Trending repositories for topic satellite-imagery
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
Building detection from the SpaceNet dataset by using Mask RCNN.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Datasets for deep learning with satellite & aerial imagery
Interactive interface for browsing global, full-resolution satellite imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Building detection from the SpaceNet dataset by using Mask RCNN.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Datasets for deep learning with satellite & aerial imagery
Interactive interface for browsing global, full-resolution satellite imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Techniques for deep learning with satellite & aerial imagery
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Datasets for deep learning with satellite & aerial imagery
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
Display GeoTIFFs and soon other types of raster on your Leaflet Map
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for...
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
Improve you Geolocation skills, with this ilist of resources.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
Building detection from the SpaceNet dataset by using Mask RCNN.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
A Curated List of Python Resources for Earth Sciences
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for...
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Datasets for deep learning with satellite & aerial imagery
Display GeoTIFFs and soon other types of raster on your Leaflet Map
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
Improve you Geolocation skills, with this ilist of resources.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
Building detection from the SpaceNet dataset by using Mask RCNN.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
A Curated List of Python Resources for Earth Sciences
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
Techniques for deep learning with satellite & aerial imagery
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Datasets for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Display GeoTIFFs and soon other types of raster on your Leaflet Map
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Download and process satellite imagery in Python using Sentinel Hub services.
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
Building detection from the SpaceNet dataset by using Mask RCNN.
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Web App for showcasing Geostationary Weather Satellite Data
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for...
Datasets for deep learning with satellite & aerial imagery
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Improve you Geolocation skills, with this ilist of resources.
A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
GeoTile is the python library for tiling the geographic raster data (eg. Tiff etc)
Building detection from the SpaceNet dataset by using Mask RCNN.
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Datasets for deep learning with satellite & aerial imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Display near-real-time satellite imagery on your desktop.
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
Download and process satellite imagery in Python using Sentinel Hub services.
A Curated List of Python Resources for Earth Sciences
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
Display near-real-time satellite imagery on your desktop.
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for...
Annotation of datasets for deep learning applied to satellite and aerial imagery
Open Satellite Image Cloud Detection Resources (Datasets and Tools)
Datasets for deep learning with satellite & aerial imagery
Application of deep learning for earth observation.
Tools and libraries for processing satellite images (push-broom, frame and push-frame), including rigorous sensor model (RSM) refinement, rational function model (RFM) refinement, orthorectification, ...
Web App for showcasing Geostationary Weather Satellite Data
GeoTile is the python library for tiling the geographic raster data (eg. Tiff etc)
Building footprint segmentation from satellite and aerial imagery