摘要
合成孔径雷达(SAR)已成为检测海洋表面油膜的重要手段之一。本文应用模式识别领域中的模糊逻辑理论,在SAR海上溢油图像中选择33个图像特征进行分析,根据方差分析方法和模糊理论的特点筛选出其中的4个特征参量,建立区分海面溢油与疑似溢油的检测模型。通过对27个测试样本试验,有效识别率达到83%。说明本论文采用的方法对于区分溢油和疑似溢油可行,对业务化海洋遥感溢油检测具有参考价值。
Synthetic Aperture Radar（SAR）has become one of the most important sensors in detecting oil-spill on sea surface.34 features from oil-spill SAR images were analyzed.According to the previous publications and four of them were chosen to establish oil-spill detection model based on fuzzy logic theory.The model was used to distinguish oil-spill objects from look-alikes.The accuracy reaches 83% on the basis of 27 samples testing.Therefore it is possible to distinguish oil spills from the look-alike phenomena using the model established in this paper and the model will be valuable to oil spill detection application operationally especially using SAR data.
出处
《海洋湖沼通报》
CSCD
北大核心
2010年第2期147-154,共8页
Transactions of Oceanology and Limnology
基金
机载海洋激光荧光雷达监测海面溢油(NO.2006AA06Z415)资助
