Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3622
Título: Nonlinear mixture model for hyperspectral unmixing
Autor: Nascimento, José M. P.
Bioucas-Dias, José M.
Palavras-chave: Nonlinear mixture model
hyperspectral unmixing
Data: 28-Set-2009
Editora: Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa
Citação: NASCIMENTO, José M. P.; BIOUCAS-DIAS, José M. - Nonlinear mixture model for hyperspectral unmixing. Proceedings SPIE 7477, Image and Signal Processing for Remote Sensing XV. Vol 7477 (2009), p. 74770I- 74770I-8.
Resumo: This paper addresses the problem of unmixing hyperspectral images, when the light suffers multiple interactions among distinct endmembers. In these scenarios, linear unmixing has poor accuracy since the multiple light scattering effects are not accounted for by the linear mixture model. Herein, a nonlinear scenario composed by a single layer of vegetation above the soil is considered. For this class of scene, the adopted mixing model, takes into account the second-order scattering interactions. Higher order interactions are assumed negligible. A semi-supervised unmixing method is proposed and evaluated with simulated and real hyperspectral data sets.
Descrição: Proceedings of International Conference - SPIE 7477, Image and Signal Processing for Remote Sensing XV - 28 September 2009
Peer review: yes
URI: http://dx.doi.org/10.1117/12.830492
Versão do Editor: http://spie.org/Publications/Proceedings/Paper/10.1117/12.830492
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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