The detection and prediction for oil spill on the sea based on the infrared images

摘要

Detection for oil pollution is an important part of the marine environment protection in maritime security. In order to realize all-weather, rapid and accurate oil spill area detection, infrared images of oil spill on the sea is processed on account of infrared thermal imaging's visual capacity in darkness and frog. The detection for oil spill is realized and the location as well as the area of oil spill is calculated. The prediction integrated model of oil spill spreading is established and the prediction simulation for oil spill area is realized by changing the oil varieties, environmental factors and time, etc. The results show that this simulation is accurate, fast, intuitive and simple. It has certain significance for realizing the early warning of oil spill area detection automatically, intelligently and quickly. (C) 2016 Elsevier B.V. All rights reserved.