Ms. Weili Chen Profile

Weili Chen

at Beijing Institute of Technology

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Proceedings Article | 1 August 2023 Paper

Polarization image recognition based on cascade deep learning

Jinshan Li, Hantang Chen, Xu Ma, Weili Chen

Proceedings Volume 12747, 127471L (2023) https://doi.org/10.1117/12.2689211

KEYWORDS: Polarization, Image enhancement, Deep learning, Image classification, Target recognition, Polarization imaging, Convolution, Target detection, Object detection

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Polarization imaging technology integrates the spatial and polarization information of the target scene, which can provide high-dimensional light field information to improve the ability of object detection and recognition. The polarization states of natural scenes can be characterized by the Stokes vector ( S₀ , S₁ , S₂ ), degree of polarization ( DoP ) and angle of polarization ( AoP ). In order to better understand and utilize the polarization characteristics, the observers need to recognize the feature maps of different polarization parameters. These images are sometimes hard to distinguish with naked eyes, especially for S₁ and S₂ images due to their similarity. This paper proposes a polarization image recognition method based on the cascade deep learning approach, which can improve the discrimination between S₁ and S₂ images, and achieve preferable recognition accuracy for different kinds of polarization images. We use two ResNet-50 networks successively to classify the polarization images. Firstly, a ResNet-50 network is used to recognize S₀ , S₁₂ , DoP and AoP images, where S₁₂ means the union set of S₁ and S₂ images. Next, the Sobel operation is applied to enhance the discriminat1on of polarization characteristics between S₁ and S₂ images. After that, the second ResNet-50 network is used to separate the images of S₁ and S₂ . It shows that the proposed method outperforms some other comparative methods in terms of recognition accuracy.

Proceedings Article | 6 February 2008 Paper

The high power CO₂ laser study on system of traceability dynamic calibration

Weili Chen, Hanchang Zhou, Weiqi Jin

Proceedings Volume 6823, 68231B (2008) https://doi.org/10.1117/12.757276

KEYWORDS: Calibration, Gas lasers, Carbon monoxide, Sensors, Temperature sensors, Sensor calibration, Pulsed laser operation, Dynamical systems, Infrared detectors, High power lasers

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In the paper, a principle is proposed, that is, a high frequency modulated high power CO₂ laser is used as the driving source to heat up the sensor. Using the continual beam and the pulsed beam sent out by the same laser in the same system to carry on the static calibration of the infrared detector and the dynamic calibration of the temperature sensor to be checked, the differences in the environment of the sensor installing and the error caused by the change of thermo physical property can be avoided. Thus the difficult problem of traceable temperature dynamic calibration is solved. Tellurium-cadmium-mercury infrared detector which has good response to the CO₂ laser beam of 10.6μm wavelength is used to measure the surface temperature time (72μs) excited by the CO₂ laser. This dynamic calibration system was used to test the response times of two kinds of thermocouples. The experimental results have shown that this calibration system can be used to calibrate transient surface temperature sensor with a time response of the seconds to sub-milliseconds order and 2000°C. Many thermocouples of company Omega have been tested on the system. The experimental results show that the new calibration method can be used to calibrate surface temperature sensors.

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