Study Of The Realistic Infrared Image Synthesis For Ground Objects And The Realistic Fusion Of Multi-spectral Images

Infrared (IR) Image Synthesis and Multi-spectral Information Fusion are the key techniques in current high scientific and technological countermeasure environment and have been found wide application in many domains such as Infrared Guidance & Countermeasure, Anti-terrorism, Remote Sensor detection, traffic safety, etc. In this dissertation, the infrared image synthesis for ground targets and the realistic fusion of multi-spectral images are studied. The content of this dissertation includes following subjects: the IR imaging model of city buildings, the realist image synthesis between IR target and the ground background, the real time walkthrough for dynamic IR scene, a Quantity Optics based illumination model for IR image synthesis and the realistic fusion of multi-spectral images, etc.In Chapter 1, we first introduce some primary knowledge, research contents, application domains and related research works about IR Technology and Infrared Image Synthesis. And we point out that using the latest techniques of Computer Graphics especially that of Virtual Reality (VR) will be the developing trend in this field. Then we describe some basic concepts, research contents, application trends and related research works about Multi-spectral Information Fusion.Little works have been done about fine IR imaging modeling for urban scene. In Chapter 2, a new IR imaging model for city buildings has been established based on Meteorology, Heat Transfer and Infrared Physics. We first analysis all kinds of main factors affecting the IR characteristic of city buildings, then by using the methods such as multi-layer finite difference the surface temperatures of building and other surrounding objects are acquired. Combining the methods of classified modeling and special modeling we constitute the large-scale complex urban IR scene and render the IR images of urban scene at various time.The realistic synthesis between IR targets and the background is very important for IR image synthesis system. In Chapter 3 we establish the IR thermal model of ground targets such as tanks based on the principle of heat transfer and calculate the re-distribution of temperature field after the touch between targets and ground. Then we render the realistic IR images between the targets and the ground background. We also render different IR images of the ground at the different intervals after the targets have been driven away. Based on these IR images, we can determine the existence ofthe IR targets some certain interval ago.Reports about the real-time generation of dynamic IR scene and its interactive virtual walkthrough have never been seen yet. In Chapter 4 we constitute the dynamic IR scene by combining scene geometry modeling with IR texture images. In this way the complexity of IR scene is reduced. We also propose a method generating IR target images from visible images in the same scene. By pre-generation IR depth texture images using the calculation software of atmosphere radiation propagation and considering the mechanism of the noise disturbance of thermal imager, we successfully realize the real-time generation of dynamic IR scene and its virtual walkthrough.Displaying the radiation phenomena in the quantity optics is also an area less explored in Computer Graphics. In Chapter 5 we develop a new Quantity Optics based illumination model by incorporating a self-radiation term of the object in traditional illumination model. Our new model is suitable both for IR waveband imaging and for visible waveband imaging. The model successfully simulates the natural radiation phenomena such as the color of iron during the different fused phases. Our model can also simulates highlight (specular reflection) phenomena in IR scene and the special IR scene image through thick fog. This study lays a foundation to establish the unified illumination model for multi-spectral fusion imaging.The results of current algorithms for multi-spectral image fusion often lose spectral information of original spectral images and the fused images are not...