Ly403/EMRDM

[CVPR 2025] The official implementation of EMRDM, which is a novel diffusion model for cloud removal of remote sensing images.

33
/ 100
Emerging

This tool helps professionals like environmental scientists, urban planners, and agricultural specialists get clear views of Earth's surface by removing clouds from satellite and aerial imagery. You input remote sensing images that are partially or fully obscured by clouds, and it outputs cloud-free versions, revealing the ground details. This is for anyone who needs to analyze land use, monitor changes, or assess conditions from satellite data without cloud interference.

Use this if you regularly work with satellite or aerial images that are frequently impacted by cloud cover and need clear, unobstructed views for analysis.

Not ideal if you are looking for a simple, off-the-shelf application for quick, one-off image clean-ups without any technical setup.

satellite-imagery remote-sensing environmental-monitoring geospatial-analysis land-use-mapping
No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 3 / 25

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Stars

51

Forks

1

Language

Python

License

AGPL-3.0

Last pushed

Jan 10, 2026

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Ly403/EMRDM"

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