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Proceedings Paper

Study on adaptation of SAR/CCD image fusion algorithm
Author(s): Long Zhao; Guangfang Wang
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Paper Abstract

An adaptive operator which can be used generally in image fusion algorithm of SAR/CCD images is proposed. The operator is gotten from the two source images' cross-entropy, and it can be used in popular image fusion algorithm to accomplish adaptivity. For traditional pyramid image fusion algorithm, the operator optimizes image fusion rules by effecting in each decomposed level, and for image fusion based on wavelet transform, the operator let algorithms achieve adaptivity by adjusting wavelet coefficients of the low-frequency sub-images' fusion and high-frequency sub-images' fusion. Experimental simulation is carried out to get the fuse effect by contrast each original algorithm with the algorithms using the adaptive operator. The results show that the image fusion algorithms improved by the adaptive operator have stable fuse effect and strong adaptability.

Paper Details

Date Published: 5 March 2008
PDF: 8 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230P (5 March 2008); doi: 10.1117/12.791415
Show Author Affiliations
Long Zhao, Beijing Univ. of Aeronautics and Astronautics (China)
Guangfang Wang, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing

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