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星载全极化微波辐射计海面风向反演仿真研究 被引量:3

Simulation on Sea Surface Wind Direction Retrieval Using Spaceborne Fully Polarimetric Microwave Radiometer
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摘要 全极化微波辐射计是一种可以测量海面辐射全部4个Stokes参数的新型被动遥感仪器,是测量海面风场、尤其是海面风向的新手段。介绍了国际首台全极化微波辐射计WindSat的海面风向信号谐波特征,在分析风向反演180°模糊度现象的成因基础之上,提出了利用WindSat能够进行前—后向双视扫描的优势去除风向反演180°模糊度问题的思路;通过构建海面风场仿真场景,在WindSat模拟亮温数据中加入高斯白噪声后,使用最大似然估计法和中值滤波技术开展了海面风向反演。比较和分析了使用WindSat前向刈幅和WindSat前—后向刈幅观测数据的风向反演结果。结果表明:由于能够有效去除风向反演180°模糊度,使用前—后向刈幅观测数据的风向反演精度要明显优于仅仅使用前向刈幅的反演结果。 The fully polarimetric microwave radiometer is a new passive remote sensing instrument,which can measure the whole of four Stokes parameters of sea surface radiation,that provides a new technique for sea surface wind vector,especially wind direction.First,the sea surface wind direction harmonics from WindSat,the first spaceborne fully polarimetric microwave radiometer,are introduced.In the basis of analysis of reason of wind direction inversion 180degree ambiguity,the idea to solve this problem is proposed,which take advantage of two-look capability of WindSat.Secondly,the sea surface wind field simulation scenarios are building,and the wind direction is retrieved by maximum likelihood estimation and median filter technique using the simulated WindSat brightness temperatures(Tbs)added gaussion white noise.Finally,the wind direction retrievals using between single-look(only forward swath)and two-look(forward and aft swath)Tbs data are compared.The analysis results show that retrievals using fore-aft data are significantly higher accuracy,because it can effectively remove wind direction inversion 180degree ambiguity.
作者 张勇 吕达仁
出处 《遥感技术与应用》 CSCD 北大核心 2014年第3期386-393,共8页 Remote Sensing Technology and Application
基金 中国科学院对外合作重点项目"卫星遥感大气-地球表面耦合系统的新反演方法 地基验证及应用"(GJHZ1207)
关键词 全极化 微波辐射计 海面风向反演 仿真 Fully polarimetric Microwave radiometer Sea surface wind direction retrieval Simulation
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  • 1陈世平,方宗义,林明森.利用全球导航定位系统进行大气和海洋遥感[J].遥感技术与应用,2005,20(1):30-37. 被引量:5
  • 2杨东凯,张益强,张其善,李紫薇.基于GPS散射信号的机载海面风场反演系统[J].航空学报,2006,27(2):310-313. 被引量:17
  • 3Naderi F, Freilich M H, Long D G. Spaceborne Radar Meas- urement of Wind Velocity over the Ocean An Overview of the NSCAT Scatterometer System [J]. Proceedings of the 1EEE,1991,79(6) ~850-866.
  • 4Wentz F J. A Well Calibrated Ocean Algorithm for Special Sensor Microwave Imager[J]. Journal of Geophysical Re- search, 1997,102, (C4) :8703-8718.
  • 5Witter D L,Chelton D B. A Geosat Altimeter Windspeed Al- gorithm and a Method for Altimeter Windspeed Algorithm Development[J]. Journal of Geophysical Research, 1998, 96 (C5) :8853-8860.
  • 6Portabella M. ERS-2 SAR Wind Field Retrievals from Satel- lite Radar Systems IDa. Barcelona: University of Barcelona, 2002.
  • 7Komiathy A, Zavorotny V U, Axelrad P, et al. GPS Signal Scattering I'rom Sea Surt'ace~Wind Speed Retrieval Using Ex- perimental Data and Theoretical Model[J]. Remote Sensing of Environment,2000,73(2) ~ 162 174.
  • 8Wentz F J ,Peteherych S,Thomas 1. A. A Model Function for Ocean Radar Cross-sections at 14.6 GHz[J]. Journal of Geo- physical Research, 1984,89 ( NC3 ) ~ 3689-3704.
  • 9Attema E. The Active Microwave Instrument Onhoard the ERS-1 Satellite[J]. Proceedings of the 1EEE, 1991,79 (6) : 791-799.
  • 10Wentz F J. Measurement of Oceanic Wind Vector Using Sat- ellite Microwave Radiometers[J]. IEEE Transactions on Geo science and Remote Sensing,1992,30(5)~960-972.

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