Evaluation of Clean Production Management Effectiveness in Oilfield Using Multi-Temporal High-Resolution Satellite Imagery
Author:
Affiliation:
1. Research Institute of Petroleum Exploration & Development,Beijing,China,100080
2. Guangdong Ocean University,Guangdong,China,524094
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282835.pdf?arnumber=10282835
Reference6 articles.
1. Automatic Recognition of Oil Industry Facilities based on Deep Learning;nannan;IEEE International Geoscience and Remote Sensing Symposium,2018
2. Deep Learning for Automatic Recognition of Oil Production Related Objects based on High-Resolution Remote Sensing Imagery;nannan;IEEE International Geoscience and Remote Sensing Symposium,2020
3. Monitoring of Oil Exploitation Infrastructure by Combining Unsupervised Pixel-Based Classification of Polarimetric SAR and Object-Based Image Analysis
4. Monitoring Oil Exploitation Infrastructure and Dirt Roads with Object-Based Image Analysis and Random Forest in the Eastern Mongolian Steppe
5. Spectral properties Analysis of wastewater in oil field and its remote sensing detection with GF-2;yang;IEEE International Geoscience and Remote Sensing Symposium,2020
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