Abstract

A fusion approach is proposed to refine the resolution of urban multi-spectral images using the corresponding high-resolution panchromatic (PAN) images. Firstly, the two images are decomposed by wavelet transformation, and five texture features are extracted from high-frequency detailed sub-images. Then a multi-characteristics fusion rule is used to merge wavelet coefficients from the two images according to the extracted features. Experimental results indicate that, comparing with the non-characteristic methods, the proposed method can efficiently preserve the spectral information while improving the spatial resolution of the urban remote sensing images.

© 2006 Chinese Optics Letters

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  2. J. Tian, J. Chen, and C. Zhang, Proc. SPIE 5308, 824 (2004).
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IEEE Transactions on Geoscience and Remote Sensing (1)

M. Gonzalez-Audicana, J. Saleta, R. G. Catalan, and R. Garcia, IEEE Transactions on Geoscience and Remote Sensing 42, 1291 (2004).

Proc. SPIE (2)

L. Alparone, A. Garzelli, F. Nencini, B. Aiazzi, and S. Baronti, Proc. SPIE 5238, 44 (2004).

J. Tian, J. Chen, and C. Zhang, Proc. SPIE 5308, 824 (2004).

Other (2)

D. I. Morales, M. Moctezuma, and F. Parmiggiani, in Proceeding of IGARSS'03 6, 3504 (2003).

F. Berizzi, M. Martorella, G. Bertini, A. Garzelli, F. Nencini, F. Dell'Acqua, and P. Gamba, in Proceedings of IGARSS'04 1, 93 (2004).

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