GitHub - azavea/raster-vision: An open source library and framework for deep learning on satellite and aerial imagery.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.
GitHub - satellite-image-deep-learning/techniques: Techniques for deep learning with satellite & aerial imagery
Classification Segmentation Instance segmentation Object detection Object counting Regression Cloud detection & removal Change detection Time series Crop classification Crop yield & vegetation forecasting Wealth and economic activity Disaster response Super-resolution Pansharpening Image-to-image translation Data fusion Generative networks Autoencoders, dimensionality reduction, image embeddings &
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Raster Vision: A Geospatial Deep Learning Framework
Deep learning-based point-scanning super-resolution imaging - Nature Methods
Deep Learning for Soil and Crop Segmentation from Remotely Sensed Data
http://johnsholar.com/CS231NPaper.pdf
