Popular GitHub Repositories for Satellite Imagery

?? List of satellite image training datasets with annotations for computer vision and deep learning

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Pytorch implementation of ResUnet and ResUnet ++

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

Data Preparation for Satellite Machine Learning

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

Multi-Class Semantic Segmentation on Dubai's Satellite Images.

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

PyTorch Implementation of Pix2Pix framework to train a U-Net with Generative Adversarial Network to map Satellite Imagery to an equivalent Map.

A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

Here are the codes for the "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping" paper.

Official repo for 'Generating Physically-Consistent Satellite Imagery for Climate Visualizations'

Predicting Fuel Load from earth observation data using Machine Learning