|Method to Reduce Imaging Errors in Dynamic Target Observation of the Geostationary Interferometric Microwave Sounder|
|Zhang, Ying; Liu, Hao; Wu, Ji; Zhang, Cheng; He, Jieying
|发表期刊||IEEE Geoscience and Remote Sensing Letters
Microwave Acoustic Devices
|摘要||The Geostationary Interferometric Microwave Sounder (GIMS) is a synthetic aperture microwave sounder working in time-sharing sampling mode with a rotating circular antenna array, thus having a relatively long imaging period. Since target motion in the imaging period will pose a problem to imaging effect, observing dynamic target such as fast changing weather of tropical cyclones will introduce imaging error to the retrieved image of GIMS. A method that combines Kalman filter and interpolation to reduce imaging error are presented, which utilizes a time sequence of visibilities collected by time-sharing sampling method. Simulations of GIMS's observation process in viewing a series of near real case brightness temperature maps modeled by the National Center for Environmental Prediction Final Operational Global Analysis data/Weather Research and Forecasting Model/Radiative Transfer for Television Infrared Observation Satellite Operational Vertical Sounder method, together with postprocessing of dynamic observation error-correction processing and image retrieval are conducted for the method. Results show that the method can reduce imaging error even if there are random noises in visibilities. © 2004-2012 IEEE.|
Zhang, Ying,Liu, Hao,Wu, Ji,et al. Method to Reduce Imaging Errors in Dynamic Target Observation of the Geostationary Interferometric Microwave Sounder[J]. IEEE Geoscience and Remote Sensing Letters,2017,14(2):267-271.
Zhang, Ying,Liu, Hao,Wu, Ji,Zhang, Cheng,&He, Jieying.(2017).Method to Reduce Imaging Errors in Dynamic Target Observation of the Geostationary Interferometric Microwave Sounder.IEEE Geoscience and Remote Sensing Letters,14(2),267-271.
Zhang, Ying,et al."Method to Reduce Imaging Errors in Dynamic Target Observation of the Geostationary Interferometric Microwave Sounder".IEEE Geoscience and Remote Sensing Letters 14.2(2017):267-271.