Comparative Analyses of Unsupervised PCA K-Means Change Detection Algorithm from the Viewpoint of Follow-Up Plan

In this study, principal component analysis and k-means clustering (PCAKM) methods for synthetic aperture radar (SAR) data are analyzed to reduce the sensitivity caused by changes in the parameters and input images of the algorithm, increase the accuracy, and make an improvement in the computation t...

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Detalles Bibliográficos
Autores principales: Kılıç, Deniz Kenan, Nielsen, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736445/
https://www.ncbi.nlm.nih.gov/pubmed/36501887
http://dx.doi.org/10.3390/s22239172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736445/
https://www.ncbi.nlm.nih.gov/pubmed/36501887
http://dx.doi.org/10.3390/s22239172

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