IGSNRR OpenIR
Offshore Platform Extraction Using RadarSat-2 SAR Imagery: A Two-Parameter CFAR Method Based on Maximum Entropy
Wang, Qi1; Zhang, Jing1,2,3; Su, Fenzhen1
2019-06-01
Source PublicationENTROPY
ISSN1099-4300
Volume21Issue:6Pages:22
Corresponding AuthorSu, Fenzhen(sufz@lreis.ac.cn)
AbstractThe ability to determine the number and location of offshore platforms is of great significance for offshore oil spill monitoring and offshore oil and gas development. Considering the problem that the detection threshold parameters of the two-parameter constant false alarm rate (CFAR) algorithm require manual and repeated adjustment of the during the extraction of offshore platform targets, this paper proposes a two-parameter CFAR target detection method based on maximum entropy based on information entropy theory. First, a series of threshold parameters are obtained using the two-parameter CFAR algorithm for target detection. Then, according to the maximum entropy principle, the optimal threshold is estimated to obtain the target detection results of the possible offshore platform. Finally, the neighborhood analysis method is used to eliminate false alarm targets such as ships, and the final target of the offshore platform is obtained. In this study, we conducted offshore platform extraction experiments and an accuracy evaluation using data from the Pearl River Estuary Basin of the South China Sea. The results show that the proposed method for platform extraction achieves an accuracy rate of 97.5% and obtains the ideal offshore platform distribution information. Thus, the proposed method can objectively obtain the optimal target detection threshold parameters, greatly reduce the influence of subjective parameter setting on the extraction results during the target detection process and effectively extract offshore platform targets.
Keywordoffshore platform extraction two-parameter CFAR maximum entropy Pearl River Estuary Basin
DOI10.3390/e21060556
WOS KeywordSHIP DETECTION ; SEGMENTATION ; FILTER
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41890854]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000475304200017
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58173
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSu, Fenzhen
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China
3.Gansu Prov Engn Lab Natl Geog State Monitoring, 88 Anning Rd, Lanzhou 730070, Peoples R China
Recommended Citation
GB/T 7714
Wang, Qi,Zhang, Jing,Su, Fenzhen. Offshore Platform Extraction Using RadarSat-2 SAR Imagery: A Two-Parameter CFAR Method Based on Maximum Entropy[J]. ENTROPY,2019,21(6):22.
APA Wang, Qi,Zhang, Jing,&Su, Fenzhen.(2019).Offshore Platform Extraction Using RadarSat-2 SAR Imagery: A Two-Parameter CFAR Method Based on Maximum Entropy.ENTROPY,21(6),22.
MLA Wang, Qi,et al."Offshore Platform Extraction Using RadarSat-2 SAR Imagery: A Two-Parameter CFAR Method Based on Maximum Entropy".ENTROPY 21.6(2019):22.
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