Oil Spill Detection Using LBP Feature and K-Means Clustering in Shipborne Radar Image

Jin Xu,Peng Liu,Bo Li,Xuerui Wu,Xinxiang Pan,Baozhu Jia

doi:10.3390/jmse9010065

Abstract

Oil spill accidents have seriously harmed the marine environment. Effective oil spill monitoring can provide strong scientific and technological support for emergency response of law enforcement departments. Shipborne radar can be used to monitor oil spills immediately after the accident. In this paper, the original shipborne radar image collected by the teaching-practice ship Yukun of Dalian Maritime University during the oil spill accident of Dalian on 16 July 2010 was taken as the research data, and an oil spill detection method was proposed by using LBP texture feature and K-means algorithm. First, Laplacian operator, Otsu algorithm, and mean filter were used to suppress the co-frequency interference noises and high brightness pixels. Then the gray intensity correction matrix was used to reduce image nonuniformity. Next, using LBP texture feature and K-means clustering algorithm, the effective oil spill regions were extracted. Finally, the adaptive threshold was applied to identify the oil films. This method can automatically detect oil spills in shipborne radar image. It can provide a guarantee for real-time monitoring of oil spill accidents.

Highlights

With the rapid development of offshore industries of oil exploitation and transportation, oil spill accidents occurred frequently [1,2]
It is of great significance to carry out oil spill monitoring and early warning quickly and effectively
The unmanned aerial vehicle (UAV) monitoring manners are still restricted by the weather and sea states, often unable to carry out the missions

Summary

Introduction

With the rapid development of offshore industries of oil exploitation and transportation, oil spill accidents occurred frequently [1,2]. It is of great significance to carry out oil spill monitoring and early warning quickly and effectively. There are five deployment modes of remote sensing sensors in oil spill monitoring and early warning, which are space-based, air-based, shore-based, ship-based, and platform-based [6,7]. Shipborne radar can be installed on shores, ships, and platforms It can execute large-scale oil spill monitoring and early warning missions under severe weather. It is one of the most effective sensors that can arrive at the site at once after the oil spill accident for cooperation with the emergency command and the clean-up action, which has broad application value and promotion prospect

Methods

Results

Discussion

Conclusion