基于多源卫星遥感的渤海海上油气平台识别

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

海洋学研究 ›› 2022, Vol. 40 ›› Issue (4): 82-89.DOI: 10.3969j.issn.1001-909X.2022.04.008

基于多源卫星遥感的渤海海上油气平台识别

陆霭莹^1,2, 李鹏³, 朱海天⁴, 陈鹏^*1,2, 赵益智^1,2

1.自然资源部第二海洋研究所,浙江杭州 310012;
2.卫星海洋环境动力学国家重点实验室,浙江杭州 310012;
3.中国海洋大学海洋地球科学学院,山东青岛 266100;
4.国家卫星海洋应用中心,北京 100081

收稿日期:2022-03-30 出版日期:2022-12-15 发布日期:2023-02-09
通讯作者: ^*陈鹏(1977—),男,正高级工程师,主要从事卫星海洋目标遥感探测与仿真研究,E-mail:chenpeng@sio.org.cn。
作者简介:陆霭莹(1999—),女,广东省佛山市人,主要从事海洋遥感研究,E-mail:972891570@qq.com。
基金资助:
高分海洋资源环境遥感信息处理与业务应用示范系统(二期)(41-Y30F07-9001-20/22);海洋领域融合应用示范项目

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

1. Second Institute of Oceanography, MNR, Hangzhou 310012, China;
2. State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou 310012, China;
3. College of Marine Geoscience, Ocean University of China, Qingdao 266100, China;
4. National Satellite Ocean Application Service, Beijing 100081, China

Received:2022-03-30 Online:2022-12-15 Published:2023-02-09

摘要/Abstract

摘要： 针对海上油气平台信息不足的问题,开展多源卫星遥感的油气平台识别方法研究。基于Landsat-8光学遥感影像(2018—2021年)应用阈值分割法、K-means分类法和最大似然分类法分别识别出渤海海域油气平台136座、166座和113座;基于Sentinel-1 SAR影像(2018—2021年)应用阈值分割法识别出油气平台338座;对上述结果进行决策级融合,识别出渤海油气平台428座。利用ZY-3高分辨率影像对融合方法的识别结果进行验证,结果显示识别油气平台的正确率达到85.2%,错判率、漏判率分别为10.9%和3.9%;油气平台位置与相关文献和公开资料一致。研究结果表明,决策级融合方法能够实现海上油气平台的有效判别,具有推广、应用价值。

关键词: 卫星遥感, 海上油气平台, 多源遥感, 识别, 渤海

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

中图分类号:

TP75

陆霭莹, 李鹏, 朱海天, 陈鹏, 赵益智. 基于多源卫星遥感的渤海海上油气平台识别[J]. 海洋学研究, 2022, 40(4): 82-89.

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.

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基于多源卫星遥感的渤海海上油气平台识别

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

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