摘要
提出一种基于信噪比的InSAR干涉图相位噪声抑制算法。该算法对Goldstein滤波方法进行改进,使Goldstein滤波参数α依赖于局部信噪比,从而实现对低信噪比区域进行强滤波、高信噪比区域弱滤波。采用模拟数据和真实数据进行验证,结果表明新算法能有效抑制InSAR干涉图的噪声。
As the quality of InSAR interferogram is quite affected by the interferometric phase noise,many kinds of filters,e.g.the Goldstein filter,are experimented in the interferograms to reduce it.However,most existing radar interferogram filters rely on experience as well as having inadequate adaption.Based on the above deficiency,this paper proposed a signal-to-noise（SNR）-based filtering algorithm for reducing interferometric phase noises.The algorithm is a modification to the Goldstein radar interferogram filter. In the new filter, a new parametera＇ is constructed depending on local SNR of interferogram to replace the Goldstein＊s filter parametera. This modification can make the areas with low SNR strongly filtered, while those with high SNR weakly filtered. The simulated and real data are used to validate the effect of the proposed filter, respectively. The experiment results both demonstrate that the new filter can effectively reduce phase noises in InSAR interferogram and is superior to its competitors
出处
《测绘学报》
EI
CSCD
北大核心
2009年第5期437-442,449,共7页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(40774003
40404001)
国家863计划(2006AA12Z156)
教育部"新世纪优秀人才支持计划"(NECT-08-0570)
国家西部1:50000空白区测图工程2007年度研究课题
