Paper
14 October 2008 Multidirectional decomposition and directional contrast based remote sensing images fusion
Yan Na, Manfred Ehlers, Jie Meng, Zhe Yang
Author Affiliations +
Abstract
Multi-directional decomposition and directional contrast based remote sensing images fusion algorithm is presented in this paper. Based on the properties of band contrast processing and contrast orientation of visual receptive fields, multi-directional contrast is introduced. The fusion procedure is as follows: first, Nonsubsampled Contourlet Transform of Panchromatic and multi-spectral images, second, construction of directional contrast sequences at different decomposition levels and different directions, third, construction of fused Nonsubsampled Contourlet Transform coefficients with multi-directional contrast fusion rule. Finally, a fused high spatial resolution multi-spectral image can be obtained with inverse Nonsubsampled Contourlet Transform. Experiment results show that multi-directional decomposition and directional contrast based remote sensing images fusion method can provide a very good fusion image. This method is better than ordinary wavelet transform based directional contrast fusion method. The fused multi-spectral image can provides more spatial information and preserve more spectral information.
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Yan Na, Manfred Ehlers, Jie Meng, and Zhe Yang "Multidirectional decomposition and directional contrast based remote sensing images fusion", Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71100U (14 October 2008); https://doi.org/10.1117/12.800771
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KEYWORDS
Image fusion

Wavelet transforms

Remote sensing

Image resolution

Spatial resolution

Sensing systems

Visual system

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