Railway scene as an important traffic infrastructure usually plays a decisive role in land wars. In this paper, a high dynamic range imaging model is presented to simulate infrared railway scene. 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 real images.
[1]
Yossi Bushlin,et al.
Semi-empirical model-based approach for IR scene simulation
,
1997,
Defense, Security, and Sensing.
[2]
David R. Filbee,et al.
Modeling of high-fidelity synthetic imagery for defense applications
,
2002,
SPIE Defense + Commercial Sensing.
[3]
Yossi Bushlin,et al.
Comparison of thermal modeling and experimental results of a generic model for ground vehicle
,
2006,
SPIE Defense + Commercial Sensing.
[4]
Qunsheng Peng,et al.
Infrared image synthesis for bridges
,
2004,
SPIE Defense + Commercial Sensing.
[5]
Michael Forde,et al.
Infrared thermographic investigation of railway track ballast
,
2002
.
[6]
Nagaraj Nandhakumar,et al.
Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition
,
1997,
IEEE Trans. Pattern Anal. Mach. Intell..