恶劣天气下近紫外波段的偏振成像技术研究

Polarization imaging of near ultraviolet band under severe weather conditions

摘要:

针对云层会降低天空光的偏振特性，造成航向角数据误差较大的问题，选用近紫外波段对恶劣天气进行天空偏振模式的探测。首先使用太阳光度计对不同波段的偏振信息进行观测，分析数据变化趋势得出紫外波段对阴云天气偏振光导航存在优势，然后设计了一套偏振信息导航传感器系统，在不同天气下通过切换紫外滤光片实现可见光、近紫外光的交替探测。试验结果表明：在少云、薄云天气采用紫外波段进行探测相较于可见光波段优势明显，解算的航向角误差降低了60.68%；而随着云层的增加，在积雨云天气获得的偏振图像有所弯曲，但太阳子午线的辨识度依然很高，所得航向角数据较为准确，从而验证了近紫外波段在恶劣天气条件下采集偏振信息的优势。

Abstract:

In view of the problem that clouds will reduce the polarization characteristics of sky light and cause large error of heading Angle data, near-ultraviolet band is selected to detect the sky polarization mode in bad weather. The first to use the sun photometer on different bands of polarization information, analysis data change trend of ultraviolet band of clouds weather polarized light navigation is advantage, and then design a set of polarization information navigation sensor system, under different weather by switching the ultra violet(UV) filter to realize visible light and near ultraviolet detection alternately. The experimental results show that the ultraviolet band is superior to the visible band, and the calculated heading Angle error is reduced by 60.68%. However, with the increase of cloud cover, the polarization image obtained in cumulonimbus cloud weather is somewhat curved, but the identification of the solar meridian is still high, and the heading Angle data is more accurate, which verifies the advantage of near-ultraviolet band in collecting polarization information under severe weather conditions.