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基于小波变换的多源遥感图像的信息融合
引用本文:谢永华,傅德胜.基于小波变换的多源遥感图像的信息融合[J].遥感技术与应用,2001,16(4):260-263.
作者姓名:谢永华  傅德胜
作者单位:南京气象学院计算机科学与技术系,
摘    要:图像融合是一种重要的增强图像信息的技术方法,如何对同一目标的多源遥感图像数据进行有效的融合,最大限度地利用多源遥感数据中的有用信息,提高系统的正确识别,判断和决策能力,这是遥感数据融合的重要内容之一,提出了一咱基于小波变换的融合方法,使得融合图像在最大限度保留了多波段光谱信息的同时,提高了清晰度和空间分辨率,并对实验结果运用MATLAB语言进行了仿真,从几个方面对结果做了深入的分析与对比,取得了良好的效果。》

关 键 词:数据融合  小波变换  MALLAT算法  多源遥感图像  信息融合
文章编号:1004-0323(2001)04-0260-04
修稿时间:2001年9月13日

Multi-Source Remote Sensing Image Data Fusion Based on Wavelet Transformation
XIE Yong-hua,FU De-sheng.Multi-Source Remote Sensing Image Data Fusion Based on Wavelet Transformation[J].Remote Sensing Technology and Application,2001,16(4):260-263.
Authors:XIE Yong-hua  FU De-sheng
Abstract:Image fusion is one of the important techniques to enhance image information of remote sensing. How to make efficient data fusion for multi-source remote sensing image of the same object, make the best of the useful information, improve the system's ability of correct recognition, judgement and decision, is an important aspect of data fusion research. This paper introduces one image data fusion method based on wavelet transformation. In the fusion image, all the multi-spectral characteristics have been preserved, and the definition and the spatial quality of multi-spectral image have been improved. The results were fully analyzed and discussed. Satisfactory effect has been obtained while applying MATLAB language to analyze the result of the experiments.
Keywords:Multi-source image  Data fusion  Wavelet transformation  Mallat algorithm
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