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pro vyhledávání: '"Barrett Doo"'
Autor:
İlke Demir, Forest Hughes, Aman Raj, Kaunil Dhruv, Suryanarayana Murthy Muddala, Sanyam Garg, Barrett Doo, Ramesh Raskar
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 3, p 84 (2018)
We describe our automatic generative algorithm to create street addresses from satellite images by learning and labeling roads, regions, and address cells. Currently, 75% of the world’s roads lack adequate street addressing systems. Recent geocodin
Externí odkaz:
https://doaj.org/article/69faa616ef904da6919073e44a1325a1
Autor:
Kaunil Dhruv, Sanyam Garg, Ilke Demir, Suryanarayana Murthy Muddala, Aman Raj, Forest Hughes, Barrett Doo, Ramesh Raskar
Publikováno v:
CVPR Workshops
Other repository
Other repository
© 2018 IEEE. Millions of people are disconnected from basic services due to lack of adequate addressing. We propose an automatic generative algorithm to create street addresses from satellite imagery. Our addressing scheme is coherent with the stree
Autor:
Divyaa Ravichandran, Grace Kermani, Sanyam Garg, Kleovoulos Tsourides, Jatin Malhotra, Kaunil Dhruv, Ilke Demir, Aman Raj, Forest Hughes, Suryanarayana Murthy, Ramesh Raskar, Barrett Doo
Publikováno v:
CVPR Workshops
We describe our automatic generative algorithm to create street addresses (Robocodes) from satellite images by learning and labeling regions, roads, and blocks. 75% of the world lacks street addresses [12]. According to the United Nations, this means