We propose to replace traditional spectral index methods by unsupervised spectral unmixing methods for the exploration of large datasets of planetary hyperspectral images. The main goal of this article is to test the ability of these analysis techniques ...

Due to the ever-growing diversity of the data source, multimodality feature learning has attracted more and more attention. However, most of these methods are designed by jointly learning feature representation from multimodalities that exist in both ...

Managing transmission and storage of hyperspectral (HS) images can be extremely difficult. Thus, the dimensionality reduction of HS data becomes necessary. Among several dimensionality reduction techniques, transform-based have found to be effective ...