Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model
文献类型:期刊论文
作者 | Zhang, Jing1,2,3; Wang, Qi1; Su, Fenzhen1 |
刊名 | SENSORS
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出版日期 | 2019-01-02 |
卷号 | 19期号:2页码:18 |
关键词 | dual-step-modified model two-parameter CFAR detection Hough transform single SAR image offshore platform |
ISSN号 | 1424-8220 |
DOI | 10.3390/s19020231 |
通讯作者 | Su, Fenzhen(sufz@lreis.ac.cn) |
英文摘要 | The quantity and location of offshore platforms are of great significance for marine oil spill monitoring and offshore oil-gas development. In the past, multiphase medium- and low-resolution optical or radar images have been used to remove the interference of ship targets based on the static position of a platform to extract the offshore platform, resulting in large demands and high image data costs. According to the difference in shape between offshore platforms (not elongated) and ships (elongated shapes) in SAR (synthetic aperture radar) images, this paper proposes an automatic extraction method for offshore platforms in single SAR images based on a dual-step-modified model. First, the two-parameter CFAR (constant false alarm rate) algorithm was used to detect the possible offshore platform targets; then, the Hough transform was introduced to detect and eliminate ship targets with linear structures. Finally, the final offshore platform was obtained. Experiments were carried out in four study areas in the Beibu Gulf basin and the Pearl River estuary basin in the northern South China Sea. The results show that the method has a good extraction effect in the above research area, and the extraction accuracy rate of offshore platforms is 86.75%. A single SAR image can obtain satisfactory extraction results, which greatly saves on image data cost. |
WOS关键词 | HOUGH TRANSFORM ; CFAR ; SELECTION |
资助项目 | National Natural Science Foundation of China[41890854] |
WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:000458569300014 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/49957] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Su, Fenzhen |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Gansu Prov Engn Lab Natl Geog State Monitoring, 88 Anning Rd, Lanzhou 730070, Gansu, Peoples R China 3.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Jing,Wang, Qi,Su, Fenzhen. Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model[J]. SENSORS,2019,19(2):18. |
APA | Zhang, Jing,Wang, Qi,&Su, Fenzhen.(2019).Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model.SENSORS,19(2),18. |
MLA | Zhang, Jing,et al."Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model".SENSORS 19.2(2019):18. |
入库方式: OAI收割
来源:地理科学与资源研究所
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