海洋科学2024,Vol.48Issue(1) :11-24.DOI:10.11759/hykx20230425001

基于BRDF可见光偏振成像技术的海面溢油油种识别研究

Oil spill-type identification based on BRDF visible polarization imaging technology on sea surface

刘双 马毅 李英超 姜宗辰 杜凯 王斌
海洋科学2024,Vol.48Issue(1) :11-24.DOI:10.11759/hykx20230425001

基于BRDF可见光偏振成像技术的海面溢油油种识别研究

Oil spill-type identification based on BRDF visible polarization imaging technology on sea surface

刘双 1马毅 2李英超 3姜宗辰 4杜凯 5王斌5
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作者信息

  • 1. 自然资源部第一海洋研究所,山东 青岛 266061;中国石油大学(华东)海洋与空间信息学院,山东青岛 266580
  • 2. 自然资源部第一海洋研究所,山东 青岛 266061;自然资源部海洋遥测技术创新中心,山东 青岛 266061
  • 3. 长春理工大学光电工程学院,吉林 长春 130022;吉林省空间光电技术重点实验室,吉林 长春 130022
  • 4. 哈尔滨工业大学,黑龙江哈尔滨 150001
  • 5. 中国石油大学(华东)海洋与空间信息学院,山东青岛 266580
  • 折叠

摘要

海上溢油事件发生后需要及时判断溢油种类,为溢油事故处置提供及时有效的应对措施.本文利用BRDF多角度测量装置和可见光偏振相机对不同油种和清洁海水进行观测,基于可见光偏振特征筛选出最佳观测Stokes参量和对应观测几何,构建了清洁海水和不同油种数据集,并建立了基于BRDF偏振特征的 DBN溢油油种识别模型.研究发现,在实验室可控条件下,相对方位角-60°、0°、-30°组合时油种识别效果较好,光源天顶角和相机观测角二者在接近±50°时识别效果较好;多次重复实验显示,海水、原油、重油、汽油、柴油、棕榈油的最优识别率分别为 90%、86.27%、84%、80.44%、82.08%和 82%;基于可见光偏振特征所建立的油种识别模型,对于海面溢油种类区分具有较好的效果.

Abstract

The oil spill type needs to be promptly identified after the occurrence of a marine oil spill to provide timely and effective response measures for its disposal.The BRDF multi-angle measurement device and visible polarization camera were used to observe clean seawater and different oil types.The best observation Stokes pa-rameters and corresponding observation geometries were selected based on the visible polarization characteristics.The datasets of clean seawater and different oil types were constructed,and the DBN oil spill-type identification model was established based on the BRDF visible polarization characteristics.Under controlled conditions in a laboratory,the combination of relative azimuth angles of-60°,0°,and-30° produces better oil identification re-sults,while the light source zenith angle and camera observation angle have better recognition effects when ap-proaching±50°.Multiple repetitions of experiments showed that the optimal recognition rates for seawater,crude oil,heavy oil,gasoline,diesel oil,and palm oil were 90%,86.27%,84%,80.44%,82.08%,and 82%,respectively.The experimental results show that the oil-type recognition model based on the visible polarization characteristics has a good effect on the oil spill-type identification on the sea surface.

关键词

油种识别/双向反射分布函数(BRDF)/偏振/观测几何/偏振度

Key words

oil spill-type identification/Bidirectional Reflectance Distribution Function(BRDF)/polarization/observation geometry/degree of linear polarization

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基金项目

国家自然科学基金重大项目(61890964)

山东省联合基金(U1906217)

山东省自然科学基金青年基金(ZR2022QD075)

出版年

2024
海洋科学
中国科学院海洋研究所

海洋科学

CSTPCDCSCD北大核心
影响因子:0.541
ISSN:1000-3096
参考文献量24
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