Marine oil spill detection using improved polarimetric feature based on polarization SAR image

doi:10.1080/01431161.2024.2305181

YIC-IR

	Marine oil spill detection using improved polarimetric feature based on polarization SAR image
	Wang, Dawei 1; Song, Shasha 2; Yang, Junfang 1; Xu, Mingming 1; Song, Dongmei 1; Guo, Jie3 ; Wan, Jianhua 1; Liu, Shanwei 1
发表期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
	2024-02-01
卷号	45 期号:3 页码:911-929
关键词	polarimetric feature quad-polarization dual-polarization oil spill detection SAR image
DOI	10.1080/01431161.2024.2305181
通讯作者	Liu, Shanwei(20110052@upc.edu.cn)
英文摘要	Monitoring marine oil pollution holds both practical and scientific significance. Synthetic Aperture Radar (SAR) is an active microwave remote sensing technique capable of all-weather and all-day with fine spatial resolution. However, under low wind conditions, rain cells and young ice are examples of look-alikes affect the accuracy of oil spill detection. Polarimetric SAR assumes a crucial role in this context, as it can extract abundant polarimetric features by polarimetric target decomposition. Drawing inspiration from this advancement, an improved polarimetric feature named relative feature based on Cloude-Pottier target decomposition was proposed. The Jeffries-Matusita distance indicates the substantial potential of the relative feature in detecting oil spills. The improved polarimetric feature within U-Net, FCN-8s, and DeepLabv3+ResNet-18 for oil spill detection using polarization SAR images. Experiment results demonstrated that the relative feature has superior performance compared to other polarimetric features and obtained the highest accuracy and dice within U-Net compared to the other two models. These findings introduce promising concepts for achieving rapid and precise detection of oil spills in future applications.
资助机构	National Natural Science Foundation of China ; Shandong Province Joint Fund Key Project
收录类别	SCI
语种	英语
关键词[WOS]	DECOMPOSITION ; BACKSCATTER ; IMPACT ; SCHEME ; MODEL
研究领域[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001151643200001
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/34838
专题	中国科学院烟台海岸带研究所
通讯作者	Liu, Shanwei
作者单位	1.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao, Peoples R China 2.Safety & Environm Protect Tech Res Inst, CNOOC EnerTech Safety & Environm Protect Branch, Tianjin, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
推荐引用方式 GB/T 7714	Wang, Dawei,Song, Shasha,Yang, Junfang,et al. Marine oil spill detection using improved polarimetric feature based on polarization SAR image[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2024,45(3):911-929.
APA	Wang, Dawei.,Song, Shasha.,Yang, Junfang.,Xu, Mingming.,Song, Dongmei.,...&Liu, Shanwei.(2024).Marine oil spill detection using improved polarimetric feature based on polarization SAR image.INTERNATIONAL JOURNAL OF REMOTE SENSING,45(3),911-929.
MLA	Wang, Dawei,et al."Marine oil spill detection using improved polarimetric feature based on polarization SAR image".INTERNATIONAL JOURNAL OF REMOTE SENSING 45.3(2024):911-929.