Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity

Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity

Recently, graph embedding has drawn great attention for dimensionality reduction in hyperspectral imagery. For example, locality preserving projection (LPP) utilizes typical Euclidean distance in a heat kernel to create an affinity matrix and projects the high-dimensional data into a lower-dimension...

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Bibliographic Details
Main Authors: Fubiao Feng, Wei Li, Qian Du, Bing Zhang
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Remote Sensing
Subjects:
hyperspectral data
dimensionality reduction
graph embedding
spectral similarity
Online Access:http://www.mdpi.com/2072-4292/9/4/323

Internet

http://www.mdpi.com/2072-4292/9/4/323

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