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Incremental Graph Embedding Based on Spatial-Spectral Neighbors for Hyperspectral Image Classification

Recently, graph embedding-based methods have been developed in dimensionality reduction (DR) and classification of hyperspectral image (HSI). The key step for graph embedding methods is the construction of graph. The commonly used method is to manually choose nearest neighbors and then, compute edge...

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Detalles Bibliográficos
Autores principales: Dongqing Li, Yuhu Cheng, Xuesong Wang, Qiang Yu
Formato: Artigo
Lenguaje:Inglês
Publicado: IEEE 2018-01-01
Colección:IEEE Access
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Acceso en línea:https://ieeexplore.ieee.org/document/8305465/
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