Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image

Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image

Band selection is an effective way to deal with the problem of the Hughes phenomenon and high computation complexity in hyperspectral image (HSI) processing. Based on the hypothesis that all the pixels are sampled from the union of subspaces, many robust band selection algorithms based on subspace c...

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Bibliographic Details
Main Authors: Meng Zeng, Bin Ning, Chunyang Hu, Qiong Gu, Yaoming Cai, Shuijia Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Band selection
hyper-graph
kernel subspace clustering
hyperspectral image
Online Access:https://ieeexplore.ieee.org/document/9144590/

Internet

https://ieeexplore.ieee.org/document/9144590/

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