文献类型：期刊文献

英文题名：Oil spill identification in X-band marine radar image using K-means and texture feature

作者：Chen, Rong[1];Li, Bo[1];Jia, Baozhu[1,2];Xu, Jin[1];Ma, Long[1];Yang, Hongbo[1];Wang, Haixia[3]

机构：[1]Guangdong Ocean Univ, Naval Architecture & Shipping Coll, Zhanjiang, Guangdong, Peoples R China;[2]Tech Res Ctr Ship Intelligence & Safety Engn Guang, Zhanjiang, Guangdong, Peoples R China;[3]Dalian Martime Univ, Nav Coll, Dalian, Liaoning, Peoples R China

年份：2022

卷号：8

外文期刊名：PEERJ COMPUTER SCIENCE

收录：SCI-EXPANDED(收录号：WOS:000879433300001)、、EI(收录号：20224713156156)、Scopus(收录号：2-s2.0-85142309286)、WOS

基金：Funding This work was supported by the National Natural Science Foundation of China (No. 52071090) , the Natural Science Foundation of Guangdong Province (2022A1515011603) , the Research start-up funding project of Guangdong Ocean University (060302132009) , the Universitiy Special projects of Guangdong Province (2020ZDX3063) . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

语种：英文

外文关键词：Oil spill extraction; GLCM; Texture feature; K-means; Local adaptive threshold

外文摘要：Marine oil pollution poses a serious threat to the marine ecological balance. It is of great significance to develop rapid and efficient oil spill detection methods for the mitigation of marine oil spill pollution and the restoration of the marine ecological environment. X-band marine radar is one of the important monitoring devices, in this article, we perform the digital X-band radar image by "Sperry Marine"radar system for an oil film extraction experiment. First, the de-noised image was obtained by preprocessing the original image in the Cartesian coordinate system. Second, it was cut into slices. Third, the texture features of the slices were calculated based on the gray-level co -occurrence matrix (GLCM) and K-means method to extract the rough oil spill regions. Finally, the oil spill regions were segmented using the Sauvola threshold algorithm. The experimental results indicate that this study provides a scientific method for the research of oil film extraction. Compared with other methods of oil spill extraction in X-band single-polarization marine radar images, the proposed technology is more intelligent, and it can provide technical support for marine oil spill emergency response in the future.