Management of Deep Learning Models for Oil Infrastructure Extraction From Remote Sensing Imagery-Reference-Cited by-同舟云学术

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Management of Deep Learning Models for Oil Infrastructure Extraction From Remote Sensing Imagery

Published:2024-06-13 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 35th Irish Signals and Systems Conference (ISSC)
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Author:

Luo Yuan¹,Bai Lu²,Wang Zhibao¹,Tao Jinhua³,Ma Qiang⁴,Jurek-Loughrey Anna⁵

Affiliation:

1. School of Computer and Information Technology, Northeast Petroleum University,Daqing,China

2. School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast,Belfast,UK

3. Aerospace Information Research Institute of Chinese Academy of Sciences,Beijing,China

4. College of Information and Electrical Engineering Heilongjiang Bayi Agricultural University,Daqing,China

5. School of Electronics, Queen's University Belfast,Electrical Engineering and Computer Science,Belfast,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602774/10602795/10602898.pdf?arnumber=10602898

Reference23 articles.

1. Oil Well Detection under Occlusion in Remote Sensing Images Using the Improved YOLOv5 Model

2. An Oil Well Dataset Derived from Satellite-Based Remote Sensing

3. Semantic Segmentation of Oil Well Sites Using Sentinel-2 Imagery

4. Mask R-CNN based automated identification and extraction of oil well sites

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