Research Papers

Best tradeoff for remote sensing image fusion based on three-dimensional variation and à trous wavelet

[+] Author Affiliations
Shaohui Chen

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle and Related Land Surface Processes, 11A, Datun Road, Chaoyang District, Beijing 100101, China

Hongbo Su

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle and Related Land Surface Processes, 11A, Datun Road, Chaoyang District, Beijing 100101, China

Jing Tian

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle and Related Land Surface Processes, 11A, Datun Road, Chaoyang District, Beijing 100101, China

Chesheng Zhan

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle and Related Land Surface Processes, 11A, Datun Road, Chaoyang District, Beijing 100101, China

J. Appl. Remote Sens. 7(1), 073491 (Oct 28, 2013). doi:10.1117/1.JRS.7.073491
History: Received February 20, 2013; Revised August 7, 2013; Accepted October 2, 2013
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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.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Shaohui Chen ; Hongbo Su ; Jing Tian and Chesheng Zhan
"Best tradeoff for remote sensing image fusion based on three-dimensional variation and à trous wavelet", J. Appl. Remote Sens. 7(1), 073491 (Oct 28, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073491


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