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

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

14 November 2020
Hao Sheng
Jeremy Irvin
Sasankh Munukutla
Shenmin Zhang
Christopher Cross
Kyle T. Story
Rose Rustowicz
Cooper W. Elsworth
Zutao Yang
M. Omara
R. Gautam
R. Jackson
A. Ng
ArXiv (abs)PDFHTML

Papers citing "OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery"

9 / 9 papers shown
Environment-Aware Satellite Image Generation with Diffusion Models
Environment-Aware Satellite Image Generation with Diffusion Models
Nikos Kostagiolas
Pantelis Georgiades
Yannis Panagakis
M. Nicolaou
169
0
0
29 Sep 2025
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Pratinav Seth
Michelle Lin
Brefo Dwamena Yaw
Jade Boutot
Mary Kang
David Rolnick
576
0
0
11 Oct 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring
GEO-Bench: Toward Foundation Models for Earth MonitoringNeural Information Processing Systems (NeurIPS), 2023
Alexandre Lacoste
Nils Lehmann
Pau Rodríguez López
Evan D. Sherwin
Hannah Kerner
...
David Vazquez
Dava Newman
Yoshua Bengio
Stefano Ermon
Xiao Xiang Zhu
SSLALMAI4CE
284
112
0
06 Jun 2023
OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based
  Active Fire Data
OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based Active Fire Data
Samyak Prajapati
Amrit Raj
Yash Chaudhari
Akhilesh Nandwal
Japman Singh Monga
AI4CE
155
1
0
30 Oct 2022
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated
  Methane Source Mapping
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
B. Zhu
Nicholas Lui
Jeremy Irvin
Jimmy Le
Sahil Tadwalkar
Chenghao Wang
Zutao Ouyang
Frankie Y. Liu
Andrew Y. Ng
R. Jackson
270
25
0
22 Jul 2022
Automated Extraction of Energy Systems Information from Remotely Sensed
  Data: A Review and Analysis
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and AnalysisApplied Energy (Appl. Energy), 2022
Simiao Ren
Wei Hu
Kyle Bradbury
D. Harrison-Atlas
L. M. Valeri
Brian Murray
Jordan M. Malof
157
46
0
18 Feb 2022
Extracting Built Environment Features for Planning Research with
  Computer Vision: A Review and Discussion of State-of-the-Art Approaches
Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches
Meiqing Li
Hao Sheng
123
2
0
30 Jan 2022
Toward Foundation Models for Earth Monitoring: Proposal for a Climate
  Change Benchmark
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Alexandre Lacoste
Evan D. Sherwin
Hannah Kerner
Hamed Alemohammad
Bjorn Lutjens
...
Alex Chang
Mehmet Gunturkun
Alexandre Drouin
Pau Rodríguez López
David Vazquez
AI4ClAI4CE
224
36
0
01 Dec 2021
Power Plant Classification from Remote Imaging with Deep Learning
Power Plant Classification from Remote Imaging with Deep Learning
Michael Mommert
L. Scheibenreif
Joelle Hanna
Damian Borth
93
9
0
22 Jul 2021
1
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