Deep learning and other computer vision techniques are revolutionizing the usage of imagery in application development. How well do these techniques transfer to geospatial imagery? Geospatial imagery is unique in its metadata and size compared to many of the traditional applications of these technologies. This talk describes the leading computer vision techniques and how they apply to geospatial imagery. Attendees will learn when these techniques can be used with geospatial imagery and the open source tools and standards can be used. Additionally, this talk covers which geospatial projects lend themselves to deep learning techniques and how to measure success.
Chris is a technical lead and senior software engineer at Azavea where he builds tools and applications for aerial and satellite imagery. His favorite FOSS4G tool is GDAL and uses it almost every day to inspect and transform data. As part of his work at Azavea Chris has contributed to GeoTrellis, Raster Foundry, and other FOSS4G tools.
Business Development at Azavea
