By Rob Emanuele on October 18th, 2018
Azavea is pleased to announce the release of Raster Vision, a new open source framework for deep learning on satellite and aerial imagery.
By Lewis Fishgold and Annie Zhao on January 3rd, 2018
Learn about our methods and results leveraging our RasterVision deep learning project to predict land use in satellite images of the Amazon.
By James Santucci on October 30th, 2017
Have this open source serverless tile server built with the Serverless framework, AWS Lambda, AWS API Gateway, and GeoTrellis up and running in minutes.
By Lewis Fishgold on September 6th, 2017
In this recording of our most recent Technical Staff Meeting, we walk through our team’s work on Raster Vision, a...
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.