Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns

Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns

Hyperspectral images (HSIs) are a powerful tool to classify the elements from an area of interest by their spectral signature. In this paper, we propose an efficient method to classify hyperspectral data using Voronoi diagrams and strong patterns in the absence of ground truth. HSI processing consum...

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Bibliographic Details
Main Authors: Laura Bianca Bilius, Ştefan Gheorghe Pentiuc
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Voronoi diagrams
Parafac decomposition
hyperspectral images
classification
abundances map
strong patterns
Online Access:https://www.mdpi.com/1424-8220/20/19/5684

Internet

https://www.mdpi.com/1424-8220/20/19/5684

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