Infrared Ocean Image Simulation Algorithm Based on Pierson–Moskowitz Spectrum and Bidirectional Reflectance Distribution Function

Infrared ocean image simulation has been widely used in water-pollution prevention, meteorological observation and melting-ice monitoring. However, actual remote sensing scenes, the images provided by conventional algorithms are lacking sufficient wave details because viewing angle scale of simplex. In this paper, an infrared algorithm based on Pierson–Moskowitz spectrum a bidirectional reflectance distribution function is proposed. First, 3D model surface set up spectrum. Then, imaging position calculated pinhole camera method, which describes how each point mapping to 2D image. Next, using function, radiation intensity from every computed. Finally, we figure sum received detector obtain quantizing grayscale. The entropy 2.725, is, respectively, improved 71.86% 16.83% compared with two other algorithms. Kullback–Leibler divergence 11.446, 0.54% 0.59% quantitative experimental results prove that authenticity clarity presented have remarkable advantages over