Popular GitHub Repositories for Remote Sensing

?? 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

An open source library and framework for deep learning on satellite and aerial imagery.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Rotational region detection based on Faster-RCNN.

Semantic Segmentation for Remote Sensing

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

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

Data Preparation for Satellite Machine Learning

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

SuperYOLO is accepted by TGRS

Satellite Image Classification using semantic segmentation methods in deep learning

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

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.