计算机工程与应用2011，Vol.47Issue(18)：195-197,203,4.DOI:10.3778/j.issn.1002-8331.2011.18.057
利用Mahalanobis距离的SAR图像溢油识别
Oil spills identification in SAR image using Mahalanobis distance
周慧 1陈澎2
作者信息
- 1. 大连东软信息学院,计算机科学与技术系,辽宁大连,116023
- 2. 大连海事大学,环境科学与工程学院,辽宁大连,116023
- 折叠
摘要
Abstract
A method on feature vector of the oil spills identification in SAR images is proposed, The advantages of Synthetic Aperture Radar(SAR) are useful,which can work on day and night and all weather conditions for high resolution monitoring of oil spills.The Mahalanobis distance approach has been developed in order to evaluate the probability that a dark area is a slick on SAR images. The experimental verification, a small number of characteristic values has been selected in the paper for that oil spills is significant. The algorithm of Mahalanobis distance discrimination is clear, and the accuracy rate reaches 96％ or more. Compare to other oil spills determine methods, this approach appends less conditions and is conducive to computer programming.关键词
合成孔径雷达(SAR)图像/溢油/特征向量/Mahalanobis距离Key words
Synthetic Aperture Radar(SAR) image/ oil spill/ feature vector/ Mahalanobis distance分类
信息技术与安全科学引用本文复制引用
周慧,陈澎..利用Mahalanobis距离的SAR图像溢油识别[J].计算机工程与应用,2011,47(18):195-197,203,4.
