Target Classification Using Features Based on Fractional Fourier Transform

被引：13

作者：

Seok, Jongwon ^{[1
]}

Bae, Keunsung ^{[2
]}

机构：

[1] Changwon Natl Univ, Dept Informat & Commun, Chang Won 641773, South Korea

[2] Kyungpook Natl Univ, Sch Elect, Taegu 702701, South Korea

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2014年 / E97D卷 / 09期

关键词：

target; recognition; active sonar; pattern recognition; LFM; highlight model; fractional Fourier transform; NEURAL-NETWORKS;

D O I：

10.1587/transinf.2014EDL8003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter describe target classification from the synthesized active sonar returns from targets. A fractional Fourier transform is applied to the sonar returns to extract shape variation in the fractional Fourier domain depending on the highlight points and aspects of the target. With the proposed features, four different targets are classified using two neural network classifiers.

引用

页码：2518 / 2521

页数：4

共 50 条

[21] A method for detecting target echo in reverberation based on fractional Fourier transform
CHEN Wenjian SUN Hui ZHU Jianjun ZHU Guangping ZHANG Minghui (National Laboratory of Underwater Acoustic Technology
[J]. Chinese Journal of Acoustics, 2010, 29 (04) : 401 - 412
[22] Fractional Fourier transform features for speech recognition
Sarikaya, R
Gao, YQ
Saon, G
[J]. 2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING, 2004, : 529 - 532
[23] Arrhythmia Classification by Local Fractional Fourier Transform
Uslu, Erkan
Bilgin, Gokhan
[J]. 2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
[24] Speaker recognition using features derived from fractional Fourier transform
Wang, JF
Wang, JB
[J]. Fourth IEEE Workshop on Automatic Identification Advanced Technologies, Proceedings, 2005, : 95 - 100
[25] A Moment Based Fractional Fourier Transform Scheme for MR Image Classification
[J]. Automatic Control and Computer Sciences, 2021, 55 : 377 - 387
[26] A Moment Based Fractional Fourier Transform Scheme for MR Image Classification
Mastromichalakis, Stamatis
Chountasis, Spiros
[J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2021, 55 (04) : 377 - 387
[27] Fractional Fourier Transform Based Features for Musical Instrument Recognition Using Machine Learning Techniques
Bhalke, D. G.
Rao, C. B. Rama
Bormane, D. S.
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2013, 2014, 247 : 155 - 163
[28] Radar detection method for moving target based on radon-fourier fractional fourier transform
Chen, Xiao-Long
Liu, Ning-Bo
Wang, Guo-Qing
Guan, Jian
[J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2014, 42 (06): : 1074 - 1080
[29] Acoustic seabed classification using fractional fourier transform and time-frequency transform techniques
Barbu, Madalina
Kaminsky, Edit
Trahan, Russell E., Jr.
[J]. OCEANS 2006, VOLS 1-4, 2006, : 1197 - 1202
[30] Classification of biscuit tiles for defect detection using Fourier transform features
Zoric, Bruno
Matic, Tomislav
Hocenski, Zeljko
[J]. ISA TRANSACTIONS, 2022, 125 : 400 - 414

← 1 2 3 4 5 →