Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery

Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery

Hyperspectral images (HSI) possess abundant spectral bands and rich spatial information, which can be utilized to discriminate different types of land cover. However, the high dimensional characteristics of spatial-spectral information commonly cause the Hughes phenomena. Traditional feature learnin...

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Bibliographic Details
Main Authors: Guangyao Shi, Hong Huang, Jiamin Liu, Zhengying Li, Lihua Wang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
hyperspectral image
dimensionality reduction
spatial-spectral information
multi-manifold structure
discriminative features
Online Access:https://www.mdpi.com/2072-4292/11/20/2414

Internet

https://www.mdpi.com/2072-4292/11/20/2414

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