2 papers
cs.CV2016
Scalable low dimensional manifold model in the reconstruction of noisy and incomplete hyperspectral images
Wei Zhu, Zuoqiang Shi, Stanley Osher
We present a scalable low dimensional manifold model for the reconstruction of noisy and incomplete hyperspectral images. The model is based on the observation that the spatial-spe…
cs.CV2016
Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
Wei Zhu, Victoria Chayes, Alexandre Tiard +6
In this paper, a graph-based nonlocal total variation method (NLTV) is proposed for unsupervised classification of hyperspectral images (HSI). The variational problem is solved by…