Land Cover Classification from Hyperspectral Images via Weighted Spatial–Spectral Joint Kernel Collaborative Representation Classifier

Land Cover Classification from Hyperspectral Images via Weighted Spatial–Spectral Joint Kernel Collaborative Representation Classifier

The continuous changes in Land Use and Land Cover (LULC) produce a significant impact on environmental factors. Highly accurate monitoring and updating of land cover information is essential for environmental protection, sustainable development, and land resource planning and management. Recently, C...

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Bibliographic Details
Main Authors: Rongchao Yang, Qingbo Zhou, Beilei Fan, Yuting Wang, Zhemin Li
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Agriculture
Subjects:
land cover classification
hyperspectral images
weighted spatial–spectral features
spatial structure information
kernel trick
collaborative representation
Online Access:https://www.mdpi.com/2077-0472/13/2/304

Internet

https://www.mdpi.com/2077-0472/13/2/304

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