1.7k citations · 10.4k across the 63 of their papers we have counts for
5 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…
Pansharpening via Detail Injection Based Convolutional Neural Networks
Lin He, Yizhou Rao, Jun Li +2
Pansharpening aims to fuse a multispectral (MS) image with an associated panchromatic (PAN) image, producing a composite image with the spectral resolution of the former and the sp…
Hyperspectral Image Unmixing with Endmember Bundles and Group Sparsity Inducing Mixed Norms
Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot +2
Hyperspectral images provide much more information than conventional imaging techniques, allowing a precise identification of the materials in the observed scene, but because of th…
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot +2
Semantic segmentation requires methods capable of learning high-level features while dealing with large volume of data. Towards such goal, Convolutional Networks can learn specific…