Peng Liu, Pengzhe Shao, Xingquan Zhao, Xuchong Wang, Peng Chen, Xueyuan Zhu, Ying Li, Jin Xu, Ben Liu
Marine oil spills cause significant environmental damage worldwide. Marine radar imagery is used for oil spill detection. However, the presence of co-channel interference and salt-and-pepper noise in marine radar imagery compromises oil spill identification and extraction. To reduce the co-channel interference, a reduction method combining Otsu’s thresholding with aspect ratio analysis is proposed. For salt-and-pepper noise, a restoration algorithm is designed by integrating transverse, vertical and environmental fittings. The proposed methods demonstrate superior noise suppression of co-channel interference and salt-and-pepper noise compared to conventional approaches while maintaining the original characteristics of the surface radar echo in the marine radar imagery.