北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (4): 709-719.doi: 10.13700/j.bh.1001-5965.2016.0311

• 论文 • 上一篇    下一篇

基于框架域的随机游走全色锐化方法

王敬凯, 杨小远   

  1. 北京航空航天大学 数学与系统科学学院, 北京 100083
  • 收稿日期:2016-04-18 出版日期:2017-04-20 发布日期:2016-08-01
  • 通讯作者: 杨小远,E-mail:xiaoyuanyang@vip.163.com E-mail:xiaoyuanyang@vip.163.com
  • 作者简介:王敬凯 男,博士研究生。主要研究方向:多源遥感图像融合。;杨小远 女,博士,教授,博士生导师。主要研究方向:应用调和分析与图像处理。
  • 基金资助:
    国家自然科学基金(61671002);北京市自然科学基金(4152029)

Framelet-based random walk pan-sharpening method

WANG Jingkai, YANG Xiaoyuan   

  1. School of Mathematics and Systems Science, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2016-04-18 Online:2017-04-20 Published:2016-08-01

摘要: 针对多光谱图像与全色图像的融合问题,提出了一种新的全色锐化方法。该方法首先通过亮度、色调、饱和度(IHS)变换与非下采样框架变换将原图像从空间域变换到框架域,然后利用基于图论的随机游走,建立高频框架系数的统计融合模型。此模型根据高频框架系数的邻域相关性与尺度相关性构造新的随机游走协调函数,将高频框架系数融合权重的估计转化为随机游走标记问题的求解。实验结果表明,该方法有利于保持图像的光谱信息和边缘轮廓信息,可以在降低融合图像光谱误差的同时提高空间分辨率,并且优于一些主流全色锐化方法。

关键词: 全色锐化, 框架变换, 随机游走, 多光谱图像, 全色图像

Abstract: A novel pan-sharpening method was proposed for the fusion of multispectral image and panchromatic image. First, the original image was transformed from spatial domain to framelet domain by intensity, hue, saturation (IHS) transform and non-subsampled framelet transform. Second, the statistical fusion model of high frequency framelet coefficients was established with the random walk method based on graph theory. On basis of the neighborhood correlation and scale correlation of high frequency framelet coefficients, the novel compatibility function for random walk was constructed. Finally, the fusion weight estimation of high frequency framelet coefficients was translated into the solution of the random walk labeled problem. Experimental results show that the proposed method is beneficial to keep the spectral information and edge contour information of the image. It can reduce the spectral distortion while improve the spatial resolution simultaneously, and it outperforms the other state-of-the-art pan-sharpening methods.

Key words: pan-sharpening, framelet transform, random walk, multispectral image, panchromatic image

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