A cooperative fusion method of multi-sensor image based on grey relational analysis

Runping Xi, Liangshui Jin, Yanning Zhang, Fujun Zhang, Gen Yang, Miao Ma

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

Abstract

Current multi-sensor image fusion algorithms have difficulties working at many different scenes. In this paper, a cooperative fusion algorithm based on the grey correlation theory and automatic evaluation feedback is proposed in order to achieve better fusion results. A synergetic mechanism is introduced to adjust the algorithm parameters for better fusion results. Experiments show that the collaborative integration of the results is consistent with the subjective evaluation of human eyes.

Original languageEnglish
Title of host publicationIntelligence Science and Big Data Engineering
Subtitle of host publicationImage and Video Data Engineering - 5th International Conference, IScIDE 2015, Revised Selected Papers
EditorsXiaofei He, Zhi-Hua Zhou, Xinbo Gao, Zhi-Yong Liu, Yanning Zhang, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang
PublisherSpringer Verlag
Pages370-379
Number of pages10
ISBN (Print)9783319239873
DOIs
StatePublished - 2015
Event5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015 - Suzhou, China
Duration: 14 Jun 201516 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9242
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015
Country/TerritoryChina
CitySuzhou
Period14/06/1516/06/15

Keywords

  • Automatic evaluation
  • Cooperative fusion
  • Grey relational analysis

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