Natalia Verde, PhD's starred repositories
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
dea-notebooks
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
ee-palettes
A set of common color palettes for Google Earth Engine
HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
deafrica-sandbox-notebooks
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
ChangeDetectionToolbox
MATLAB Toolbox for Remote Sensing Change Detection
Heterogeneous_CD
This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.
deep_residual_unet
Keras implementation of Road Extraction by Deep Residual U-Net article
inria-aerial-image-labeling
Inria Aerial Image Labeling - Building Footprint Extraction using Deep Semantic Segmentation
change-detection-remotesensingimagery
This repository contains the project "Change Detection in Land Usage using Remote Sensing Imangery" completed at Bhaskaracharya Insitutute for Space Applications and Geo-Informatics under Dr. Manoj Pandya from May 2019 to July 2019
earth-engine
Apply machine learning approaches to identify vegetation classes using topographic, spectral and spatial variables.
FFT-based-remote-sensing-image-color-transformation
The code is based on Fourier transform, this program can make the color of remote sensing images of two periods more similar, which is very useful when studying change detection comparison