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OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery [article]

Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson (+1 others)
2020 arXiv   pre-print
In this work, we develop deep learning algorithms that leverage freely available high-resolution aerial imagery to automatically detect oil and gas infrastructure, one of the largest contributors to global  ...  We show that OGNet detects many facilities which are not present in four standard public datasets of oil and gas infrastructure.  ...  Discussion Our results demonstrate the capability of deep learning models to detect large O&G facilities in remotely sensed imagery.  ... 
arXiv:2011.07227v1 fatcat:kn7nzksc75ap3nymxmlk3vr76e