Regularized Sparse Band Selection via Learned Pairwise Agreement

Regularized Sparse Band Selection via Learned Pairwise Agreement

Desired by sparse subset learning, in this paper, a hyperspectral band selection method via pairwise band agreement with spatial-spectral graph regularier, referred as Regularized Band Selection via Learned Pairwise Agreement (RBS-LPA), was proposed. The process was formulated as a graph-regularized...

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Bibliografiska uppgifter
Huvudupphovsmän: Zhixi Feng, Shuyuan Yang, Xiaolong Wei, Quanwei Gao, Licheng Jiao
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2020-01-01
Serie:IEEE Access
Ämnen:
Feature selection
self-representative learning
sparse optimization
graph regularizer
Länkar:https://ieeexplore.ieee.org/document/8981990/

Internet

https://ieeexplore.ieee.org/document/8981990/

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