Adam Kraft, Deep Learning Engineer at Orbital Insight, presents the "Challenges and Approaches for Extracting Meaning from Satellite Imagery" tutorial at the May 2019 Embedded Vision Summit.
Orbital Insight is a geospatial big data company leveraging the rapidly growing availability of satellite, UAV and other geospatial data sources to understand and characterize socioeconomic trends at global, regional and hyper-local scales. The company uses recent advances in deep learning and cloud computing to process and understand the information available in millions of images.
In this talk, Kraft explores three sets of technical challenges the company had to overcome to develop a robust solution. First, he discusses challenges associated with fusing data that can come from different types of image sensors as well as different ground truth measurement sources. Next, he explores challenges related to detecting trends and analyzing changes in imagery over time. Finally, he examines challenges involved in choosing the right machine learning methods for the task at hand.
