1.7k citations · 11.2k across the 45 of their papers we have counts for
3 papers · 1 filter
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot +1
With a large amount of open satellite multispectral imagery (e.g., Sentinel-2 and Landsat-8), considerable attention has been paid to global multispectral land cover classification…
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot +1
Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to accurately estimate ab…
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
Danfeng Hong, Naoto Yokoya, Jian Xu +1
Despite the fact that nonlinear subspace learning techniques (e.g. manifold learning) have successfully applied to data representation, there is still room for improvement in expla…