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应用科学学报 ›› 2005, Vol. 23 ›› Issue (5): 548-550.

• 研究简报 • 上一篇    

基于小波的遥感影像特征信息融合模式研究

付炜, 邢广忠, 侯蓝田, 王文君   

  1. 燕山大学信息学院, 山东秦皇岛 066004
  • 收稿日期:2004-05-14 修回日期:2004-08-30 出版日期:2005-09-30 发布日期:2005-09-30
  • 作者简介:付炜(1949-),男,山东青岛人,教授,博导,E-mail:xyweifu@sina.com
  • 基金资助:
    国家自然科学基金资助项目(69662001)

Wavelet Based Fusion Model of Feature Information in Remote Sensing Images

FU Wei, XING Guang-zhong, HOU Lan-tian, WANG Wen-jun   

  1. Institute of Information, Yanshan University, Qinhuangdao 066004, China
  • Received:2004-05-14 Revised:2004-08-30 Online:2005-09-30 Published:2005-09-30

PDF

56

被引次数

2

摘要： 在数字图像小波多分辨率分析的理论基础上,采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强,然后与多光谱遥感图像进行特征信息融合.在融合过程中,首先对多光谱图像中的R、G、B 3个波段的图像进行小波分解,得到相应的低频图像,并对特征增强后的高分辨率图像进行小波分解,再将分解后的高频图像分别与低频图像进行融合,然后经RGB合成为彩色图像.该方法既改善了图像的清晰度和分辨率,同时也保留了原图像的光谱信息.最后通过融合实验验证了上述结论.

关键词: 小波变换, 影像边缘增强, 特征信息融合

Abstract: Fusion of feature information in remote sensing (RS) images is generally based upon spectral and texture features in object images.This paper presents a feature fusion approach to RS images after enhancement of edges in the remote sensing image with multi-resolution wavelet analysis.The image resolution is improved. Instead of the conventional HIS-wavelet fusion, fusion processes of the low frequent components of the RGB channels and the high frequency components, both obtained with wavelet decomposition, are performed separately, and a new fusion image is composed of the new RGB channels.In this way, not only resolution of the multi-spectral image is improved, but also color features, which are important for multi-spectral fusion, are retained.Effectiveness of the proposed method is verified with experimental results.

Key words: image edge enhancement, wavelet transform, feature information fusion

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