文献类型：期刊文献

英文题名：Oil spill detection on X-band marine radar images based on sea clutter fitting model

作者：Liu, Peng[1];Liu, Bingxin[1];Li, Ying[2];Chen, Peng[1];Xu, Jin[3]

机构：[1]Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China;[2]Dalian Maritime Univ, Environm Informat Inst, Dalian 116026, Peoples R China;[3]Guangdong Ocean Univ, Maritime Coll, Zhanjiang 524088, Peoples R China

年份：2023

卷号：9

期号：10

外文期刊名：HELIYON

收录：SCI-EXPANDED(收录号：WOS:001112917400001)、、Scopus(收录号：2-s2.0-85174017336)、WOS

基金：Fundings This research was funded by National Natural Science Foundation of China (52271359) , by Fundamental Research Funds for the Central Universities (3132023126) .

语种：英文

外文关键词：X-band marine radar; Radar images; Oil spill detection; Sea clutter fitting

外文摘要：Oil spills could cause great harm to the natural environment. The ability to identify them accurately is critical for prompt response and treatment. We proposed a sea clutter fitting model of marine radar images for oil spill detection. The model is derived from the geometric structure of the marine radar, the expression of marine radar received power, and the rough surface scattering model of the sea surface. In the denoised marine radar image, the sea clutter fitting model is used to detect coarse oil spills. Then the fine measurement is carried out by mean filter, the Otsu method, and noise reduction. The proposed oil spill detection method was used on radar images sampled after an oil spill accident happened in a coastal region in Dalian, China, on July 21, 2010. The proposed method can detect oil spills without human intervention, and the extracted oil spills are accurate and consistent with visual interpretation.