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...
Main Authors: | Laura Bianca Bilius, Ştefan Gheorghe Pentiuc |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/19/5684 |
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