Raster Foundry
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Video: Using Convolutional Neural Networks to Automatically Analyze Aerial and Satellite Imagery
In this recording of our most recent Technical Staff Meeting, we walk through our team’s work on Raster Vision, a set of open source tools for automatically analyzing aerial and satellite imagery using convolutional neural networks. As part of Raster Vision, we have implemented approaches to tagging (predicts a set of tags for each image) […]
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Deep Learning for Semantic Segmentation of Aerial and Satellite Imagery
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.
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Raster Foundry: Geospatial Analysis at Any Scale
Azavea has a rich history of productizing our research: from forecasting crime to managing green infrastructure in cities to aggregating elected official data. One of the primary reasons that I love working here is our ongoing commitment to supporting research that translates directly into civic and social impact (typically by making complex analytical tools approachable […]
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