Remote sensing image fusion based on M-band dual-tree wavelet transform

Beibei Song

doi:10.1117/12.896067

8 July 2011 Remote sensing image fusion based on M-band dual-tree wavelet transform

Beibei Song

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800911 (2011) https://doi.org/10.1117/12.896067
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

The paper proposes a new fusion method of visible and near infrared remote sensing images based on the multidirectional and multiscale M-band dual-tree wavelet transform(DTWT). The M-band DTWT decomposition is performed on each source image, then the high-frequency subband fusion coefficients are calculated by synthesizing modulus maxima selection and weighted average based on local coefficient matching, and average rule is adopted for low-frequency coefficients fusion. Experiment results show the proposed fusion method outperforms other typical ones, no matter in visual observation and objective evaluation criterion.

Citation Download Citation

Beibei Song "Remote sensing image fusion based on M-band dual-tree wavelet transform", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800911 (8 July 2011); https://doi.org/10.1117/12.896067

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