Identification of offshore oil and gas platform in the Bohai Sea based on multi-source satellite remote sensing

LU Aiying; LI Peng; ZHU Haitian; CHEN Peng; ZHAO Yizhi

doi:10.3969j.issn.1001-909X.2022.04.008

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Journal of Marine Sciences ›› 2022, Vol. 40 ›› Issue (4) : 82-89. DOI: 10.3969j.issn.1001-909X.2022.04.008

Identification of offshore oil and gas platform in the Bohai Sea based on multi-source satellite remote sensing

LU Aiying^1,2, LI Peng³, ZHU Haitian⁴, CHEN Peng^*1,2, ZHAO Yizhi^1,2

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Abstract

To solve the problem of insufficient information of offshore oil and gas platform, the method of oil and gas platform identification based on multi-source satellite remote sensing was studied. Based on Landsat-8 remote sensing images of the Bohai Sea (2018-2021), 136, 166 and 113 oil and gas platforms in the Bohai Sea were identified by threshold segmentation, K-means unsupervised algorithm and maximum likelihood classification, respectively. Based on Sentinel-1 SAR images (2018-2021), 338 oil and gas platforms were identified by threshold segmentation method. Based on the decision level fusion of the above results, 428 oil and gas platforms in the Bohai Sea were identified. The ZY-3 high-resolution images were used to verify the identification results of the fusion method. The results showed that the accuracy of the identified oil and gas platforms reached 85.2%, and the error rate and miss rate were 10.9% and 3.9%, respectively. The identified oil and gas platform locations are consistent with literature and public data. The research shows that the decision level fusion method can realize the effective identification and extraction of offshore oil and gas platforms, and has the value of popularization and application.

Key words

satellite remote sensing / offshore oil and gas platform / multi-source remote sensing / identification / the Bohai Sea

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LU Aiying, LI Peng, ZHU Haitian, CHEN Peng, ZHAO Yizhi. Identification of offshore oil and gas platform in the Bohai Sea based on multi-source satellite remote sensing[J]. Journal of Marine Sciences. 2022, 40(4): 82-89 https://doi.org/10.3969j.issn.1001-909X.2022.04.008

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