Paper Info
Title
A new method for merging IKONOS panchromatic and multispectral image data
Abstract
One objective of image fusion in remote sensing is to obtain high-resolution multispectral images that can combine the spectral characteristic of the low-resolution multispectral images with the spatial information of the high-resolution panchromatic images. Classical fusion methods such as IHS, PCA and Brovey, often face spectral distortion problems during the fusion process, which affect the accuracy of the further process and analysis. The latest developing wavelet based fusion methods preserve good spectral information, but its spatial visual effects are not satisfactory. In this paper, a new method based on resolution degradation model is proposed to minimize the spectral distortion while keeping the same spatial resolution as the panchromatic images. In order to compare the spatial and spectral effects of the new method with those of IHS, PCA, Brovey and Wavelet based methods, we use IKONOS panchromatic and multispectral images as the test data, and some quantitative measures are applied to assess the quality of fused images. The results show that the new method can keep almost the same spatial resolution as the panchromatic images, and its spectral effect is as well as that of wavelet based fusion methods. © 2005 IEEE.
Year
DOI
Venue
2005
10.1109/IGARSS.2005.1525767
IGARSS
Keywords
Field
DocType
remote sensing,spectral distortion,image fusion,ihs,ikonos,resolution degradation model,spatial information,multispectral images,merging,high resolution,low resolution,spatial resolution,multispectral imaging,image resolution,principal component analysis,degradation
Computer vision,Image fusion,Computer science,Panchromatic film,Multispectral image,Remote sensing,Artificial intelligence,Merge (version control),Image resolution,Principal component analysis
Conference
Volume
Issue
ISSN
6
null
2153-6996
ISBN
Citations 
PageRank 
0-7803-9050-4
2
0.45
References 
Authors
5
4
Name
Order
Citations
PageRank
Junli Li150.90
Jian-Cheng Luo29920.75
Dong-Ping Ming38910.68
Zhanfeng Shen46812.60