D2D: Mapping Buildings at Continental Scale From Satellite Imagery
Abstract of the talk
Many of the world's buildings are unmapped and are not included in census data. Missing data about human settlements is a problem for example in disaster response or delivering basic services such as electricity or vaccination. This talk will go through methods for identifying buildings in high-resolution satellite imagery, including challenging settings such as informal urban settlements, and how these were applied to create the Open Buildings dataset, containing the geometry of 817M buildings across Africa and South/Southeast Asia.
About the speaker
John Quinn is a Senior Research Software Engineer at Google Research in Ghana and Research Director of Sunbird AI in Uganda. He was previously technical lead for Africa projects at United Nations Global Pulse, and Senior Lecturer in Computer Science at Makerere University in Uganda. He has worked on a number of large scale AI projects across the African continent, in the fields of remote sensing, speech and language, agriculture and health. He holds a BA in Computer Science from the University of Cambridge (2000), and a PhD in Machine Learning from the University of Edinburgh (2007).
This seminar will be conducted virtually on Microsoft Teams. Sign up on the given link to get access to the talk.