Research on Thermal Infrared Remote Sensing Detection of Oil Spill on Sea Surface

Abstract

Marine oil-spill accidents seriously threaten both the marine ecological environment and human health. It is important to accurately identify the type of oil spills and detect the thickness of oil films on the sea surface to obtain the amount of oil spill for on-site emergency responses. Remote sensing is an important method for marine oil-spill detection and identification. In this study, thermal infrared remote sensing images of oil spills were obtained using thermal infrared imaging camera and UA V, and a marine oil-spill thermal infrared detection SVC model was proposed to conduct oil-spill detection research. The results of the land-based experiment show that there is a strong correlation between the thick oil film with different thicknesses and the surface temperature, and the R2 is larger than 0.92. The results of the UA V detection experiment show that the OA is larger than 76.84%, and the Kappa coefficient is larger than 0.740, which show the potential of UA V thermal infrared remote sensing for oil-spill detection.