3D Scene Modeling and Real-Time Infrared Simulation Technology Based on Artificial Intelligence Algorithm

With the continuous advancement of information technology and the increasing demand for real-time infrared simulation, establishing a high-performance real-time infrared simulation system is the primary task of battlefield information support system and the key factor to determine the outcome of the war. 3D infrared scene simulation technology is widely used in military-oriented fields such as performance test and evaluation of weapon imaging system, infrared remote sensing and mapping. In this chapter, driven by Artificial Intelligence (AI) technology, an infrared 3D scene modeling algorithm based on improved Convolutional Neural Network (CNN) is proposed. The calculation of material infrared image, the establishment of infrared image database and the real-time infrared scene modeling based on global 3D scene are preliminarily realized, and its modeling performance is simulated through experiments. The results show that after many iterations, the accuracy of the improved CNN is better than that of the traditional CNN, reaching more than 95%, and the error is also significantly reduced. The infrared image generated by this method is basically consistent with the real infrared image, which provides an effective way to prepare infrared reference map in real time.