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Proceedings Paper

A remotely sensed image fusion method based on non-subsampled contourlet transform and human visual system
Author(s): Bo Cheng; Ying Zhan; Jingtao Zhang
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Paper Abstract

Focusing on the fusion problem of the multispectral (Ms) and panchromatic (Pan) images from the same scene, a novel image fusion method is proposed based on nonsubsampled contourlet transform (NSCT) and human visual system (HVS). The most traditional fusion methods are IHS, PCA and Brovey transforms, which can bring the phenomenon of spectral distortion. Avoiding this problem, the wavelet transform is usually used in image fusion in recent years, but it only can capture limited directional information. Compared with the wavelet and other transforms, the contourlet transform has the characteristics of multi-scale, time-frequency localization and multi-directions. However, due to the lack of translation invariance of the contourlet transform, this paper uses the nonsubsampled contourlet transform. The basic procedure consists of four steps. Firstly, the NSCT is performed on Pan image and the intensity component I of Ms image with HIS transform, which can obtain the low frequency subband and highpass directional coefficients of each image. Then a new fusion rule is presented based on HVS: corresponding low frequency and highpass components are divided into several blocks, and contrast variance of every block is calculated, followed by a selection of an adaptive threshold which can be used to construct the new low frequency and highpass components. The blocks with higher contrast variance will be chosen. Thirdly, the new intensity component Inew with high spatial resolution is obtained by performing the inverse NSCT on the attained coefficients. Finally, the inverse IHS using Inew component is performed and the new fused multispectral image is obtained. According to the quantitative evaluation criteria, it is shown that the proposed method can effectively preserve spectral information, improve spatial information of the fused image, and outperform the traditional IHS, PCA, Brovey, wavelet and contourlet methods.

Paper Details

Date Published: 3 November 2010
PDF: 8 pages
Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401Y (3 November 2010); doi: 10.1117/12.872964
Show Author Affiliations
Bo Cheng, Ctr. for Earth Observation and Digital Earth (China)
Ying Zhan, China Land Surveying and Planning Institute (China)
Jingtao Zhang, Ctr. for Earth Observation and Digital Earth (China)
Graduate Univ. of the Chinese Academy of Sciences (China)

Published in SPIE Proceedings Vol. 7840:
Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality
Huadong Guo; Changlin Wang, Editor(s)

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