基于知识的SAR图像目标检测被引量：4

Target detection in SAR images based on knowledge

下载PDF

导出

摘要提出了一种基于知识的SAR图像目标检测算法。针对军用车辆,利用各种先验知识,以地形类型信息、距边界的距离信息、目标聚集程度为影响目标出现概率的因素,通过分类获得SAR图像的地形及边缘信息,得到影响因子,并综合地形信息使用MAP准则,从而获得目标检测的结果。使用真实SAR图像进行了测试,结果表明,与CFAR检测算法相比,该算法有效地提高了目标的检测率,虚警目标数目明显减少。 A target detection method in SAR images is proposed. The prior knowledge is used to detect the military vehicles. The target probability is influenced by the terrain type, the hedge proximity and the proximity of other targets. Classification technique is used to get the terrain types and hedge of the image, and the influ- ence factor is calculated. Then with the terrain types, the MAP technique is used to detect the targets. Experi- ments using SAR images indicate that compared with CFAR techniques, the new method proposed in this article increases the detection rate and decreases the number of false targets.

作者赵晖王文光孙进平洪文毛士艺

机构地区北京航空航天大学电子信息工程学院中国科学院电子学研究所微波成像技术国家重点实验室

出处《系统工程与电子技术》 EI CSCD 北大核心 2009年第6期1314-1318,共5页 Systems Engineering and Electronics

基金国家自然科学基金项目资助课题(60702011)

关键词合成孔径雷达目标检测最大后验概率基于知识恒虚警检测 synthetic aperture radar target detection maximum a posterior knowledge based constant false alarm rate

分类号 TN957.52 [电子电信—信号与信息处理]

引文网络
相关文献

参考文献8

1Oliver C J, Quegan S. Understanding synthetic aperture radar images[M]. Norwood, MA:Artech House, 1998.
2Ali Yousefi, Ting Liu, George A. Lampropoulos. Modelling SAR clutter in multi-resolution radar systems[C]//Photonics North, Proc. SPIE 6343, 2006:63432M.
3Kuttikkad S, Chellappa R. Non-Gaussian CFAR techniques for target detection in high resolution SAR images[C]//Proc. of IEEE lnt. Conf. lmage Processing, 1994:910-914.
4McConnell I, Oliver C J. Segmentation-based target detection in SAR[C]//SAR Image Analysis, Modelling and Techniques Ⅱ, Proc. SPIE 3869, 1999:45- 54.
5Blacknell D, Arini Nicholas S, Ian McConnell. SAR image understanding using contextual information[C]// SAR Image Analysis, Modeling, and Techniques Ⅳ, Proc. SPIE 4543, 2001:73 - 84.
6Blacknell D. Contextual information in SAR target detection[C]//IEE Proceedings : Radar, Sonar and Navigation, 2001, 148(1) :41 -47.
7Sang-Eun Park, Moon W M. Unsupervised classification of scattering mechanisms in polarimetric SAR data using fuzzy logic in entropy and alpha plane[J]. IEEE Trans. on Geoscience and Remote Sensing, 2007, 45(8) :2652 - 2664.
8Reigber A, Jager M, He W, et al. Detection and classification of urban structures based on high-resolution SAR imagery[C]// Urban Remote Sensing Joint Event, 2007 : 1 - 6.