Stars
[IEEE GRSS DFC 2025 Track II] BRIGHT: A globally distributed multimodal VHR dataset for all-weather disaster response
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[JAG 2024] UAD-RS: Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
An open source implementation of CLIP.
PyTorch implementation of popular datasets and models in remote sensing
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions
[NeurIPS 2024 Spotlight] Official repository of SynRS3D
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
RS5M: a large-scale vision language dataset for remote sensing [TGRS]
Official repo for "SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing"
A set of tools to use in Google Earth Engine Code Editor (JavaScript)
Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process (ICCV 2023)
Teleconnection-driven vision transformers for improved long-term forecasting
Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps
Semi-supervised semantic segmentation needs strong, varied perturbations
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Backdoor Attacks for Remote Sensing Data with Wavelet Transform