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Deep Learning for Semantic Segmentation of Aerial Imagery by Azavea

Software Engineering

Deep Learning for Semantic Segmentation of Aerial and Satellite Imagery

By Lewis Fishgold and Rob Emanuele on May 30th, 2017

This post describes how to use deep learning to do semantic segmentation on aerial and satellite imagery, experiments on the ISPRS Potsdam dataset, and how to visualize model predictions on a map.
Raster Foundry Browse Page

Software Engineering

Raster Foundry: Geospatial Analysis at Any Scale

By Joe Morrison on April 21st, 2017

Azavea has a rich history of productizing our research: from forecasting crime to managing green infrastructure in cities to aggregating...
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