A Novel Method to Realize Optical Correlation Recognition Based on Neural Network

被引：6

作者：

Xu, Ping ^{[1
]}

Yang, Tuo ^{[1
]}

Liang, Kai ^{[1
]}

Li, Xiongchao ^{[1
]}

Long, Siwei ^{[1
]}

Huang, Haixuan ^{[1
]}

机构：

[1] Shenzhen Univ, Coll Elect Sci & Technol, Inst Micronano Photoelect Technol, Shenzhen 518061, Peoples R China

来源：

IEEE PHOTONICS JOURNAL | 2018年 / 10卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Optical correlator; optical filter; object recognition; FILTERS; SYSTEM;

D O I：

10.1109/JPHOT.2018.2858568

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A neural network model is constructed according to 4F optical correlator. New optical filter is obtained by training the neural network. For recognition of distortion targets, the correlation peaks from correlator applying new filter are averagely increased up to 306.7% than applying the OTSDF filter, and correlation peaks are higher, sharper and easier to be distinguished, which indicates optical correlator with new filter have better performance in distortion invariant recognition.

引用

页数：10

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