| 线性最小方差估计用于SAR干涉图大气延迟改正 |
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| 引用本文： | 许才军,王江林.线性最小方差估计用于SAR干涉图大气延迟改正[J].武汉大学学报(信息科学版),2007,32(9):757-760. |
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| 作者姓名： | 许才军 王江林 |
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| 作者单位： | 1. 武汉大学测绘学院,武汉市珞喻路129号,430079;武汉大学地球空间环境与大地测量教育部重点实验室,武汉市珞喻路129号,430079
2. 武汉大学测绘学院,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家自然科学基金;教育部跨世纪优秀人才培养计划;高等学校博士学科点专项科研项目 |
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| 摘 要： | 将线性最小方差估计（linear minimum mean square error,LMMSE）引入SAR干涉图大气延迟改正,并用模拟实验比较了地势平坦地区LMMSE与以往常用于SAR干涉图大气延迟改正的距离权倒数法（inverse distance weighted averaging,IDWA）和普通克里格算法（ordinary Kriging,KRG）的插值效果。同时,还比较了地势起伏较大地区,考虑了高差因素的LMMSE和KRG算法、未考虑高差因素的LMMSE、KRG算法以及IDWA的插值效果。研究结果表明,对于地势平坦地区,在各种精度情况下,当已知点呈随机分布时,点数越少,LMMSE的插值效果的优势越明显;对于地势起伏较大地区,考虑了高差因素的LMMSE的插值效果最佳。
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| 关 键 词： | 线性最小方差估计法 SAR干涉图 大气延迟改正 |
| 文章编号： | 1671-8860（2007）09-0757-04 |
| 修稿时间： | 2007-06-25 |
Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram |
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| XU Caijun,WANG Jianglin.Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram[J].Geomatics and Information Science of Wuhan University,2007,32(9):757-760. |
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| Authors: | XU Caijun WANG Jianglin |
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| Institution: | 1 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China; 2 Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,Wuhan University,129 Luoyu Road,Wuhan 430079,China |
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| Abstract: | Linear minimum mean square error(LMMSE) estimation is introduced for atmospheric delay correction in SAR interferogram.In plain area,the performance of LMMSE is compared with inverse distance weighted averaging(IDWA) and ordinary Kriging(KRG),commonly used for wet atmospheric correction in SAR interferogram,using simulated data.According to the simulation experiment result,LMMSE is better than IDWA and KRG,particularly for sparse randomly distributed known points even the accuracy of known points is bad.And in mountainous area,the performance of LMMSE,KRG considering height difference is compared with LMMSE,KRG not considering height difference and IDWA.According to the simulation experiment result,the LMMSE interpolator considering height difference has the best performance in interpolating atmospheric delay observations in mountainous area. |
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| Keywords: | linear minimum mean square error estimation SAR interferogram atmospheric delay correction |
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