|本期目录/Table of Contents|

[1]林卉,杜培军,肖剑平.利用小波变换进行遥感 多光谱图像融合的算法及实现[J].地球科学与环境学报,2006,28(01):75.
　LIN Hui,DU Pei-jun,XIAO Jian-ping.Algorithm and Realization of Remote Sensing multi-spectral Image Fusion Using Wavelet Transform[J].Journal of Earth Sciences and Environment,2006,28(01):75.
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第28卷
期数:
2006年第01期
页码:
75
栏目:
出版日期:
2006-03-15

文章信息/Info

Title:
Algorithm and Realization of Remote Sensing multi-spectral Image Fusion Using Wavelet Transform
作者:
林卉1; 杜培军2; 肖剑平3
1.徐州师范大学国土信息与测绘工程系,江苏徐州221116;2.中国矿业大学 地理信息科学系,江苏徐州221008;3.武汉市勘测设计研究院,湖北武汉430022
Author(s):
LIN Hui1; DU Pei-jun2; XIAO Jian-ping 3
1. Department of Territory Resource Information and Surveying Engineering, Xuzhou Normal University, Xuzhou 221116, Jiangsu, China; 2. Department of Environment and Spatial Information, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China; 3. Wuhan Design and Research Institute of Exploration and Surveying, Wuhan 430022, Hubei, China
关键词:
图像融合; 小波变换; 分解与重建; 区域
Keywords:
image fusion;  wavelet transform;  decomposition and reconstruction;  area
分类号:
P23;TP75
DOI:
-
文献标志码:
A
摘要:
在分析了小波变换的分解与重建方法后,提出了一种基于区域的图像增强算法。先提取出源图的边 缘,以图像的边缘为参考,围绕边缘建立融合窗口,然后结合区域内的图像信息,应用基于窗口的融合规则进行 融合处理。实验结果显示,融合后的图像综合了3幅源图像的不同特征,处理后的图像变得容易识别了。表明 该方法保持了尽可能多的原始信息,算法简单,稳定性好,适合于多光谱遥感图像识别、医学成像等领域。
Abstract:
A new image fusion algorithms based on area is proposed after analyzing decomposition and reconstruction of wavelet transform method. At first, the edges of original images are extracted, which is regarded as reference, and then image fusion windows are established surrounding edges. Furthermore,images information within area is integrated with fusion processing conducted by applying fusion rule based on window. The experiment result shows that fused image synthesizes different character of three original images. At the same time, the result indicates this method has kept the primitive information as many as possible, the algorithm is simple, the stability is good, which is suitable for the field of the remote sensing pattern recognition and the medical formation of image, etc.

参考文献/References:

[1] Bru no Garguet-duport，Jach y Girel，Jean-Marc Chass ery，et al. The Use of Mu lt i-resolu t-ion Analysi s and Wavelets Transf orm f or M erging SPOT Panch romatic and Mu lti-s pect ral Image dat a[J] . Ph otog rammet ric En gineering and Remot e S ensing，1996，62(9):1057 1066.
[2] David A Yocky. Image Mergin g and Dat a Fu sion by Means of the Dis crete T w o-dimensional Wavelet Transf orm[J] . J Opt S oc Am A，1995，12(9):1834 1841.
[3] LiH，Manjunath B S，M i t ra S K. Mul tesensor Image Fusion Using the Wavelet Transf orm[J] . Graphical Models and Image P rocessing，1995，57(3):235 245.
[4] 王智均，李德仁. 利用小波变换对影像进行 融合的研究[J] . 武 汉测绘科技大学学报，2000, 25(2):137 141.
[5] 邱志成. 遥感图像数 据复合方 法的研究[J] . 测绘 学报，1990， 19(4):290 297.
[6] 杨福生. 小波变换的工程分析与应用[M] . 北京 :科学出版社， 1999.
[7] 邵巨良. 小波理论 、影像分析与目标识 别[M] . 北 京 :测绘出版 社，1998.
[8] 李克鲁，王 霞. 小波变换的信息融合方法 及结果评价[J] . 国 土资源遥感，1999(4):46 52.

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备注/Memo

备注/Memo:
[收稿日期]2005-04-09
[基金项目]国家自然科学基金项目(49971055);江苏省高校自然基金项目(04KJD420193);徐州师范大学重点基金项目(04XLA12)
[作者简介]林卉(1973-),男,湖南武岗人,讲师,从事摄影测量与遥感图像处理教学和研究。
更新日期/Last Update: 2006-03-20