Improvement the application of unsupervised classification algorithms on remote sensing images using PCA technique
published by Aِl-Baath University
in 2017
in
and research's language is
العربية
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Abstract in English
The basic step in this algori thm is determining the number of clusters
(K) then calculating the distance between each cluster
center and the elements of images to join each element
to the closest cluster depending on threshold distance.
References used
Dovi V, and Kalaivani S, 2016-A view on spectral unmixing in hyperspectral images, Special Issue, Vol. 10, 23-32
Rodarmel C, and Shan J, 2002-Principle Component Analysis for Hyperspectral Image Classification, Surveying and Land Information System, Vol. 62, 115-123
Abburu S, and Babu S, 2015-Satellite Image Classification Methods and Techniques: A Review, International Journal of Computer Applications, Vol. 116, 20-25