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作 者:杨晓城 武林[2] 阎敬业[2] 吴龙 吕文涛 YANG Xiao-cheng;WU Lin;YAN Jing-ye;WU Long;LU Wen-tao(Sehool of Information Science and Technology, Zhejiang Sei-Tech University, Hangzhou, Zhejiang 310018, China;CAS Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences,Beijing 100190, China)
机构地区:[1]浙江理工大学信息学院,浙江杭州310018 [2]中国科学院微波遥感技术重点实验室中国科学院国家空间科学中心,北京100190
出 处:《北京理工大学学报》2017年第11期1163-1170,共8页Transactions of Beijing Institute of Technology
基 金:国家"八六三"计划项目(2007AA12Z120);国家自然科学基金资助项目(61601410);浙江省自然科学基金资助项目(LQ15D060006;LY16F010017;LY16F010018);浙江理工大学科研启动基金(14032088-Y)
摘 要:为了获取全极化信息和降低重构误差,提出了一种改进的全极化重构算法应用于全极化综合孔径微波辐射计,并分析了交叉极化对全极化亮温各分量的影响程度.仿真结果表明,与传统算法相比,改进的全极化重构算法能够有效降低图像重构误差,获取高精确度的全极化亮温数据以满足测量土壤湿度、海表面盐度、海表面风矢量等应用需求.Full polarization interferometric radiometer(FPIR),which combines the interferometric synthetic aperture imaging technology with full polarimetric information obtaining technology,is one of the most efficient ways in passive microwave remote sensing.It is difficult to obtain full polarization information for synthetic aperture interferometric radiometer.In order to obtain full polarization information and reduce the reconstruction bias,an improved reconstruction algorithm applied in FPIR system was presented,and the impact of crosspolarization on each component of full polarimetric brightness temperature was analyzed.The simulation results show that the improved reconstruction algorithm can greatly reduce the reconstruction bias,compared with conventional reconstruction algorithm.The improved reconstruction algorithm can obtain high accurate data of full polarimetric brightness temperature to meet the requirements of measuring soil moisture,sea surface salinity,sea surface wind vectors and so on.
关 键 词:被动微波遥感 综合孔径辐射计 全极化 重构算法 FPIR
分 类 号:TP722.6[自动化与计算机技术—检测技术与自动化装置]
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