Aquaculture areas extraction model using semantic segmentation from remote sensing images at the Maowei Sea of Beibu Gulf
The extraction of aquaculture areas from high-resolution remote sensing images is crucial for effective coastal management and resource preservation. This study introduces SwinNet, a semantic segmentation model leveraging multi-scale feature fusion to enhance the extraction of aquaculture areas, par...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Multidisciplinary Digital Publishing Institute
2025
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/121827/1/121827.pdf http://psasir.upm.edu.my/id/eprint/121827/ https://www.mdpi.com/2410-3888/10/5/236 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|