A Modified Mixture Model-Based Clustering Algorithm for Resolving the Problem of Mixed Pixels Available in Satellite Imagery

In this study we present the model-based clustering in order to overcome the problem of mixed pixels for satellite imagery. The mixed pixel problem is one of the major reasons that affect the classification accuracy in the classification of remotely sensed images. Mixed pixels are usually the prime...

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Vydané v:	Lobachevskii journal of mathematics Ročník 44; číslo 11; s. 4824 - 4838
Hlavní autori:	Sherwani, A. R., Ali, Q. M., Ali, Irfan, Panta, Chom, Volodin, Andrei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Moscow Pleiades Publishing 01.11.2023
Predmet:	Algebra Analysis Geometry Mathematical Logic and Foundations Mathematics Mathematics and Statistics Probability Theory and Stochastic Processes Bayesian information criteria mixture model Akaike information criteria model-based clustering integrated complete-data likelihood criteria EM algorithm
ISSN:	1995-0802, 1818-9962
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