Research on Target Polarization Recognition and Classification Based on BP Neural Network

被引：0

作者：

Wu, Bang ^{[1
]}

Jia, Qi ^{[1
]}

Xu, Wei-dong ^{[1
]}

Lv, Xu-liang ^{[1
]}

Hu, Jiang-hua ^{[1
]}

机构：

[1] PLA Univ Sci & Technol, Coll Field Engn, Nanjing 210007, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2ND 2016 INTERNATIONAL CONFERENCE ON SUSTAINABLE DEVELOPMENT (ICSD 2016) | 2017年 / 94卷

关键词：

Polarization Detection; Stokes Parameter; BP neural network; Recognition;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Polarization detection technology has become an important means of detection technology. This paper discusses the principle and measuring method of polarization detection, typical features and the polarization characteristics, such as rock, concrete, soil, vegetation and military targets. According to the feature of polarization information, the model of target polarization recognition and classification based on BP neural network is constructed. And to validate the precision of this recognition and classification method t the experiment is organized. The results show that the scattering light polarization information as the classification basis is reliable and the model accuracy reached more than 85%, which have a good performance and can be used in many areas.

引用

页码：453 / 455

页数：3

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