Spectral-Locational-Spatial Manifold Learning for Hyperspectral Images Dimensionality Reduction

Spectral-Locational-Spatial Manifold Learning for Hyperspectral Images Dimensionality Reduction

Dimensionality reduction (DR) plays an important role in hyperspectral image (HSI) classification. Unsupervised DR (uDR) is more practical due to the difficulty of obtaining class labels and their scarcity for HSIs. However, many existing uDR algorithms lack the comprehensive exploration of spectral...

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Bibliographic Details
Main Authors: Na Li, Deyun Zhou, Jiao Shi, Tao Wu, Maoguo Gong
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
dimensionality reduction
hyperspectral images
manifold learning
classification
spectral-locational-spatial
Online Access:https://www.mdpi.com/2072-4292/13/14/2752

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