circleLZY/MTKD-CD

Official implementation for "JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework"

37
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Emerging

This project helps remote sensing professionals accurately identify changes in satellite or aerial imagery. By inputting two images of the same area taken at different times, it outputs a detailed map highlighting where changes have occurred. It's designed for geospatial analysts, environmental scientists, urban planners, or anyone monitoring geographical transformations.

120 stars. No commits in the last 6 months.

Use this if you need to precisely detect and map changes between two remote sensing images, especially for complex or subtle alterations, using a robust machine learning framework.

Not ideal if you need a simple, off-the-shelf tool for basic image comparison or if you lack experience with machine learning model training and configuration.

remote-sensing geospatial-analysis environmental-monitoring urban-planning land-cover-change
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

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Stars

120

Forks

18

Language

Python

License

Last pushed

Sep 10, 2025

Commits (30d)

0

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