**Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, Sentinel-2, and LiDAR Data" paper.
The paper is published in Remote Sensing journal.
Jamali, Ali, and Masoud Mahdianpari. 2022. "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data" Remote Sensing 14, no. 2: 359. https://doi.org/10.3390/rs14020359
There are three branches in the proposed multi-model deep CNN network:
- A modified version of VGG-16 for Sentinel-2 data
- A 3D CNN for Sentinel-1 data
- The Swin Transformer for the DEM generated from LiDAR data
In our VGG-16 network, we modified the number of filters and kernel sizes to reduce the complexity of the original VGG-16 Deep CNN Network