Large-scale scene real-time infrared simulation based on texture blending

Purpose-Infrared simulation plays an important role in small and affordable unmanned aerial vehicles.Its key and main goal is to get the infrared image of a specific target.Infrared physical model is established through a theoretical research,thus the temperature field is available.Then infrared image of a specific target can be simulated properly while taking atmosphere state and effect of infrared imaging system into account.For recent years,some research has been done in this field.Among them,the infrared simulation for large scale is still a key problem to be solved.In this passage,a method of classification based on texture blending is proposed and this method effectively solves the problem of classification of large number of images and increase the frame rate of large infrared scene rendering.The paper aims to discuss these issues.Design/methodology/approach-Mosart Atmospheric Tool(MAT)is used first to calculate data of sun radiance,skyshine radiance,path radiance,temperatures of different material which is an offline process.Then,shader in OGRE does final calculation to get simulation result and keeps a high frame rate.Considering this,the authors convert data in MAT file into textures which can be easily handled by shader.In shader responding,radiance can be indexed by information of material,vertex normal,eye and sun.Adding the effect of infrared imaging system,the final radiance distribution is obtained.At last,the authors get infrared scene by converting radiance to grayscale.Findings-In the fragment shader,fake infrared textures are used to look up temperature which can calculate radiance of itself and related radiance.Research limitations/implications-The radiance is transferred into grayscale image while considering effect of infrared imaging system.Originality/value-Simulation results show that a high frame rate can be reached while guaranteeing the fidelity.

Dynamic infrared scene simulation using grayscale modulation of digital micro-mirror device

Dynamic infrared scene simulation is for discovering and solving the problems encountered in designing, developing and manufacturing infrared imaging guidance weapons. The infrared scene simulation is explored by using the digital grayscale modulation method. The infrared image modulation model of a digital micro-mirror device （DMD） is established and then the infrared scene simulator prototype which is based on DMD grayscale modulation is developed. To evaluate its main parameters such as resolution, contrast, minimum temperature difference, gray scale, various DMD subsystems such as signal decoding, image normalization, synchronization drive, pulse width modulation （PWM） and DMD chips are designed. The infrared scene simulator is tested on a certain infrared missile seeker. The test results show preliminarily that the infrared scene simulator has high gray scale, small geometrical distortion and highly resolvable imaging resolution and contrast and yields high-fidelity images, thus being able to meet the requirements for the infrared scene simulation inside a laboratory.