Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2654486
Abstract: In this paper, a graph-based nonlocal total variation method is proposed for unsupervised classification of hyperspectral images (HSI). The variational problem is solved by the primal-dual hybrid gradient algorithm. By squaring the labeling function and… read more here.
Keywords: algorithm; nonlocal total; classification hyperspectral; unsupervised classification ... See more keywords
Efficient L1-based nonlocal total variational model of Retinex for image restoration
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.5.051207
Abstract: Abstract. Characteristics of an image, such as smoothness, edge, and texture, can be better preserved using the nonlocal differential operator in image processing. We establish an L1-based nonlocal total variational (NLTVL1) model based on Retinex… read more here.
Keywords: image; retinex; nonlocal total; based nonlocal ... See more keywords