Graph-Induced Aligned Learning on Subspaces for Hyperspectral and Multispectral Data

In this article, we have great interest in investigating a common but practical issue in remote sensing (RS)—can a limited amount of one information-rich (or high-quality) data, e.g., hyperspectral (HS) image, improve the performance of a classification task using a large amount of another information-poor (low-quality) data, e.g., multispectral (MS) image? This question leads to a typical cross-m...