Paper
23 November 2011 An adaptive remote sensing image fusion algorithm based on directionlet transform
Jing Bai, Baini Zhao, L. C. Jiao
Author Affiliations +
Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061L (2011) https://doi.org/10.1117/12.902912
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
A new adaptive remote sensing image fusion algorithm based on Directionlet transform is proposed in this paper. Directionlet transform introduces multi-directional anisotropic basic function based on integer lattice which can effectively capture the anisotropic characteristics of images. For the high-frequency multi-directional coefficients, a contrast-based criterion is adopted and the low-pass coefficients are then selected adaptively based on a weighted criterion. Experimental results show that the proposed remote sensing fusion algorithm outperforms the wavelet-based fusion algorithm, both in terms of visual effect as well as quantized objective evaluation index, which proves that this algorithm is a feasible and effective remote sensing image fusion method.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Bai, Baini Zhao, and L. C. Jiao "An adaptive remote sensing image fusion algorithm based on directionlet transform", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061L (23 November 2011); https://doi.org/10.1117/12.902912
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KEYWORDS
Image fusion

Remote sensing

Image processing

Wavelets

Visualization

Anisotropic filtering

Image information entropy

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