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MinZHANG-WHU/Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
907 187 +0/wk
GitHub
artificial-intelligence caffe change-detection code deep-learning keras machine-learning matlab open-datasets python pytorch remote-sensing
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Star & Fork Trend (27 data points)
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MinZHANG-WHU/Change-Detection-Review has +0 stars this period . 7-day velocity: -0.1%.
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| Metric | Change-Detection-Review | PConv-Keras | eaopt | AgileRL |
|---|---|---|---|---|
| Stars | 907 | 907 | 907 | 906 |
| Forks | 187 | 247 | 96 | 69 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | Jupyter Notebook | Go | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | Apache-2.0 |
Capability Radar vs PConv-Keras
Change-Detection-Review
PConv-Keras
Maintenance Activity 0
Last code push 1714 days ago.
Community Engagement 100
Fork-to-star ratio: 20.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.