Support vector machine versus convolutional neural network for hyperspectral image classification: A systematic review - Kaul - 2022 - Concurrency and Computation: Practice and Experience - Wiley Online Library

Sneha Raina, Computer Science and Engineering Department, Shri Mata Vaishno Devi University, Katra, J&K, India. Email: sneharaina007@gmail.com Ajay Kaul Computer Science and Engineering Department, Shri Mata Vaishno Devi University, Katra, J&K, India Corresponding Author Sneha Raina Computer Science and Engineering Department, Shri Mata Vaishno Devi University, Katra, J&K, India Correspondence Sneha Raina, Computer Science and Engineering Department, Shri Mata Vaishno Devi University, Katra, J&K, India. Email: sneharaina007@gmail.com Give access Share full-text access Use the link below to share a full-text version of this article with your friends and colleagues. Learn more. Share a link Various machine learning and deep learning techniques have been proposed for classification purposes in the case of hyperspectral imaging. Among all the machine learning techniques support vector machine (SVM) has been a promising classification algorithm in the case of remote sensing applications, pa

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