N
Nicolas Dobigeon
Researcher at University of Toulouse
Publications - 267
Citations - 13074
Nicolas Dobigeon is an academic researcher from University of Toulouse. The author has contributed to research in topics: Hyperspectral imaging & Gibbs sampling. The author has an hindex of 45, co-authored 253 publications receiving 11241 citations. Previous affiliations of Nicolas Dobigeon include University of Michigan & Institut Universitaire de France.
Papers
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Jose M. Bioucas-Dias,Antonio Plaza,Nicolas Dobigeon,Mario Parente,Qian Du,Paul D. Gader,Jocelyn Chanussot +6 more
TL;DR: This paper presents an overview of un Mixing methods from the time of Keshava and Mustard's unmixing tutorial to the present, including Signal-subspace, geometrical, statistical, sparsity-based, and spatial-contextual unmixed algorithms.
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Jose M. Bioucas-Dias,Antonio Plaza,Nicolas Dobigeon,Mario Parente,Qian Du,Paul D. Gader,Jocelyn Chanussot +6 more
TL;DR: An overview of unmixing methods from the time of Keshava and Mustard's tutorial as mentioned in this paper to the present can be found in Section 2.2.1].
Journal ArticleDOI
Hyperspectral Pansharpening: A Review
Laetitia Loncan,Luís B. Almeida,Jose M. Bioucas-Dias,Xavier Briottet,Jocelyn Chanussot,Nicolas Dobigeon,Sophie Fabre,Wenzhi Liao,Giorgio Licciardi,Miguel Simoes,Jean-Yves Tourneret,Miguel Angel Veganzones,Gemine Vivone,Qi Wei,Naoto Yokoya +14 more
TL;DR: In this article, the state-of-the-art multispectral pansharpening techniques for hyperspectral data were compared with some of the state of the art methods for multi-spectral panchambering.
Journal ArticleDOI
Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
TL;DR: In this paper, a variational-based approach for fusing hyperspectral and multispectral images is proposed, which is formulated as an inverse problem whose solution is the target image assumed to live in a lower dimensional subspace.
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Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
TL;DR: This paper presents a variational-based approach for fusing hyperspectral and multispectral images and demonstrates the efficiency of the proposed algorithm when compared with state-of-the-art fusion methods.