Preformance evaluation of several fusion approaches for CCD/SAR images |
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Authors: | Wang Yan-li and Chen Zhe |
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Institution: | (1) School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, 100083 Beijing, P. R. China |
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Abstract: | Several image fusion approaches for CCD/SAR images are studied and the performance evaluation of these fusion approaches is
completed in this paper. Firstly, the preprocessing of CCD/SAR images before fusion is fulfilled. Then, the image fusion methods
including linear superposition, nonlinear operator method and multiresolution methods, of which the multiresolution methods
include Laplacian pyramid, ratio pyramid, contrast pyramid, gradient pyramid, morphological pyramid and discrete wavelet transform,
are adopted to fuse two types of images. Lastly, the four performance measures, standard deviation, entropy, cross entropy
and spatial frequency, are calculated to compare the fusion results by different fusion approaches in this paper. Experimental
results show that contrast pyramid, morphology pyramid and discrete wavelet transformation in multiresolution approaches are
more suitable for CCD/SAR image fusion than other ones proposed in this paper and the objective performance evalution of CCD/SAR
image fusion approaches are effective.
Foundation item: Under the auspices of Astronautical Innovation Fund of China.
Biography: WANG Yan-li (1977 – ), female, a native of Xi’an City, Shaanxi Province, Ph. D. candidate of School of Automation
Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, specialized in scene matching, image
registration and fusion. |
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Keywords: | image fusion performance evaluation CCD image SAR image |
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