Explore Projects
Discover 21 open source projects
Showing 1-20 of 21 projects
satellite-image-deep-learning/techniques
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
OpenDroneMap/ODM
A command-line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.
torchgeo/torchgeo
TorchGeo is a Python library for working with geospatial data using PyTorch, providing datasets, samplers, transforms, and pre-trained models.
chrieke/awesome-satellite-imagery-datasets
List of satellite image training datasets with annotations for computer vision and deep learning
OpenDroneMap/WebODM
An open-source, user-friendly software for processing aerial imagery and creating 3D maps and point clouds.
google/earthenterprise
Google Earth Enterprise is an open-source platform for creating and publishing customized 3D globes and 2D maps.
TeehanLax/Hyperlapse.js
A JavaScript utility for creating hyperlapse videos from Google Street View imagery.
rasterio/rasterio
Rasterio is a Python library for reading and writing geospatial raster datasets, with support for GDAL and Mapbox satellite imagery.
azavea/raster-vision
An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.
hukaixuan19970627/yolov5_obb
A Python library for oriented object detection using the YOLOv5 model, with support for rotated bounding boxes.
plant99/felicette
A Python library for processing and visualizing satellite imagery data.
microsoft/GlobalMLBuildingFootprints
A dataset of worldwide building footprints derived from satellite imagery for geospatial and computer vision applications.
lds133/weather_landscape
A Python project that visualizes weather forecasts through landscape imagery, using the OpenWeatherMap API.
trailbehind/DeepOSM
A Python library for training deep learning models on OpenStreetMap data and satellite imagery.
acgeospatial/awesome-earthobservation-code
A curated list of tools and resources for working with Earth observation and geospatial satellite imagery data.
SuperBruceJia/EEG-DL
A deep learning library for EEG tasks classification, built with TensorFlow.
ziyc/drivestudio
A 3D reconstruction and simulation framework for urban scenes, focused on omnidirectional imagery.
satellite-image-deep-learning/datasets
A collection of datasets for deep learning with satellite and aerial imagery.
awesome-spectral-indices/awesome-spectral-indices
A curated list of Spectral Indices for Remote Sensing applications, focused on Earth Engine and satellite imagery.
WangLibo1995/GeoSeg
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
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