Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data
文献类型：期刊论文
| 作者 | Li, Yu1; Zhang, Yuanzhi2 ; Yuan, Zifeng1; Guo, Huaqiu1; Pan, Hongyuan1; Guo, Jingjing1
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| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2018-12-01 |
| 卷号 | 10期号:12页码:14 |
| 关键词 | oil spill deep neural network synthetic aperture radar polarimetry |
| ISSN号 | 2071-1050 |
| DOI | 10.3390/su10124408 |
| 英文摘要 | As a major marine pollution source, oil spills largely threaten the sustainability of the coastal environment. Polarimetric synthetic aperture radar remote sensing has become a promising approach for marine oil spill detection since it could effectively separate crude oil and biogenic look-alikes. However, on the sea surface, the signal to noise ratio of Synthetic Aperture Radar (SAR) backscatter is usually low, especially for cross-polarized channels. In practice, it is necessary to combine the refined detail of slick-sea boundary derived from the co-polarized channel and the highly accurate crude slick/look-alike classification result obtained based on the polarimetric information. In this paper, the architecture for oil spill detection based on polarimetric SAR is proposed and analyzed. The performance of different polarimetric SAR filters for oil spill classification are compared. Polarimetric SAR features are extracted and taken as the input of Staked Auto Encoder (SAE) to achieve high accurate classification between crude oil, biogenic slicks, and clean sea surface. A post-processing method is proposed to combine the classification result derived from SAE and the refined boundary derived from VV channel power image based on special density thresholding (SDT). Experiments were conducted on spaceborne fully polarimetric SAR images where both crude oil and biogenic slicks were presented on the sea surface. |
| WOS关键词 | MODEL |
| 资助项目 | National Key Research and Development Program of China[2016YFB0501501] ; Natural Scientific Foundation of China[41706201] ; Natural Scientific Foundation of China[41471353] ; Spark Program of Beijing University of Technology[XH-2018-02-56] |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000455338100074 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Scientific Foundation of China ; Natural Scientific Foundation of China ; Spark Program of Beijing University of Technology ; Spark Program of Beijing University of Technology ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Scientific Foundation of China ; Natural Scientific Foundation of China ; Spark Program of Beijing University of Technology ; Spark Program of Beijing University of Technology ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Scientific Foundation of China ; Natural Scientific Foundation of China ; Spark Program of Beijing University of Technology ; Spark Program of Beijing University of Technology ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Scientific Foundation of China ; Natural Scientific Foundation of China ; Spark Program of Beijing University of Technology ; Spark Program of Beijing University of Technology |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/24688]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Zhang, Yuanzhi |
| 作者单位 | 1.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China 2.Chinese Acad Sci, Key Lab Lunar & Deep Explora, Natl Astron Observ, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yu,Zhang, Yuanzhi,Yuan, Zifeng,et al. Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data[J]. SUSTAINABILITY,2018,10(12):14. |
| APA | Li, Yu,Zhang, Yuanzhi,Yuan, Zifeng,Guo, Huaqiu,Pan, Hongyuan,&Guo, Jingjing.(2018).Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data.SUSTAINABILITY,10(12),14. |
| MLA | Li, Yu,et al."Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data".SUSTAINABILITY 10.12(2018):14. |
入库方式： OAI收割
来源：国家天文台
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