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KMNET for Hyperspectral Unmixing

2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2023
Sankalp Dhondi   +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
Xb Gao, Xinbo Gao
exaly  

Unbiased Validation of Hyperspectral Unmixing Algorithms

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Lukasz Tulczyjew   +4 more
openaire   +1 more source

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing

Remote Sensing, 2021
Michał Myller   +2 more
exaly  

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2012
J Bioucas-Dias   +2 more
exaly  

ℓ0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation

ISPRS Journal of Photogrammetry and Remote Sensing, 2018
Xia Xu, Zhenwei Shi, Bin Pan
exaly  

Sparse Unmixing of Hyperspectral Data Using Spectral <italic>A Priori</italic> Information

IEEE Transactions on Geoscience and Remote Sensing, 2015
, Zhenwei Shi, Changshui Zhang
exaly  

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

Angewandte Chemie - International Edition, 2018
Emeline Pouyet   +2 more
exaly  

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