Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery

Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery

The emergence of deep learning techniques has revolutionized the use of machine learning algorithms to classify complicated environments, notably in remote sensing. Convolutional Neural Networks (CNNs) have shown considerable promise in classifying challenging high-dimensional remote sensing data, p...

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Bibliographic Details
Main Authors:	Ali Jamali, Masoud Mahdianpari
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Series:	Water
Subjects:	wetland classification swin transformer VGG-16 AlexNet CNN deep convolutional neural network
Online Access:	https://www.mdpi.com/2073-4441/14/2/178

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