aj1365/3DUNetGSFormer
Here are the codes for the "3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer" paper.
This tool helps environmental scientists and conservationists accurately identify and map complex wetland areas using satellite or aerial imagery. By inputting remote sensing data, it generates detailed maps that clearly delineate different wetland types, assisting in ecological studies, land management, and conservation efforts. It's designed for researchers and professionals focused on environmental monitoring and geospatial analysis.
No commits in the last 6 months.
Use this if you need to precisely map and categorize intricate wetland ecosystems from satellite imagery for environmental assessment or land planning.
Not ideal if you are looking for a general-purpose image classification tool unrelated to environmental mapping or wetland identification.
Stars
10
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5
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 22, 2022
Commits (30d)
0
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