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题名: 全极化综合孔径微波辐射计全极化亮温的重构
其他题名: Full Polarimetric Brightness Temperature Reconstruction in Full Polarization Interferometric Radiometer
作者: 杨晓城; 武林; 阎敬业; 吴龙; 吕文涛
作者部门: 微波遥感部
关键词: 被动微波遥感 ; 综合孔径辐射计 ; 全极化 ; 重构算法
刊名: 北京理工大学学报
ISSN号: 1001-0645
出版日期: 2017
卷号: 37, 期号:11, 页码:1163-1170
收录类别: CSCD
项目资助者: 国家八六三计划项目 ; 国家自然科学基金资助项目 ; 浙江省自然科学基金资助项目 ; 浙江理工大学科研启动基金
中文摘要: 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.
英文摘要: 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.
语种: 中文
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内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/6212
Appears in Collections:微波遥感部_期刊论文

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