A pixel-level multisensor image fusion algorithm based on fuzzy logic

Long Zhao; Baochang Xu; Weilong Tang; Zhe Chen

A pixel-level multisensor image fusion algorithm based on fuzzy logic

Long Zhao^*
, Baochang Xu
, Weilong Tang
, Zhe Chen

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University

科研成果: 期刊稿件 › 会议文章 › 同行评审

12 引用（Scopus）

摘要

A new multisensor image fusion algorithm based on fuzzy logic is proposed. The membership function and fuzzy rules of the new algorithm is defined using the Fuzzy Inference System (FIS) editor of fuzzy logic toolbox in Matlab 6.1. The new algorithm is applied to fuse Charge-Coupled Device (CCD) and Synthetic Aperture Rader (SAR) images. The fusion result is compared with some other fusion algorithms through some performance evaluation measures for the fusion effect, and the. comparison results show that the new algorithm is effective.

源语言	英语
页（从-至）	717-720
页数	4
期刊	Lecture Notes in Computer Science
卷	3613
期	PART I
出版状态	已出版 - 2005
活动	Second International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsha, 中国期限: 27 8月 2005 → 29 8月 2005

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abstract = "A new multisensor image fusion algorithm based on fuzzy logic is proposed. The membership function and fuzzy rules of the new algorithm is defined using the Fuzzy Inference System (FIS) editor of fuzzy logic toolbox in Matlab 6.1. The new algorithm is applied to fuse Charge-Coupled Device (CCD) and Synthetic Aperture Rader (SAR) images. The fusion result is compared with some other fusion algorithms through some performance evaluation measures for the fusion effect, and the. comparison results show that the new algorithm is effective.",

author = "Long Zhao and Baochang Xu and Weilong Tang and Zhe Chen",

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AU - Zhao, Long

AU - Xu, Baochang

AU - Tang, Weilong

AU - Chen, Zhe

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N2 - A new multisensor image fusion algorithm based on fuzzy logic is proposed. The membership function and fuzzy rules of the new algorithm is defined using the Fuzzy Inference System (FIS) editor of fuzzy logic toolbox in Matlab 6.1. The new algorithm is applied to fuse Charge-Coupled Device (CCD) and Synthetic Aperture Rader (SAR) images. The fusion result is compared with some other fusion algorithms through some performance evaluation measures for the fusion effect, and the. comparison results show that the new algorithm is effective.

AB - A new multisensor image fusion algorithm based on fuzzy logic is proposed. The membership function and fuzzy rules of the new algorithm is defined using the Fuzzy Inference System (FIS) editor of fuzzy logic toolbox in Matlab 6.1. The new algorithm is applied to fuse Charge-Coupled Device (CCD) and Synthetic Aperture Rader (SAR) images. The fusion result is compared with some other fusion algorithms through some performance evaluation measures for the fusion effect, and the. comparison results show that the new algorithm is effective.

UR - https://www.scopus.com/pages/publications/26944450907

M3 - 会议文章

AN - SCOPUS:26944450907

SN - 0302-9743

VL - 3613

SP - 717

EP - 720

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART I

T2 - Second International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005

Y2 - 27 August 2005 through 29 August 2005

ER -

A pixel-level multisensor image fusion algorithm based on fuzzy logic

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