Adugna Mullissa

gee_s1_ard. Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

deSpeckNet-TF-GEE. This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.

deSpeckNet. These are a set of scripts to train a deep learning based SAR image despeckling method.

CV-deSpeckNet. This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.

SAR-FCN-DK3. These are a set of functions to apply a fully convolutional network on a multi-temporal SAR images for semantic segmentation.

adugnag.github.io. A personal website for Adugna Mullissa