A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
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