摘要
本文针对离开水面的沉潜油探测和追踪难的问题,研究利用图像声纳系统,通过实验的探测,对比了附油膜尼龙网和未附油膜尼龙网的回声强度,通过对声图像的处理获取了回声强度的差值,说明图像声纳系统具有一定探测沉潜油的能力。
Focusing on detecting and tracking the subsurface oil, this article researched taking advantage of image sonar system, by experiments and theoretic analyses,detecting the echo intensity of subsurface oil covered nylon net and clean nylon net, achieving the echo intensity difference by processing the acoustic image, illustrating the image sonar system has ability.
引文
[1]刘力军.渤海沉潜油检测技术与方案研究.大连海事大学硕士学位论文.2002,6.
[2]Chris Pfeifer,Erik Brzozowski and Ralph Markarian.Long-term Monitoring of Submerged Oil in The Gulf of Mexico Following The T/B DBL 152 Incident.