A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification

A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification

Hyperspectral images (HSI) provide ample spectral information of land cover. The hybrid classification method works well for HSI; however, how to select the suitable similarity measures as kernels with the appropriate weights of hybrid classification for HSI is still under investigation. In this pap...

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Bibliographic Details
Main Author: Junzhe Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Imaging
Subjects:
feature selection
classification
hyperspectral image
similarity measure
K-means
Online Access:https://www.mdpi.com/2313-433X/8/7/180

Internet

https://www.mdpi.com/2313-433X/8/7/180

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