Remote sensing target recognition based on particle swarm classifier

Xiao Hui Xu; An Zhang; Jing Shun Duanmu; Qin Xia Hao

Remote sensing target recognition based on particle swarm classifier

Xiao Hui Xu, An Zhang, Jing Shun Duanmu, Qin Xia Hao

School of Aeronautics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The particle swarm classifier is designed for radar target recognition in remote images. After me data pretreament, the classification rules are extracted by particle swarm optimization algorthm using training samples, and the remote sensing image target is recognized afterwards by using the rules. Experimental results on the remote sensing image data of airplanes and warships show that the proposed method has a higher performance in recognizing remote sensing target.

Original language	English
Pages (from-to)	551-554
Number of pages	4
Journal	Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
Volume	36
Issue number	4
State	Published - Aug 2007

Keywords

Classifier
Particle swarm optimization
Remote sensing image
Target recognition

Cite this

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title = "Remote sensing target recognition based on particle swarm classifier",

abstract = "The particle swarm classifier is designed for radar target recognition in remote images. After me data pretreament, the classification rules are extracted by particle swarm optimization algorthm using training samples, and the remote sensing image target is recognized afterwards by using the rules. Experimental results on the remote sensing image data of airplanes and warships show that the proposed method has a higher performance in recognizing remote sensing target.",

keywords = "Classifier, Particle swarm optimization, Remote sensing image, Target recognition",

author = "Xu, {Xiao Hui} and An Zhang and Duanmu, {Jing Shun} and Hao, {Qin Xia}",

year = "2007",

month = aug,

language = "英语",

volume = "36",

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journal = "Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering",

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T1 - Remote sensing target recognition based on particle swarm classifier

AU - Xu, Xiao Hui

AU - Zhang, An

AU - Duanmu, Jing Shun

AU - Hao, Qin Xia

PY - 2007/8

Y1 - 2007/8

N2 - The particle swarm classifier is designed for radar target recognition in remote images. After me data pretreament, the classification rules are extracted by particle swarm optimization algorthm using training samples, and the remote sensing image target is recognized afterwards by using the rules. Experimental results on the remote sensing image data of airplanes and warships show that the proposed method has a higher performance in recognizing remote sensing target.

AB - The particle swarm classifier is designed for radar target recognition in remote images. After me data pretreament, the classification rules are extracted by particle swarm optimization algorthm using training samples, and the remote sensing image target is recognized afterwards by using the rules. Experimental results on the remote sensing image data of airplanes and warships show that the proposed method has a higher performance in recognizing remote sensing target.

KW - Classifier

KW - Particle swarm optimization

KW - Remote sensing image

KW - Target recognition

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M3 - 文章

AN - SCOPUS:34548558988

SN - 1007-2276

VL - 36

SP - 551

EP - 554

JO - Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

JF - Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

IS - 4

ER -

Remote sensing target recognition based on particle swarm classifier

Abstract

Keywords

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