28 October 2013 Best tradeoff for remote sensing image fusion based on three-dimensional variation and à trous wavelet
Author Affiliations +
J. of Applied Remote Sensing, 7(1), 073491 (2013). doi:10.1117/1.JRS.7.073491
Abstract
For à trous wavelet-based remote sensing image fusion, it is significant to determine the number of decomposition levels (NDL) to derive the best tradeoff between the spatial and spectral qualities of the fused image. The tradeoff is modeled as a cost function from a novel three-dimensional variational point of view. By solving this cost function, a new fusion scheme is proposed that can be used to customize the tradeoff by weighting the wavelet planes with a factor. The optimal NDL is decided by the intersection of the characteristic curves of the spatial and spectral qualities. Three pairs of remote sensing images are used to test the analysis. The experimental results show that the proposed method provides the practitioner with a reference for selecting the fused image with different spatial and spectral qualities for different applications.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Shao-hui Chen, Hongbo Su, Jing Tian, Chesheng Zhan, "Best tradeoff for remote sensing image fusion based on three-dimensional variation and à trous wavelet," Journal of Applied Remote Sensing 7(1), 073491 (28 October 2013). https://doi.org/10.1117/1.JRS.7.073491
JOURNAL ARTICLE
19 PAGES


SHARE
RELATED CONTENT

An adaptive PCA fusion method for remote sensing images
Proceedings of SPIE (October 14 2014)
A new method of Quickbird own image fusion
Proceedings of SPIE (October 30 2009)
Region based image fusion using SVM
Proceedings of SPIE (November 15 2007)

Back to Top