Trending repositories for topic remote-sensing
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Datasets for deep learning with satellite & aerial imagery
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Techniques for deep learning with satellite & aerial imagery
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
List of datasets, codes, and contests related to remote sensing change detection
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Datasets for deep learning with satellite & aerial imagery
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
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
A curated list of awesome vision and language resources for earth observation.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
List of datasets, codes, and contests related to remote sensing change detection
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
Datasets for deep learning with satellite & aerial imagery
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"
[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
[ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Datasets for deep learning with satellite & aerial imagery
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
A curated list of awesome resources for generic object detection in aerial images.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Techniques for deep learning with satellite & aerial imagery
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Datasets for deep learning with satellite & aerial imagery
List of datasets, codes, and contests related to remote sensing change detection
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
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
An open source library and framework for deep learning on satellite and aerial imagery.
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"
The semantic segmentation of remote sensing images
A curated list of awesome resources for generic object detection in aerial images.
InSAR phase linking library for creating surface displacement maps using persistent scatterer (PS) and distributed scatterer (DS) processing
Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
🎮 A Benchmark and Awesome Collection of Methods for Remote Sensing Image-Text Retrieval (RSITR)| Remote Sensing Cross-Model Retrieval (RSCMR) | Remote Sensing Vision-Lanuage Models (RSVLMs)
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
[NIPS'23] Official Code of the paper "Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing"
[ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
[RSE 2024] 🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️
Code repository for "Parameter Efficient Self-supervised Geospatial Domain Adaptation", CVPR 2024
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
List of datasets, codes, and contests related to remote sensing change detection
Datasets for deep learning with satellite & aerial imagery
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Community Datasets added by users and made available for use at large
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
[ISPRS 2024] LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data
Collections for hyperspectral image clustering
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
Geo3D (Geology 3D): Powerful and Accessible 3D Inversion
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
[ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
RS5M: a large-scale vision language dataset for remote sensing [TGRS]
🎮 A Benchmark and Awesome Collection of Methods for Remote Sensing Image-Text Retrieval (RSITR)| Remote Sensing Cross-Model Retrieval (RSCMR) | Remote Sensing Vision-Lanuage Models (RSVLMs)
[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator