Real-time generation of infrared ocean scene based on GPU

Zhaoyi Jiang; Xun Wang; Yun Lin; Jianqiu Jin

doi:10.1117/12.751471

14 November 2007 Real-time generation of infrared ocean scene based on GPU

Zhaoyi Jiang, Xun Wang, Yun Lin, Jianqiu Jin

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892G (2007) https://doi.org/10.1117/12.751471
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Infrared (IR) image synthesis for ocean scene has become more and more important nowadays, especially for remote sensing and military application. Although a number of works present ready-to-use simulations, those techniques cover only a few possible ways of water interacting with the environment. And the detail calculation of ocean temperature is rarely considered by previous investigators. With the advance of programmable features of graphic card, many algorithms previously limited to offline processing have become feasible for real-time usage. In this paper, we propose an efficient algorithm for real-time rendering of infrared ocean scene using the newest features of programmable graphics processors (GPU). It differs from previous works in three aspects: adaptive GPU-based ocean surface tessellation, sophisticated balance equation of thermal balance for ocean surface, and GPU-based rendering for infrared ocean scene. Finally some results of infrared image are shown, which are in good accordance with real images.

Citation Download Citation

Zhaoyi Jiang, Xun Wang, Yun Lin, and Jianqiu Jin "Real-time generation of infrared ocean scene based on GPU", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892G (14 November 2007); https://doi.org/10.1117/12.751471

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