Multiscale Superpixelwise Locality Preserving Projection for Hyperspectral Image Classification

Multiscale Superpixelwise Locality Preserving Projection for Hyperspectral Image Classification

Manifold learning is a powerful dimensionality reduction tool for a hyperspectral image (HSI) classification to relieve the curse of dimensionality and to reveal the intrinsic low-dimensional manifold. However, a specific characteristic of HSIs, i.e., irregular spatial dependency, is not taken into...

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Bibliographic Details
Main Authors: Lin He, Xianjun Chen, Jun Li, Xiaofeng Xie
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Applied Sciences
Subjects:
hyperspectral image manifold learning
dimensionality reduction
local homogeneity
irregular spatial dependency
multiscale superpixel segmentation
covariance feature
classification
Online Access:https://www.mdpi.com/2076-3417/9/10/2161

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https://www.mdpi.com/2076-3417/9/10/2161

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