Publications

Unsupervised Learning Implementation for SAR Images Clustering

Elsaadouny, M. and Barowski, J. and Rolfes, I.

2021 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS, ICEAA 2021
Volume: Pages: 104
DOI: 10.1109/ICEAA52647.2021.9539661
Published: 2021

Abstract
Unsupervised learning algorithms play a major role and participate in different applications. These algorithms work mainly on defining the hidden patterns within the dataset and clustering the data points into different groups. Unlike supervised learning, unsupervised learning works without any supervision from human, therefore, it is mainly used with unknown data to discover the underlying structure of it. In this research, two of the main unsupervised learning algorithms are implemented and evaluated in clustering of the synthetic aperture radar (SAR) images. © 2021 IEEE.

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