NDLI: Fusion of high-resolution remote sensing images based on a/spl acute/ trous wavelet algorithm

Content Provider	IEEE Xplore Digital Library
Author	Junjie Zhu Huadong Guo Xiangtao Fan Yun Shao
Copyright Year	2004
Description	Author affiliation: Lab. of Remote Sensing Inf. Sci., Inst. of Remote Sensing Applications, Beijing, China (Junjie Zhu; Huadong Guo; Xiangtao Fan; Yun Shao)
Abstract	There are some problems not to be resolved very well, when we merge images by the wavelet transform method. One problem is how many levels the original images should be decomposed to, in order to make fusion images obtain more information. Other problem is how to reduce the spectral distortions of the fusion images more efficiently, when we enhance the spatial resolution of the low-resolution images. We rightly select the number of wavelet decomposition levels by computing entropy of the fusion images. When performing wavelet reconstruction, we introduce the local correlation coefficient and set up the different thresholds at different levels of wavelet decomposition, in order to reduce the spectral distortions of the fusion images. In our experiment we merge three multispectral images with a panchromatic image of Quickbird data by our method. The results demonstrate that our method is a good fusion method to increase information and reduce spectral distortions.
File Size	385597
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1369034
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Image resolution Spatial resolution Wavelet transforms Entropy Wavelet analysis Multiresolution analysis Image analysis Laboratories Image reconstruction
Content Type	Text
Resource Type	Article

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