Spectral–Spatial Joint Feature Extraction for Hyperspectral Image Based on High-Reliable Neighborhood Structure

Spectral–Spatial Joint Feature Extraction for Hyperspectral Image Based on High-Reliable Neighborhood Structure

In recent years, semisupervised spectral–spatial feature extraction (FE) methods for hyperspectral image (HSI) classification have shown promising performance by combining spectral–spatial information and label information. A problem that has not been addressed satisfactorily i...

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Bibliographic Details
Main Authors: Jia Feng, Junping Zhang, Tong Li, Ye Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Classification
hyperspectral image (HSI)
manifold learning
spectral–spatial feature extraction (FE)
Online Access:https://ieeexplore.ieee.org/document/9537604/

Internet

https://ieeexplore.ieee.org/document/9537604/

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