Adugna Mullissa (@adugnag)
github

adugnag

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

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.
Python
231
star
2

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.
Jupyter Notebook
27
star
3

deSpeckNet

These are a set of scripts to train a deep learning based SAR image despeckling method.
MATLAB
23
star
4

CV-deSpeckNet

This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.
Python
18
star
5

SAR-FCN-DK3

These are a set of functions to apply a fully convolutional network on a multi-temporal SAR images for semantic segmentation.
Python
14
star
6

S1-S2_Transformer

This implementation uses Google Earth Engine Python API to process Sentinel-1 SAR and Sentinel-2 optical timeseries for tropical dry forest disturbance mapping. It also uses Tensorflow to build a siamese transformer architecture to implicitly learn the seasonality in the two series to make a forest and non-forest inference.
Python
8
star
7

adugnag.github.io

A personal website for Adugna Mullissa
JavaScript
2
star