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Remotely Sensed Image Classification by Complex Network Eigenvalue and Connected Degree

It is a well-known problem of remotely sensed images classification due to its complexity. This paper proposes a remotely sensed image classification method based on weighted complex network clustering using the traditional K-means clustering algorithm. First, the degree of complex network and clust...

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Detalles Bibliográficos
Autores principales: Xu, Mengxi, Wei, Chenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3254171/
https://www.ncbi.nlm.nih.gov/pubmed/22242041
http://dx.doi.org/10.1155/2012/632703