Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2006, Vol. 21 Issue (1): 67-70    DOI: 10.11873/j.issn.1004-0323.2006.1.67
article     
Information Influence on QuickBird Images by Brovey Fusion and Wavelet Fusion
ZHANG Ning-yu1 , WU Quan-yuan2
( 1. Maths and Physics Dept of Shandong Institute of Architecture and Engineering, Ji'nan 250101, China;2. Population Resour ces and Environment College of Shandong Normal University , Ji'nan 250014, China)
Download:  PDF (0KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

Image fusion is the most effective technological means to deal with multi-sources remote sensing images. Choosing the best fusion is a key to improve the picture quality according to different data sources. This paper tests to merge panchromatic wave band images and multi-spectrum wave band images  of QuickBird on the basis of the theory, algorithm and the merging course of Brovey fusion and Wavelet fusion, then analyzes and evaluates the two merging results from quality and uant ity respectively .Qualitative analysis includes hue, texture and definition, and quantitative analysis includes entropy ,averageg radient and spectrum authenticity . The testing result shows: the image adopting Wavelet fusion keeps higher resolut ion ratio and better spectrum character ; the image adopting Brovey fusion may keeps high resolution ratio, but spectrum information loses relatively heavy , so Brovey fusion is not suitable for dealing with QuickBird remote sensing images.

Key words:   Brovey       Wavelet       QuickBird      Image fusion     
Received:  13 May 2005      Published:  27 September 2011
TP 75  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

ZHANG Ning-yu , WU Quan-yuan. Information Influence on QuickBird Images by Brovey Fusion and Wavelet Fusion. Remote Sensing Technology and Application, 2006, 21(1): 67-70.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2006.1.67     OR     http://www.rsta.ac.cn/EN/Y2006/V21/I1/67

 


〔1〕 罗敬宁, 范一大, 史培军, 等. 多源遥感数据沙尘暴强度监测的信息可比方法〔J〕.自然灾害学报, 2003, 12( 2) : 28~34.
〔2〕 张杰林, 刘德长, 曹代勇. 基于遥感数据融合的水系特征定量化分析方法及其应用〔J〕.遥感技术与应用, 2004, 19( 1) : 1~4.
〔3〕 Vrabel J. Multi-spectral Imagery Advanced Band Sharpening Study〔J〕.PE&RS, 2000, 66( 1) : 73~79.
〔4〕 瞿继双, 王超, 王正志. 基于数据融合的遥感图像处理技术〔J〕.中国图像图形学报, 2002, 7A( 10) : 985~993.
〔5〕 陆立明. 一种基于HT 系数预测的遥感图像多分辨融合方法〔J〕.遥感技术与应用, 2001, 16( 2) : 116~120.
〔6〕 Kumar A S, Kartikeyan B, Majumdar K L . Band Sharpening of IRS Multispectral Imagery by Cubic Spine Wavelets 〔J〕.
INT J Remote Sensing, 2000, 21( 3) : 581~594.
〔7〕 吴连喜, 王茂新. 一种光谱保持型的图像融合方法〔J〕.遥感学报, 2004, 8( 4) : 356~360.
〔8〕 覃征, 鲍复民. 数字图像融合〔M 〕. 西安: 西安交通大学出版社, 2004.

No Suggested Reading articles found!