SAR and Infrared Image Fusion Using Nonsubsampled Contourlet Transform

被引：0

作者：

Zhang, Ying ^{[1
]}

Li, Yanjun ^{[1
]}

Zhang, Ke ^{[1
]}

Wang, Hongmei ^{[1
]}

Li, Meili ^{[1
]}

机构：

[1] NW Polytech Univ, Coll Astron, Xian 710072, Peoples R China

来源：

FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年

关键词：

image fusion; Synthetic Aperture Radar; infrared image; nonsubsampled contourlet transform; DESIGN;

D O I：

10.1109/JCAI.2009.68

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To utilize the separate advantage of the Synthetic Aperture Radar (SAR) and infrared images, in this paper, a fusion method based on the nonsubsumpled contourlet transform is proposed for SAR and infrared image fusion. Simulation experiments show that this method can yield fusion image with better visual quality than discrete wavelet transform and the obtained fusion image can preserve much information of edges and textures of SAR and infrared images.

引用

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页码：398 / 401

页数：4

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