mlsanityData to 14 Oct 2026

OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based Active Fire Data

arXiv 2210.16924 ↗First posted 30 Oct 2022cs.CV eess.IVcited by 1

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Abstract (arXiv)

Remote sensing has become a crucial part of our daily lives, whether it be from triangulating our location using GPS or providing us with a weather forecast. It has multiple applications in domains such as military, socio-economical, commercial, and even in supporting humanitarian efforts. This work proposes a novel technique for the automated geo-location of Oil & Gas infrastructure with the use of Active Fire Data from the NASA FIRMS data repository & Deep Learning techniques; achieving a top accuracy of 90.68% with the use of ResNet101.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 15 references that are in the map. First posted on arXiv 30 Oct 2022.

Builds on

2 of 15 references.

References · 2

  1. 2018Benchmark Analysis of Representative Deep Neural Network Architecturescited by 77
  2. 2020OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagerycited by 9

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