基于区域特征的非下采样Contourlet变换卫星云图融合

doi:10.3724/SP.J.1087.2012.02585

计算机应用 ›› 2012, Vol. 32 ›› Issue (09): 2585-2587.DOI: 10.3724/SP.J.1087.2012.02585

基于区域特征的非下采样Contourlet变换卫星云图融合

汪大¹,毕硕本^2*,王必强³,颜坚¹

1.南京信息工程大学计算机与软件学院,南京 210044;
2.南京信息工程大学遥感学院,南京 210044;
3.武汉市气象局,武汉 430040

收稿日期:2012-03-13 修回日期:2012-05-09 发布日期:2012-09-01 出版日期:2012-09-01
通讯作者: 汪大
作者简介:汪大(1988-),男,江苏淮安人,硕士研究生,主要研究方向:气象信息融合、遥感图像处理; 毕硕本(1965-),男,山东昌邑人,教授,博士,CCF会员,主要研究方向:数据挖掘、遥感图像融合; 王必强(1984-),男,陕西澄城人,硕士,主要研究方向:地理信息系统; 颜坚(1988-),男,江苏淮安人,硕士研究生,主要研究方向:气象信息融合。
基金资助:
国家自然科学基金资助项目(41071253);江苏省“六大人才高峰”高层次人才培养对象资助项目(20080249)

Satellite cloud image fusion based on regional feature with nonsubsampled contourlet transform

WANG Da¹,BI Shuo-ben^2*,WANG Bi-qiang³,YAN Jian¹

1.College of Computer and Software,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044,China;
2.College of Remote Sensing,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044,China;
3.Wuhan Meteorological Bureau,Wuhan Hubei 430040,China

Received:2012-03-13 Revised:2012-05-09 Online:2012-09-01 Published:2012-09-01
Contact: Wang-Da

摘要/Abstract

摘要： 对不同的卫星云图进行融合处理,可为灾害性天气的监测和预警提供更为全面的信息,提出一种基于区域特征的非下采样Contourlet变换(NSCT)卫星云图融合新方法。首先,采用NSCT对卫星云图进行多尺度和多方向分解,得到低通子带系数和各带通方向子带系数;然后,对低通子带系数采用基于图像区域相关系数和区域能量的自适应融合规则,对各带通方向子带系数采用加权和区域方差相结合的融合规则;最后,对融合系数进行NSCT逆变换得到融合云图。实验结果表明,该算法在增强融合云图的纹理及边缘等细节信息的同时,能更好地保留源红外云图的红外信息,融合效果更好。

关键词: 卫星云图, 非下采样Contourlet变换, 区域能量, 区域方差

Abstract: The fusion of different satellite cloud images can provide more comprehensive information for surveillance and early warning of disastrous weather. A satellite cloud image fusion algorithm based on regional feature with NonSubsampled Contourlet Transform (NSCT) was proposed. Firstly, the source images were decomposed at multi-scale and multi-direction by NSCT. Then the self-adaptive fusion rule based on regional correlation coefficient and regional energy was used to fuse the low frequency coefficients, and the fusion rule of regional variance in combination with weighting was used for the fusion of the high frequency coefficients. Finally, the fused image was obtained by performing the inverse NSCT on the fused coefficients. The experimental results illustrate that while the texture and edge feature of the fused cloud image are enriched, the infrared information are preserved as much as possible and the proposed algorithm acquires better fusion result.

Key words: satellite cloud image, NonSubsampled Contourlet Transform (NSCT), regional energy, regional variance

中图分类号:

汪大毕硕本王必强颜坚. 基于区域特征的非下采样Contourlet变换卫星云图融合[J]. 计算机应用, 2012, 32(09): 2585-2587.

WANG Da,BI Shuo-ben,WANG Bi-qiang,YAN Jian. Satellite cloud image fusion based on regional feature with nonsubsampled contourlet transform[J]. Journal of Computer Applications, 2012, 32(09): 2585-2587.

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基于区域特征的非下采样Contourlet变换卫星云图融合

Satellite cloud image fusion based on regional feature with nonsubsampled contourlet transform

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