2022
DOI: 10.32604/cmc.2022.022457
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Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

Abstract: Remote sensing image processing engaged researchers' attentiveness in recent years, especially classification. The main problem in classification is the ratio of the correct predictions after training. Feature extraction is the foremost important step to build high-performance image classifiers. The convolution neural networks can extract images' features that significantly improve the image classifiers' accuracy. This paper proposes two efficient approaches for remote sensing images classification that utiliz… Show more

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Cited by 3 publications
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