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A Novel Image Change Detection Model and Optimization Algorithm based on Game Theory under the Bounded Rationality Conditions

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.4 (2016.04)바로가기
  • 페이지
    pp.317-330
  • 저자
    Ning Wu, Harry Scott
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A273168

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원문정보

초록

영어
In this paper, we propose novel image change detection model and optimization algorithm based on game theory under the bounded rationality conditions. In the field of remote sensing image application, change detection is of the same area is analyzed by two different periods of remote sensing images, testing to determine the region in a period of change information. To enhance the traditional change detection algorithms we modify the method as the follows. Firstly, we analyze the mathematical forms of the game theory as the co-evolution has the basic characteristics of game theory and the dynamic characteristics of co-evolution through continuous evolution and eventually reaches a stable equilibrium state because of the feature. Later, we discuss the novel mathematical optimization approaches for the change detection based on the proposed game theory prior. Then, we combine independent component analysis and the bounded rationality conditions to finalize the detection algorithm. The independent component analysis is a data processing method appeared in recent years which can be as an extension of PCA and it will be the data transform into each other on the direction of the independence with higher robustness. In the experiment part, we simulate the experiment with the other state-of-the-art algorithms. The result reflects that our algorithm outperforms under various conditions and enhances the detection accuracy from 95.8% to 97.9% which has made the new breakthrough.

목차

Abstract
 1. Introduction
 2. Literature Review and Analysis
 3. The Game Theory and the Applications
 4. Mathematical Optimization for Image Processing Tasks
 5. The Proposed Change Detection Algorithm
  5.1. The Independent Component Analysis
  5.2. The Limited Rational Feature Extraction Algorithm
  5.3. The Core Procedures of the Algorithm
 6. The Experiment and Simulation
 7. Conclusion
 References

키워드

Image Change Detection Image Processing Mathematical Optimization Game Theory Bounded Rationality Conditions Ground Truth Contrast Test.

저자

  • Ning Wu [ Jilin Radio and TV University, Jilin, China ]
  • Harry Scott [ University of Massachusetts, Massachusetts, USA ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Security and Its Applications
  • 간기
    격월간
  • pISSN
    1738-9976
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

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