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Radarsat-2全极化SAR车辆目标典型方位特性分析 被引量:7

Radarsat-2 quad-pol SAR image signature analysis of road trucks
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摘要 Radarsat-2卫星可为普通用户提供8 m分辨率全极化SAR影像服务,这为研究基于星载全极化SAR影像的目标检测与监视提供了数据保障。针对此新型星载SAR影像中的车辆目标,本文提出以目标RCS测量和极化分解两种技术相结合的目标特性分析方法,并以同型号、典型方位的大型卡车为例,进行了不同入射角条件下的两次同步实验。利用本文提出的分析方法对实验数据进行了分析,给出了卡车目标在不同成像方式下的极化特性分析结论。为进一步研究基于星载全极化SAR影像的道路交通监测提供了基础。 Radarsat-2 satellite can provide general users with fine quad-pol SAR image at 8 m resolution which opens new opportunities for target detection and surveillance on spaceborne polarimetric SAR images.Against the vehicle targets in such new quad-pol SAR image,this paper employs a combination method of RCS measure and quad-pol decomposition as the signature analysis tool for research on invariant characters or variant discipline.The signatures are measured from SAR data of two experiments,which have been captured at two different incidences and with three truck targets at different special designed azimuth angles.The results are presented and can be used for advanced research on traffic vehicles targets detection on quad-pol SAR image.
出处 《电波科学学报》 EI CSCD 北大核心 2010年第6期1135-1139,1233,共6页 Chinese Journal of Radio Science
基金 国家863项目(2009AA12Z139) 中国科学院对地观测与数字地球科学中心主任科学基金资助项目(09ZZ101101B) 国家自然科学基金资助项目(40601058,40701108,40871191)
关键词 Radarsat-2全极化SAR影像 车辆目标 RCS测量 Pauli分解 Radarsat-2 quad-pol SAR image truck target RCS measure pauli decomposition
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参考文献9

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