circleLZY/MTKD-CD
Official implementation for "JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework"
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.
Stars
120
Forks
18
Language
Python
License
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Category
Last pushed
Sep 10, 2025
Commits (30d)
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