摘要
提出了一种基于二维短时傅里叶变换的干涉相位图滤波方法。首先,将干涉相位数据转变成指数,利用二维短时傅里叶变换进行处理,设置阀值,并进行二维短时傅里叶逆变换;最后,求取复数相位,获得滤波后干涉相位。试验结果表明,该方法在有效抑制相干斑的同时,还能有效地保持相位的细节信息和条纹的边缘结构,而且清除了残余点,有利于提高干涉测量的精度。
An interferometric phase noise reduction algorithm based on two-dimensional windowed fourier transform （WFT） is proposed.Firstly,the interferogram phases are transformed into an exponential field,the exponential data are processed by WFT,a threshold is selected to reduce noise,and the filtered exponential data are obtained by inverse WFT （IWFT）.Finally,the filtered wrapped phases are computed by filtered exponential data.The result shows that the new method is powerful to interferogram speckle noise suppression,and residues are removed,as well as it can be preserved fine phase details and fringes＇ structures.The proposed method can improve the accuracy of interferometric products.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第7期139-141,共3页
Computer Engineering and Applications
基金
陕西省自然科学基础研究计划资助项目(No.2006F15)
西北工业大学科技创新基金资助项目(No.2006CR11)
