Remote image fusion based on dual tree compactly supported shearlet transform

被引：3

作者：

Duan, Chang ^{[1
,2
]}

Wang, Xue-Gang ^{[2
]}

Wang, Shuai ^{[2
]}

Cheng, Jian ^{[2
]}

Huang, Qi-Hong ^{[1
]}

Wang, Hong ^{[1
,2
]}

机构：

[1] College Electronic Engineering, Chengdu University of Information Technology, Chengdu,610225, China

[2] School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu,611731, China

来源：

Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2015年 / 44卷 / 01期

关键词：

Trees (mathematics) - Wavelet transforms;

D O I：

10.3969/j.issn.1001-0548.2014.01.007

中图分类号：

学科分类号：

摘要：

In this paper, a remote image fusion method based on dual tree compactly supported shearlet transform (DT CSST) is proposed. In the method, the shift variant property is compensated by the dual tree structure, DT CSST combining with the PCA or IHS transform is applied in the remote image fusion. Through the QuickBird and IKONOS data, the experiments suggest that the proposed method is superior to other methods based on other multi-scale transforms, such as DWT, dual tree complex wavelet transform (DT CWT), à trous wavelet, curvelet and à trous shearlet transform. ©, 2015, Univ. of Electronic Science and Technology of China. All right reserved.

引用

页码：43 / 49