Changchun University of Science and Technology

Huilin Jiang

Qiang Fu

Yang Liu

Zhuang Liu

Haodong Shi

Yingchao Li

Jin Duan

Huangying Gu

Guofang Xie

Hua Cai

Juntong Zhan

Xuanwei Liu

Su Zhang

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.

System and method for polarization detection of target in strong background

A simulator and test method of polarization transmission in sea fog belong to the technical field of polarization transmission characteristics. The simulator comprises an emitting device, a receiving device, a main box body, an automatic light alignment system, a water fog layer calibration system, a salt fog layer calibration system, and an aerosol layer calibration system. In accordance with the present disclosure, the automatic alignment of polarized light and a relatively stable sea fog environment are simulated in an indoor environment, the accuracy of indoor simulation is improved, the conformity between measured data and a theoretical simulation result is superior to 80%, and a reliable technical support is provided for the sea surface detection.

Simulator and test method of polarization transmission in sea fog

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CHANGCHUN, China

Huilin Jiang