[Research on night visibility inversion algorithm based on the dual light sources image and curve evolution theory].

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 me- ter, which can be used in the visibility monitoring with a large range, high precision and strong robustness.

[Analysis of three-dimensional fluorescence overlapping spectra using nonnegative matrix factorization].

The present paper primarily tests and verifies the effect of NMF in blind source separation of three-dimensional simulative fluorescence spectra, and then four different computational algorithms (multiplicative iterative; alternating least square; second order method; projected gradient algorithm) were used in three practical phenolic compounds (cresol, phenol, thymol) overlapping fluorescence spectra to find out which nonnegatively constrained algorithms is the most efficient for fluorescence spectra unmixing. The experiments demonstrate that four ways have the normalized residuals below 0.06%, and alternating least square (ALS) is the best at both convergence behavior and robustness.

[Research on night visibility estimation method based on image features of dual light sources].

Haze, rain and snow bring a lot of inconvenience in our daily life, especially produce serious potential safety hazard for night transport. In the present paper the authors propose the vision-based dual light sources visibility method to estimate night visibility. This method is significantly advantaged with wide range, high precision and low cost, and has a good robustness in many kinds of weather conditions. Firstly, the authors give the basic visibility estimation model under the atmosphere multiple scattering theory. Secondly, the authors propose the dual light sources method to remove the luminance fluctuations of light sources and the atmosphere light effect, and formulize the algorithm to accurately gain information of light sources from the dual light sources image. At last, the authors design the dual light sources system and conduct a long time experiments under various atmosphere conditions. The experiments show that, with the baseline of 35 m, the visibility range is up to 15 000 m, and relative error is below 20%. This method and system can satisfy the demand of meteorological department and transport agency.