Research on Night Visibility Inversion Algorithm Based on the Dual Light Sources Image and Curve Evolution Theory
DAI Pang-da1, ZHANG Yu-jun1*, LU Chang-hua2, ZHOU Yi1, WANG Jing-li3, XIAO Xue1
1. Anhui Institute of Optics and Fine Machine, Key Laboratory of Environment Optics and Technology, Chinese Academy of Sciences, Hefei 230031，China 2. Hefei University of Technology, Hefei 230009，China 3. Institute of Urban Meteorology, CMA, Beijing 100089, China
Abstract：In the present paper, we propose a novel night visibility inversion algorithm. The key idea is based on the curve evolution theory in the context of dual light sources. First, we describe the features of the dual light sources night visibility inversion method, and explain the relationship between fluctuation of light source intensity and curve evolution with the special characters. Then, level set method is introduced ito define the light source intensity and establish the model with visibility inversion, and the algorithm formula is detailed. Experiments results show that, the algorithm is characterized with a strong robustness and compared with the standard visibility, the correlation of visibility result reaches up to 0.98 in the range of 2 000 meter to 12 000 meter, which can be used in the visibility monitoring with a large range, high precision and strong robustness.
戴庞达1，张玉钧1*，鲁昌华2，周 毅1，王京丽3，肖 雪1 . 基于曲线演化的双光源夜间能见度反演算法研究 [J]. 光谱学与光谱分析, 2014, 34(09): 2351-2354.
DAI Pang-da1, ZHANG Yu-jun1*, LU Chang-hua2, ZHOU Yi1, WANG Jing-li3, XIAO Xue1 . Research on Night Visibility Inversion Algorithm Based on the Dual Light Sources Image and Curve Evolution Theory . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(09): 2351-2354.
