20 August 2010 An improved fusion of IHS based on wavelet for high resolution images
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Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78201Z (2010); doi: 10.1117/12.866756
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
Abstract
In recent years, Multi-sources data fusion techniques have already been an International research hotspot in Remote Sensing. To date, many image fusion techniques have been developed. However, the available algorithms can hardly produce a satisfactory fusion result for high resolution images. Among the existing fusion algorithms, the IHS technique is the most widely used one, and the wavelet fusion is the most frequently discussed one in recent publications because of its advantages over other fusion techniques. But the shortcome of colour distortion and low resolution in many field is often obvious, especially when QuickBird natural colour multispectral images are fused with its panchromatic images. In this paper, an improved fusion of IHS based on wavelet is proposed. At the same time ,From the result of this experiment proves that the concept of the proposed improved fusion is promising, and it does significantly improve the fusion quality compared to conventional IHS and wavelet transform fusion techniques.
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Yi Feng, Beiping Wu, Yingchun Yue, "An improved fusion of IHS based on wavelet for high resolution images", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201Z (20 August 2010); doi: 10.1117/12.866756; https://doi.org/10.1117/12.866756
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KEYWORDS
Image fusion

Wavelets

Image resolution

Wavelet transforms

Image information entropy

Multispectral imaging

Remote sensing

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