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一种基于区域特征动态加权的自适应图像融合方法
引用本文:刘哲,任金昌,李言俊. 一种基于区域特征动态加权的自适应图像融合方法[J]. 计算机应用研究, 2002, 19(4): 85-86,90
作者姓名:刘哲  任金昌  李言俊
作者单位:1. 西北工业大学,数学与信息科学系,陕西,西安,710072
2. 西北工业大学,计算机科学与工程系,陕西,西安,710072
3. 西北工业大学,航天工程学院,陕西,西安,710072
摘    要:提出了一种基于区域特征动态加权的自适应遥感图像融合方法。该方法首先由输入图像得到其高频、低频图像;进而分别选取一组区域特征进行自适应动态加权,得到相应的高频和低频融合结果;最后,基于一致性准则由高低频融合结果得到最终的融合结果,通过对SAR和TM图像的融合实验,验证了该方法在信息量,边界保持及融合结果一致性方面具有显著优势。

关 键 词:区域特征 动态加权 自适应图像融合 计算机
文章编号:1001-3695(2002)04-0085-02

A Self-Adaptive Image Fusion Method Based on Dynamic Weighting of Regional Features
LIU Zhe ,REN Jin chang ,LI Yan jun. A Self-Adaptive Image Fusion Method Based on Dynamic Weighting of Regional Features[J]. Application Research of Computers, 2002, 19(4): 85-86,90
Authors:LIU Zhe   REN Jin chang   LI Yan jun
Affiliation:LIU Zhe 1,REN Jin chang 2,LI Yan jun 3
Abstract:In this paper, a self adaptive fusion method based on dynamic weighting of regional features is proposed. Firstly, each original image is divided into high frequency and low frequency images, according to which, a set of regional features are extracted respectively. Secondly, self adaptive fusion is applied to the corresponded high or low frequency images by dynamic weighting of the extracted features. Thirdly, the final result image is generated based on coherence comparison of its high and frequency images obtained before. By fusion experiments of SAR and TM images, it appears that the proposed method has apparent advantage in reservation of information and boundary as well as neighboring coherence.
Keywords:Image Fusion  Regional Features  Dynamic Weighting  Self adaptive Fusion
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