Superpixel Clustering and Post-Hoc correction to improve the performance of cloud segmentation from satellite images
We implement a 1D-SEUNet model on Superpixel vectors of satelite images to segment out the cloud from the background. Our method aims to reduce the parameters and increase the speed of a conventional segmentation model.
- Pytorch
- Fast-SLIC
- Rasterio
- Sklearn (MDS and PCA)