As an emerging technology, division-of-focal-plane (DoFP) polarization camera have raised attention due to their integrated structure. The DoFP sensor can output real time data of polarization information. In this paper, a novel visualization method for polarization is proposed for DoFP polarization camera. This approach provides three views: linear polarization image, azimuth image and four quadrant polarization image. We also use pseudo color characterization method enhances the image visualization and highlights the polarization characteristics of skylight observation targets. The experimental results show that the proposed method can output and display three polarization parameters of the incident light at each pixel: intensity, linear polarization and azimuth in real time. Imaging is intuitive we can clearly see the polarization state distribution of skylight and the polarization characteristics of the target building.
KEYWORDS: Control systems, Temperature metrology, Control systems design, Fluctuations and noise, Sensors, Clouds, Spectroscopy, Neural networks, Bismuth, Resistance
Temperature has great impact on the accuracy of a photoelectric detection device. It is often difficult to attain the required temperature control accuracy when the thermostatic control is done for key parts of the photoelectric detection device in a large cavity. Accordingly, a large-power thermostatic control system is developed, and a thermostatic scheme with highly heat insulation, air-cooling heat dissipation and rapid heat homogenization is designed for the target cavity. ANSYS-ICEPAK is used to simulate boundary conditions of the cavity temperature. The simulation result proves the feasibility of the scheme. The self-developed temperature control circuit adopts the STM32F407ZET6 chip based on the ARM Cortex-M4 core as a main controller, utilizes four-wire-system Pt1000 and MAX31865 modules to detect the temperature, and utilizes the integrated digital motor driving modules MC33HB2001 and DRV8800 to drive TEC. The upper computer and lower microchip communicate through the serial port for remote control. The mismatched compensative Smith-RBF-PID control algorithm is used to realize the real-time high-accuracy control of the temperature in the target cavity. The practice proves that when the ambient temperature is -20°C to +60°C, the temperature in the cavity can be effectively controlled stably at 40±0.1°C, which has certain reference significance for the thermostatic control of the high-accuracy photoelectric detection device.
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