Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification

Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification

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Deep learning based data driven methods with multi-sensors spectro-temporal data are widely used for pattern identification and land-cover classification in remote sensing domain. However, adjusting the right tuning for the deep learning models is extremely important as different parameter setting c...

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Bibliographic Details
Main Authors: Awab ur Rashid Durrani, Nasru Minallah, Najam Aziz, Jaroslav Frnda, Waleed Khan, Jan Nedoma
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910738/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910738/?tool=EBI

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