Spatial–Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering

Hyperspectral image (HSI) clustering is a challenging task, whose purpose is to assign each pixel to a corresponding cluster. The high-dimensionality and noise corruption are two main problems that limit the performance of HSI clustering. To address those problems, this paper proposes a projected cl...

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Detalles Bibliográficos
Autores principales: Zhu, Xing-Hui, Zhou, Yi, Yang, Meng-Long, Deng, Yang-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371436/
https://www.ncbi.nlm.nih.gov/pubmed/35957463
http://dx.doi.org/10.3390/s22155906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371436/
https://www.ncbi.nlm.nih.gov/pubmed/35957463
http://dx.doi.org/10.3390/s22155906

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