Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3656
Título: Vertex component analysis: a fast algorithm to unmix hyperspectral data
Autor: Nascimento, José M. P.
Bioucas-Dias, José M.
Palavras-chave: Linear unmixing
Simplex
Spectral mixture model
Unmixing hypespectral data
Unsupervised endmember extraction
Vertex component analysis (VCA)
Data: Abr-2005
Editora: IEEE
Citação: NASCIMENTO, José M. P.; BIOUCAS-DIAS, José M. - Vertex component analysis: a fast algorithm to unmix hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing. ISSN 0196-2892. Vol. 43, nr. 4 (2005), p. 898-910.
Resumo: Given a set of mixed spectral (multispectral or hyperspectral) vectors, linear spectral mixture analysis, or linear unmixing, aims at estimating the number of reference substances, also called endmembers, their spectral signatures, and their abundance fractions. This paper presents a new method for unsupervised endmember extraction from hyperspectral data, termed vertex component analysis (VCA). The algorithm exploits two facts: (1) the endmembers are the vertices of a simplex and (2) the affine transformation of a simplex is also a simplex. In a series of experiments using simulated and real data, the VCA algorithm competes with state-of-the-art methods, with a computational complexity between one and two orders of magnitude lower than the best available method.
Peer review: yes
URI: http://hdl.handle.net/10400.21/3656
ISSN: 0196-2892
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1411995&tag=1
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Artigos

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Vertex component analysis.pdf885,26 kBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.