[Research Article] CA-MTransUNet: Cloud-aware mixture-of-experts linear transformer U-Net for forest burned area (FBA) mapping using Sentinel-1 and Sentinel-2 images
The CA-MTransU-Net architecture achieves superior mIoU of 87.00% and faster inference speeds compared to benchmark algorithms, providing a scalable solution for post-fire damage assessment in cloud-prone landscapes.