MinZHANG-WHU/Change-Detection-Review
A comprehensive review with implementations of deep learning methods for detecting changes in remote sensing imagery using satellite, SAR, and street view images.
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This repository accompanies an academic review paper on AI-based change detection methods in remote sensing. It provides open-source implementations of deep learning models (CNN, Siamese networks) for detecting land surface changes across multi-temporal satellite imagery. The repo includes code in PyTorch, TensorFlow, and Keras along with benchmark datasets covering optical, SAR, and street view data.
Frequently asked
- What is MinZHANG-WHU/Change-Detection-Review?
- A comprehensive review with implementations of deep learning methods for detecting changes in remote sensing imagery using satellite, SAR, and street view images.
- Is Change-Detection-Review open source?
- Yes — MinZHANG-WHU/Change-Detection-Review is an open-source project tracked on heatdrop.
- How popular is Change-Detection-Review?
- MinZHANG-WHU/Change-Detection-Review has 909 stars on GitHub.
- Where can I find Change-Detection-Review?
- MinZHANG-WHU/Change-Detection-Review is on GitHub at https://github.com/MinZHANG-WHU/Change-Detection-Review.