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Study on adaptation of SAR/CCD image fusion algorithm

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

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

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.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing
DOIs
StatePublished - 2008
EventInternational Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing - Beijing, China
Duration: 9 Sep 200712 Sep 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6623
ISSN (Print)0277-786X

Conference

ConferenceInternational Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing
Country/TerritoryChina
CityBeijing
Period9/09/0712/09/07

Keywords

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

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