The TinyCD model is both lightweight and effective, able to achieve performances comparable or even superior to the current state of the art models with 13-150 times fewer parameters.
Change-detection
- Check out this four-part series demonstrating how to use machine learning for detecting changes in land cover. Open source libraries and tools are used for this tutorial.
- Learn how to perform time series change detection in ArcGIS Pro to investigate changes to the Amazon floodplain forests.
- Check here for a dual stream U-Net architecture method for urban change detection using Sentinel-1 and Sentinel-2 data fusion.
- Million-AID is a large-scale benchmark dataset containing a million instances for remote sensing scene classification.
