https://github.com/chenzhaiyu/footprint-detection
Building Footprint Detection from Satellite Images
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.7%) to scientific vocabulary
Keywords
Repository
Building Footprint Detection from Satellite Images
Basic Info
Statistics
- Stars: 17
- Watchers: 1
- Forks: 6
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
Building Footprint Detection
Building footprint detection from satellite/aerial images with Mask R-CNN and image matting (KNN matting, closed-form matting and Grabcut).

Usage
Run python detect.py for detection, python evaluate.py for evaluation, and python regularize.py for regularizing the footprint. You may have to change the hardcoded paths in these scripts.
Dataset
You can download the cropped aerial image tiles and raster labels from WHU Building Dataset.
File Structure
│ detect.py
│ evaluate.py
│ mrcnn_demo.ipynb
│
├─matting
│ closed_form_matting.py
│ grabcut.py
│ knn_matting.py
│ solve_foreground_background.py
│
├─models
│ models_here.txt
│
├─mrcnn
│ config.py
│ model.py
│ parallel_model.py
│ utils.py
│ visualize.py
│ __init__.py
│
└─polygon
regularize.py
Owner
- Name: Zhaiyu Chen
- Login: chenzhaiyu
- Kind: user
- Location: Munich, Germany
- Company: Technical University of Munich
- Website: chenzhaiyu.com
- Repositories: 32
- Profile: https://github.com/chenzhaiyu
GitHub Events
Total
- Watch event: 5
- Fork event: 3
Last Year
- Watch event: 5
- Fork event: 3
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| czy | c****t@c****m | 24 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0