Results 201 to 210 of about 3,939 (225)

Sparse and low rank hyperspectral unmixing

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
In this paper, hyperspectral data is modeled as a combination of a sparse component, a low rank component and noise. The low rank component is a product of the endmembers and the abundances in an image, and the sparse component is composed of outliers and structured noise. Outliers and structured noise in this context are, e.g.
Jakob Sigurdsson, Magnus O. Ulfarsson, Johannes R. Sveinsson   +2 more
openaire   +1 more source

KMNET for Hyperspectral Unmixing

2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2023
Sankalp Dhondi, T. Hitendra Sarma, Abignya Reddy, S. Sree Lakshmi, K. Ram Mohan Rao   +4 more
openaire   +1 more source

Hyperspectral Unmixing with Simultaneous Dimensionality Estimation.

2012
This paper is an elaboration of the simplex identification via split augmented Lagrangian (SISAL) algorithm (Bioucas-Dias, 2009) to blindly unmix hyperspectral data. SISAL is a linear hyperspectral unmixing method of the minimum volume class. This method solve a non-convex problem by a sequence of augmented Lagrangian optimizations, where the ...
Nascimento, Jose, Bioucas-Dias, José M.
openaire   +1 more source

Spectral–Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, 2020
Lin Qi, Xinbo Gao, Xinbo Gao
exaly  

Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2021
Deren Li, Ruyi Feng, Xinyu Wang
exaly  

Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization

Knowledge-Based Systems, 2021
Jin-Ju Wang, Ding-Cheng Wang, Ting-Zhu Huang   +2 more
exaly  

Endmember Variability in hyperspectral image unmixing

Variabilité spectrale dans le démélange d'images hyperspectrales La finesse de la résolution spectrale des images hyperspectrales en télédétection permet une analyse précise de la scène observée, mais leur résolution spatiale est limitée, et un pixel acquis par le capteur est souvent un mélange des contributions de différents matériaux.
openaire   +1 more source

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2012
Marian-Daniel Iordache, JOSÉ M Bioucas-Dias, Antonio Plaza   +2 more
exaly  

Manifold Regularized Sparse NMF for Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2013
Xiaoqiang Lu, Yuan Yuan, Pingkun Yan
exaly  

Nonlinear Unmixing of Hyperspectral Datasets for the Study of Painted Works of Art

Angewandte Chemie - International Edition, 2018
Neda Rohani, Emeline Pouyet, Marc Walton   +2 more
exaly