Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data

Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data

The use of machine learning algorithms to classify complex landscapes has been revolutionized by the introduction of deep learning techniques, particularly in remote sensing. Convolutional neural networks (CNNs) have shown great success in the classification of complex high-dimensional remote sensin...

Full description

Bibliographic Details
Main Authors: Ali Jamali, Masoud Mahdianpari
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
Swin transformer
3D convolutional neural network
coastal wetlands
New Brunswick
random forest
support vector machine
Online Access:https://www.mdpi.com/2072-4292/14/2/359

Internet

https://www.mdpi.com/2072-4292/14/2/359

Similar Items