Feature Extraction Based Multi-Structure Manifold Embedding for Hyperspectral Remote Sensing Image Classification

Feature Extraction Based Multi-Structure Manifold Embedding for Hyperspectral Remote Sensing Image Classification

Hyperspectral remote sensing image is a typical high-dimensional data with a large number of redundant information, which will impact the classification accuracy. Feature extraction is an effective method to reduce the redundancy of hyperspectral image (HSI) and improve the classification performanc...

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Bibliographic Details
Main Authors: Yuhang Gan, Fulin Luo, Juhua Liu, Bing Lei, Tao Zhang, Ke Liu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Hyperspectral remote sensing image
feature extraction
sparse representation
manifold learning
graph embedding
Online Access:https://ieeexplore.ieee.org/document/8082749/

Internet

https://ieeexplore.ieee.org/document/8082749/

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