A Thermal Infrared and Visible Images Fusion Based Approach for Multitarget Detection under Complex Environment
Joint Authors
Fan, Xinnan
Shi, Pengfei
Li, Min
Ni, Jianjun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Multitarget detection under complex environment is a challenging task, where the measured signal will be submerged by noise.
D-S belief theory is an effective approach in dealing withMultitarget detection.
However, there are some limitations of the general D-S belief theory under complex environment.
For example, the basic belief assignment is difficult to establish, and the subjective factors will influence the update process of evidence.
In this paper, a new Multitarget detection approach based on thermal infrared and visible images fusion is proposed.
To easily characterize the defected heterogeneous image, a basic belief assignment based on the distance distribution function of heterogeneous characteristics is presented.
Furthermore, to improve the discrimination and effectiveness of the Multitarget detection, a concept of comprehensive credibility is introduced into the proposed approach and a new update rule of evidence is designed.
Finally, some experiments are carried out and the experimental results show the efficiency and effectiveness of the proposed approach in the Multitarget detection task.
American Psychological Association (APA)
Fan, Xinnan& Shi, Pengfei& Ni, Jianjun& Li, Min. 2015. A Thermal Infrared and Visible Images Fusion Based Approach for Multitarget Detection under Complex Environment. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074642
Modern Language Association (MLA)
Fan, Xinnan…[et al.]. A Thermal Infrared and Visible Images Fusion Based Approach for Multitarget Detection under Complex Environment. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074642
American Medical Association (AMA)
Fan, Xinnan& Shi, Pengfei& Ni, Jianjun& Li, Min. A Thermal Infrared and Visible Images Fusion Based Approach for Multitarget Detection under Complex Environment. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074642
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074642