Imaging guiding and machine vision in the infrared (IR) of military targets on land backgrounds are an extensively
studied subject. The railway scene as an important traffic infrastructure usually plays a decisive role in land wars. Real
IR images are expensive to obtain, and many researchers cannot afford them. The solution to this problem is generating
realistic images at various conditions in computer. In this paper, a physics based model of infrared image synthesis for
railway scene is proposed. A method for generating a thermal image of railway scene obtained by a forward-looking
infrared (FLIR) sensor is described here. It consists of an integrated process based on thermal model of railway,
atmospheric transmission and IR sensor effect. At first, a simple numeric model is proposed to calculate the temperature
distribution of railway scene based on theoretical analysis of heat transfer. The typical structure of a railway can be
divided into two main components. To simplify the thermal model, two parts of railway are processed independent. The
distribution of track section temperature is considered in detail and not considered conduction along the track line. The
ballast base is discretized into one-dimension multiple layers. Then we focus on the emissivtiy of steel track, which is a
dominant factor in railway IR simulation. The value of emissivtiy is mainly determined by surface status of track. So the
infrared radiation from track surface is calculated by Stephan-Boltzmann Law. Some results of synthesis image of
railway scene in atmospheric window are shown finally. The generating images of railway are in good accordance with
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.
In this paper we propose a novel image corner detection method. We use a new feature "flatness" to help find corner at the base of SUSAN method. Our experiments show our method has good performance and it can reject some false corners reported by SUSAN method.
Recently infrared signature simulation has been in a state of great interest. Although various models have been developed to generate synthetic image of infrared scenes, little work has been done to create high fidelity infrared image of bridge. In this paper a realistic model for infrared image synthesis of bridge based on its thermal energy transmission is proposed to generate the infrared image of bridge at different time. Our new IR image synthesis model of bridge accounts for meteorological, environmental, material and artificial factors. Then an energy equilibrium equation is built based on the principle of heat transfer and infrared physics. And a finite difference method is adopted to solve the equations. Finally we get the radiance distribution of target surface. To get high fidelity, the effect of atmosphere is added using LOWTRAN model. The value of attenuation is pre-computed and stored in our database. We also pre-generate infrared texture and depth attenuated image from visible image. Infrared images of bridge from different viewpoints at different time can be rendered. Our results of simulation show that the model is robust and feasible.
A new model for realistic IR image rendering of city buildings was proposed in this paper. Within the model, We first analyzed the main kinds of factors affecting the infrared characteristic of city buildings such as air temperature, relative humidity, wind speed, sun and sky radiations. Then we established an energy equation based on principle of energy equilibrium for the surface parts of city building scene and by adopting multi-layer infinite difference method and Gauss-Seidier’s iterative method, the surface temperatures of building scene under various conditions were acquired. To make the IR scene more realistic, we proposed a new method to obtain IR texture from its corresponding visible image based on the spectral correlation and the thermal attribute of the classified materials in scene. Using Ray tracing to determine IR shadow area and render the IR scene of city building with high-reality. To simulate the attenuated and blurred effect of atmosphere, we propose an IR attenuation imaging model. Finally, various IR images of city buildings at different time in a day and at different detected distance are realistically rendered based on our model.