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Proceedings Paper

An adaptive remote sensing image fusion algorithm based on directionlet transform
Author(s): Jing Bai; Baini Zhao; L. C. Jiao
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Paper 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.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061L (23 November 2011); doi: 10.1117/12.902912
Show Author Affiliations
Jing Bai, Xidian Univ. (China)
Baini Zhao, Xidian Univ. (China)
L. C. Jiao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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