techniques
Deep learning methods
A collection of techniques and methods for analyzing satellite imagery using deep learning
Techniques for deep learning with satellite & aerial imagery
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last commit: almost 2 years agoLinked from 4 awesome lists
convolutional-neural-networksdatasetdatasetsdeep-learningdeep-neural-networksearth-observationimage-classificationkerasmachine-learningobject-detectionpythonpytorchremote-sensingsatellite-datasatellite-imagerysatellite-imagessentineltensorflow
sacridini/awesome-geospatial
chrieke/awesome-satellite-imagery-datasets
ly0n/awesome-robotic-tooling
markusschanta/awesome-kerasRelated projects:
| Repository | Description | Stars |
|---|---|---|
 developmentseed/label-maker | Automatically annotates satellite images with OpenStreetMap data | 461 |
 sshuair/torchsat | A deep learning framework for analyzing satellite imagery | 393 |
 jliemansifry/semantic-segmentation | Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
 nshaud/deepnetsforeo | Developing deep learning models for Earth Observation using remote sensing images | 477 |
 deepvector/geospatial-machine-learning | Curated resources and code projects for machine learning in geospatial data science | 564 |
 jgrss/cultionet | A deep learning library for image segmentation of cultivated land from satellite data | 27 |
 warrengreen/srcnn | Software for enhancing satellite images through deep learning techniques | 76 |
 satish1901/methane-detection-from-hyperspectral-imagery | Methods for detecting methane in hyperspectral imagery using deep learning algorithms. | 57 |
 geometalab/osmdeepod | Automated object detection from aerial imagery using OpenStreetMap data and deep learning. | 192 |
 daleroberts/bv | Tools for quickly viewing satellite and hyperspectral images in the terminal | 228 |
 mshiv/sat-seg | Develops semantic segmentation of satellite images using deep learning techniques | 10 |
 azavea/raster-vision | A framework and library for building computer vision models on large imagery sets using deep learning. | 2,099 |
 frontierdevelopmentlab/sat-extractor | Automates satellite image extraction and storage from public constellations at scale. | 76 |
 trailbehind/deeposm | Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. | 1,321 |
 carsonluuu/poverty-prediction-by-satellite-imagery | An effort to analyze socioeconomic data using satellite imagery and machine learning techniques. | 43 |