Diffusion Subspace Clustering for Hyperspectral Images

Diffusion Subspace Clustering for Hyperspectral Images

Hyperspectral image (HSI) subspace clustering remains a challenging task due to the poor spatial and rich spectral resolutions of HSIs. Most of the existing HSI subspace clustering approaches just extract the spatial and spectral features, ignoring the intrinsic distribution information of data and...

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Bibliographic Details
Main Authors: Jiaxin Chen, Shujun Liu, Zhongbiao Zhang, Huajun Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Diffusion probabilistic model (DPM)
feature extraction
hyperspectral image (HSI)
representation learning
subspace clustering (SC)
Online Access:https://ieeexplore.ieee.org/document/10179942/

Internet

https://ieeexplore.ieee.org/document/10179942/

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