Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor Bahru, Malaysia.
Mar Pollut Bull. 2014 Dec 15;89(1-2):20-29. doi: 10.1016/j.marpolbul.2014.10.041. Epub 2014 Nov 11.
In this work, a genetic algorithm is applied for the automatic detection of oil spills. The procedure is implemented using sequences from RADARSAT-2 SAR ScanSAR Narrow single-beam data acquired in the Gulf of Mexico. The study demonstrates that the implementation of crossover allows for the generation of an accurate oil spill pattern. This conclusion is confirmed by the receiver-operating characteristic (ROC) curve. The ROC curve indicates that the existence of oil slick footprints can be identified using the area between the ROC curve and the no-discrimination line of 90%, which is greater than that of other surrounding environmental features. In conclusion, the genetic algorithm can be used as a tool for the automatic detection of oil spills, and the ScanSAR Narrow single-beam mode serves as an excellent sensor for oil spill detection and survey.
在这项工作中，应用遗传算法自动检测溢油。该程序是使用在墨西哥湾获取的 RADARSAT-2 SAR ScanSAR 窄波束单波束数据的序列来实现的。研究表明，交叉操作的实现允许生成准确的溢油模式。这一结论得到了接收者操作特性 (ROC) 曲线的证实。ROC 曲线表明，可以使用 ROC 曲线和 90%无判别线之间的区域来识别油膜足迹的存在，这大于其他周围环境特征的区域。总之，遗传算法可以作为自动检测溢油的工具，ScanSAR 窄波束模式是溢油检测和调查的理想传感器。
