Building's Infrared Image Simulation Method Based on Guided Filter Enhancing Feature Prediction

Aiming at the complicated problem of the radiation model in the traditional infrared image simulation and the practical problem that the model usability is difficult to verify, a simulation method of building object infrared image based on guided filtering enhanced feature prediction is proposed. Based on guided filter enhancing feature extraction of the measured images, the images are divided into different regions according to different properties of the material, and the infrared simulation images of the middle time are obtained by feature prediction and fusion. The experimental results show that the infrared enhancement image of the building object which is generated by this algorithm is consistent with the change of the enhanced image, whether it is from the subjective visual effect or the gray histogram. What's more, the algorithm effectively avoids the cumbersome data processing in the general simulation, and has an engineering practical value, low computational complexity, good real-time performance.