摘要
为提高海面目标检测性能,提出了基于多尺度分形特征的检测方法。该方法采用了模糊C均值聚类确定潜在目标点数,根据多尺度分形特征,利用支持向量机方法对像素点进行分类,实现目标检测。实验结果表明,该方法能更好地消除海空背景对目标检测的干扰,准确有效的检测出目标。
In order to improve the capability of targets detection,this paper proposes the method of detection based on multi-scale fractal feature.For targets detection,fuzzy C-means（FCM） is used to determine the number of possible targets and support vector machine（SVM） is used to classify the pixels according to multi-scale fractal feature.The experiment results show that the method can better eliminate the interference of aeronaval background,detect the tar-gets accurately and effectively.
出处
《长春理工大学学报（自然科学版）》
2011年第3期82-84,共3页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
多尺度分形
海面目标检测
支持向量机
multi-scale fractal feature
sea target detection
support vector machine
