Optimal feature selection for SAR image classification using biogeography-based optimization (BBO), artificial bee colony (ABC) and support vector machine (SVM): a combined approach of optimization and machine learning

DOI10.1007/s10596-020-10030-1zbMath1460.86004OpenAlexW3119211022MaRDI QIDQ2027161

Mehrdad Kaveh, Omid Rostami

Publication date: 25 May 2021

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-020-10030-1

zbMATH Keywords

feature selectionartificial bee colony (ABC)hybrid biogeography-based optimization (HBBO)SAR image classificationsupport vector machine (SVM) and machine learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computational methods for problems pertaining to geophysics (86-08)

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