Infrared reflection characteristic simulation method based on GPU (graphics processing unit) programming

Abstract

The invention discloses an infrared reflection characteristic simulation method based on GPU (graphics processing unit) programming, and mainly solves overcomes the defects of low physical realism reality sense and poor instantaneity of reflection effect simulation in the traditional prior art. The realization process of the infrared reflection characteristic simulation method is as follows: obtaining a direct solar radiation texture D, a sky background radiation texture S, an atmosphere path radiation texture L and an atmosphere transmittance texture T in a file of which the suffix is DDS (direct draw surface); obtaining a material parameter M required for calculating BRDF (bidirectional reflectance distribution function); according to a simplified Schlick BRDF reflection model, calculating the a reflection amount E1 on the direct solar radiation and the a reflection amount E2 on the sky background radiation by different pixels via the material parameter M; writing the DDS texture into a texture unit of a material script to generate the material script capable of generating simulation infrared reflection effect; finishing the analysis and the compiling of the material script by the GPU, and loading into a video memory; and operating the script programs to simulate the infrared reflection effect in real time. The infrared reflection characteristic simulation method based on the GPU programming has the advantages of strong simulation sense of reality and high instantaneity, and can be used for developing, testing and evaluating an infrared imaging system.

Description

technical field [0001] The invention belongs to the technical field of computer simulation, and in particular relates to an infrared reflection characteristic simulation method, which can be used for research, development, testing and evaluation of an infrared imaging system. Background technique [0002] In the military field, a large number of infrared images at different times, under different weather conditions, and in different bands are required for experimental testing. There are two main ways to obtain infrared images: one is to measure different regions and different environments through various thermal imaging instruments, but this requires a lot of manpower and material resources, and is greatly affected by factors such as geographical environment and climate conditions , it is more difficult to realize; another method is to use infrared scene simulation technology to simulate scenes at different times, seasons, weather and regions, and output simulated infrared i...

AI Technical Summary

Problems solved by technology

It affects the physical reality of the infrared scene and cannot meet the real-time requirements of the simulation, which in turn affects the efficiency of infrared imaging system design, test evaluation and application

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