基于边缘特征的遥感影像小波变换融合法

高飞; 宫鹏; 吴兆福

doi:10.11867/j.issn.1001-8166.2005.07.0705

地球科学进展 >

2005 , Vol. 20 >Issue 7: 705 - 709

DOI: https://doi.org/10.11867/j.issn.1001-8166.2005.07.0705

研究论文

基于边缘特征的遥感影像小波变换融合法

高飞 ,
宫鹏 ,
吴兆福

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1.南京大学城市与资源学系，江苏南京 210093；
2.合肥工业大学土木建筑工程学院，安徽合肥 230009；
3.伯克利加州大学环境科学、政策与管理系，美国加利福尼亚

吴兆福（1972-），男，安徽庐江人，讲师，博士研究生，主要从事遥感影像数据处理、GPS与地理信息系统的研究与应用等.E-mail: wzfhh@163.com

收稿日期: 2004-07-02

修回日期: 2005-03-21

网络出版日期: 2005-07-25

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WAVELET TRANSFORMATION METHOD OF REMOTE SENSING-IMAGES FUSION BASED ON EDGE FEATURES

GAO Fei ,
GONG Peng ,
WU Zhao-fu

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1. Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, China；
2. School of Civil Engineering, Hefei University of Technology, Hefei 230009, China；
3. Department of ESPM, University of California Berkeley, California, USA

Received date: 2004-07-02

Revised date: 2005-03-21

Online published: 2005-07-25

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摘要

如何将不同空间分辨率遥感影像合理有效地融合在一起，保持原始多光谱影像的光谱特性，提高影像的分类精度和空间分解力，这是遥感影像数据融合处理的热点研究问题。在对原始遥感影像进行小波变换的基础上，提取高空间分辨率影像边缘特征信息，并与原始多光谱影像进行了融合处理。以IRS、SPOT和ETM卫星影像为资料进行实验，结果表明，该方法在提高影像的空间分辨率的同时，能够很好地保持影像的光谱特性，尤其在空间分辨率差异较大的影像融合中，该方法在保持影像光谱特性方面要优于其他的融合方法。

关键词： 边缘特征; 小波变换; 数据融合

本文引用格式

高飞 , 宫鹏 , 吴兆福 . 基于边缘特征的遥感影像小波变换融合法[J]. 地球科学进展, 2005 , 20(7) : 705 -709 . DOI: 10.11867/j.issn.1001-8166.2005.07.0705

Abstract

How to fuse all kinds of images with various spatial resolution, to retain its spectral character, and to improve classification accuracy and spatial resolution is a hotspot in data fusion on remote sensing images. Based on wavelet transformation, the paper has extracted edge information of high spatial resolution image, and fused it with multi-spectral images. We chose IRS, SPOT and ETM images to do this experiment. The experimental results showed that it could improve spatial resolution of the multi-spectral images, while at the same time it also could retain spectral character very well with the method. Furthermore it is superior to other methods based on wavelet transformation in data fusion on remote sensing images with high spatial resolution difference.

Key words： Edge features; Wavelet transformation; Data fusion.

参考文献

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