyperspectral imagery (HSI), selecting informative and representative bands without the degradation of performance is a challenging task in the context of big data. In this paper, an unsupervised band selection method, scalable o