Spatial–Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering

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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Bibliografische gegevens
Hoofdauteurs: Xing-Hui Zhu, Yi Zhou, Meng-Long Yang, Yang-Jun Deng
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-08-01
Reeks:Sensors
Onderwerpen:
clustering
adaptive graph
spatial–spectral constraint
hyperspectral image
Online toegang:https://www.mdpi.com/1424-8220/22/15/5906

Internet

https://www.mdpi.com/1424-8220/22/15/5906

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