Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/5085
Título: Hyperspectral unmixing based on mixtures of Dirichlet components
Autor: Nascimento, José M. P.
Bioucas-Dias, José. M.
Palavras-chave: Augmented Lagrangian Method of Multipliers
Blind Hyperspectral Unmixing
Dependent Components
Generalized Expectation Maximization (GEM)
Minimum Desciption Length (MDL)
Mixtures of Dirichlet Densities
Nonnegative Matrix Factorization
Endmember Extraction
Constrained Optimization
Algorithm
Imagery
Model
Recovery
Data: Mar-2012
Editora: IEEE - Inst Electrical Electronics Engineers Inc
Citação: NASCIMENTO, José M. P.; DIAS-Bioucas, José M. – Hyperspectral unmixing based on mixtures of Dirichlet components. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892. Vol. 50, nr. 3 (2012), pp. 863-878
Relatório da Série N.º: 3
Resumo: This paper introduces a new unsupervised hyperspectral unmixing method conceived to linear but highly mixed hyperspectral data sets, in which the simplex of minimum volume, usually estimated by the purely geometrically based algorithms, is far way from the true simplex associated with the endmembers. The proposed method, an extension of our previous studies, resorts to the statistical framework. The abundance fraction prior is a mixture of Dirichlet densities, thus automatically enforcing the constraints on the abundance fractions imposed by the acquisition process, namely, nonnegativity and sum-to-one. A cyclic minimization algorithm is developed where the following are observed: 1) The number of Dirichlet modes is inferred based on the minimum description length principle; 2) a generalized expectation maximization algorithm is derived to infer the model parameters; and 3) a sequence of augmented Lagrangian-based optimizations is used to compute the signatures of the endmembers. Experiments on simulated and real data are presented to show the effectiveness of the proposed algorithm in unmixing problems beyond the reach of the geometrically based state-of-the-art competitors.
Peer review: yes
URI: http://hdl.handle.net/10400.21/5085
DOI: 10.1109/TGRS.2011.2163941
ISSN: 0196-2892
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Artigos



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