Volume 32 Issue 9
Sep.  2007
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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.
Citation: 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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Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram

  • 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

Funds: 国家自然科学基金资助项目(40574006);新世纪优秀人才支持计划资助项目(NCET-04-0681);国家教育部高等学校博士学科点专项科研基金资助项目(20030486038)
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  • Received Date: June 24, 2007
  • Revised Date: June 24, 2007
  • Published Date: September 04, 2007
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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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