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

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.