Oil spills identification in SAR image using Mahalanobis distance

摘要：

　　This paper presents a method of oil spills identification in Synthetic Aperture Radar (SAR) image based on feature vector,it makes use of the advantages of SAR which can work on day and night and all weather conditions with high resolution monitoring for oil spills.Use the algorithm of Mahalanobis distance to identify the target object and gain the feature vector through evaluating SAR image of the dark area boundary.It is proved by experiment that the number of selected feature value is reasonable and more effective for estimating whether has oil spills than the traditional one.The accuracy rate can reach 96% or even more for using the algorithm of Mahalanobis distance and compare to the other methods of oil spills identification it is easy for programming implementation with less conditions.

关键词： SAR image oil spills feature vector Mahalanobis distance

作者: Chen Peng Zhou Hui Wang Xiaotian

作者单位: Environment Information Institution Dalian Maritime University Dalian,China Computer Science and Technology Dept.Dalian Neusoft Institute of Information Dalian,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 246-250

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）