Noise reduction based on the characteristics of X-band marine radar images for oil spill detection

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Authors: Peng Liu, Pengzhe Shao, Xingquan Zhao, Xuchong Wang, Peng Chen, Xueyuan Zhu, Ying Li, Jin Xu, Ben Liu
Cited by: 3
References: 17

Abstract

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.

Fields of Study & Subjects

Oil Spill Detection and Mitigation Radar Systems and Signal Processing Fire Detection and Safety Systems

Publication details

Journal / source
Remote Sensing Letters
Publisher
Informa UK Limited
Volume
17
Issue
2
Pages
190–197
Publication date
16 January 2026
Language
EN