Infrared target recognition based on support vector machine

Fang Zi; Ke Zhang; Dawei Zhao

doi:10.1117/12.658202

Infrared target recognition based on support vector machine

Fang Zi
, Ke Zhang
, Dawei Zhao

School of Astronautics

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Conference article › peer-review

Abstract

Support vector machine (SVM) can effectively improve the algorithm's generalization capability. This paper proposes a support vector machine target recognition method based on the target infrared feature and edge invariant moments. The simulation result shows it is faster than others. The discrimination is higher than the K-nearby method's one.

Original language	English
Article number	59853M
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5985 PART II
DOIs	https://doi.org/10.1117/12.658202
State	Published - 2005
Event	International Conference on Space Information Technology - Wuhan, China Duration: 19 Nov 2005 → 20 Nov 2005

Keywords

Infrared image
Support vector machine
Target recognition

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10.1117/12.658202

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@article{1c7beb8f904748369666d5ec5f292a33,

title = "Infrared target recognition based on support vector machine",

abstract = "Support vector machine (SVM) can effectively improve the algorithm's generalization capability. This paper proposes a support vector machine target recognition method based on the target infrared feature and edge invariant moments. The simulation result shows it is faster than others. The discrimination is higher than the K-nearby method's one.",

keywords = "Infrared image, Support vector machine, Target recognition",

author = "Fang Zi and Ke Zhang and Dawei Zhao",

year = "2005",

doi = "10.1117/12.658202",

language = "英语",

volume = "5985 PART II",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "International Conference on Space Information Technology ; Conference date: 19-11-2005 Through 20-11-2005",

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TY - JOUR

T1 - Infrared target recognition based on support vector machine

AU - Zi, Fang

AU - Zhang, Ke

AU - Zhao, Dawei

PY - 2005

Y1 - 2005

N2 - Support vector machine (SVM) can effectively improve the algorithm's generalization capability. This paper proposes a support vector machine target recognition method based on the target infrared feature and edge invariant moments. The simulation result shows it is faster than others. The discrimination is higher than the K-nearby method's one.

AB - Support vector machine (SVM) can effectively improve the algorithm's generalization capability. This paper proposes a support vector machine target recognition method based on the target infrared feature and edge invariant moments. The simulation result shows it is faster than others. The discrimination is higher than the K-nearby method's one.

KW - Infrared image

KW - Support vector machine

KW - Target recognition

UR - https://www.scopus.com/pages/publications/33644560301

U2 - 10.1117/12.658202

DO - 10.1117/12.658202

M3 - 会议文章

AN - SCOPUS:33644560301

SN - 0277-786X

VL - 5985 PART II

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 59853M

T2 - International Conference on Space Information Technology

Y2 - 19 November 2005 through 20 November 2005

ER -

Infrared target recognition based on support vector machine

Abstract

Keywords

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