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Adaptive image fusion algorithm of SAR/CCD images based on wavelet transform

  • Guangfang Wang*
  • , Long Zhao
  • , Zhe Chen
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An adaptive image fusion algorithm of SAR/CCD images based on wavelet transform is proposed. In this algorithm an adaptive operator is defined, which is gotten from the two source images' cross-entropy. The operator is used to adjust coefficients of the low-frequency and high-frequency images' fusion, so as to achieve the purpose of adaptability. For the decomposed low-frequency and high-frequency, local spatial frequency and local variance are taken as measures respectively, which unify the adaptive operator to obtain the fused low-frequency and high-frequency. Experimental simulation is carried out to get the fuse effect by contrast with other three types of fusions algorithm. The results show that this algorithm has the stable fuse effect and strong adaptability.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages9694-9698
Number of pages5
DOIs
StatePublished - 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2

Conference

Conference6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/TerritoryChina
CityDalian
Period21/06/0623/06/06

Keywords

  • Adaptive operator
  • CCD
  • Image fusion
  • SAR
  • Wavelet transform

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