University of Bahrain
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A New Synthetic Aperture Radar (SAR) Image Classification Framework Model using SAR Despeckling

Show simple item record Kumar, Bibek Ranjan, Ranjeet Kumar Husain, Arshad 2022-10-31T05:12:35Z 2022-10-31T05:12:35Z 2022-10-31
dc.identifier.issn 2210-142X
dc.description.abstract In recent years, the popularity of the synthetic aperture radar (SAR) imaging system is growing exponentially. The SAR images are mainly used for the identification or classification of objects for various purposes. The classification of objects from SAR images can be difficult due to the multiplicative noise present in the images and the high dimensionality. In this manuscript, a machine learning based approach to classify images labeled with multiple classes has been proposed. Proposed approach first deals with speckling the images using a multi-objective enhanced Fruit Fly optimization method. Next, it applies a principal component analysis-based method for feature extraction. Finally, the despeckled and extracted features are used to evaluate the Support Vector Machine classifier. The proposed approach has performed well with the training and testing accuracy of 99.73% and 98.10% respectively. The experiments show that the despeckling has improved the performance of the proposed classifier to a great extent. The proposed approach also performed better than some other machine learning classifiers as well as some existing literature in terms of different performance measures. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Remote Sensing, SAR Despeckling, SAR Classification, Machine Learning, Support Vector Machine en_US
dc.title A New Synthetic Aperture Radar (SAR) Image Classification Framework Model using SAR Despeckling en_US
dc.type Article en_US
dc.volume 12 en_US
dc.issue 1 en_US
dc.pagestart 1129 en_US
dc.pageend 1144 en_US
dc.contributor.authoraffiliation School of Computing, DIT University,Dehradun, Uttarakhand, India en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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