System and method for polarization detection of target in strong background

Abstract

A system and method for polarization detection of a target in a strong background are provided. The system includes: an image signal acquisition module configured for image information acquisition and signal conversion of a plurality of channels; a YoLoV3 neural network-based feature extraction module configured to increase a number of network layers, obtain a fused feature map combined with intensity information and polarization information, and extract a feature difference between an intensity modality and a polarized light modality; a Darknet53 neural network-based feature extraction module configured to extract a feature value of a high dynamic range image; a residual network-based feature fusion module configured to learn weights of different modalities, obtain a fused feature map of intensity modality information and polarization modality information, and select and optimize the fused feature map by attention mechanism processing; and an image printing module configured to filter background information.