Infrared imaging simulation verification method based on recognition distance

Abstract

The invention discloses an infrared imaging simulation verification method based on a recognition distance, and the method employs the recognition distance as an accuracy evaluation factor of an infrared imaging simulation model, and can achieve the simultaneous consideration of the performance of an infrared system, the features of an infrared image and the vision of a human eye. The verification method comprises the following steps: firstly, measuring recognition distances of a plurality of observers to four targets with different sizes and temperature standards through an infrared system imaging experiment; according to the parameters of the infrared imaging system, the size of the target and the blackbody equivalent temperature of the target, measuring the recognition distance of an observer to the four-rod target in the simulation image through an infrared imaging simulation experiment; and finally, calculating the accuracy of the infrared imaging simulation model in combination with infrared system imaging experimental data, and performing infrared imaging simulation verification. The method solves the problem that a traditional infrared imaging simulation verification method is insufficient in consideration of human vision, considered factors are more comprehensive, and results are more reliable.

Description

technical field [0001] The invention belongs to the technical field of infrared imaging simulation, and relates to an infrared imaging simulation verification method based on recognition distance. Background technique [0002] Infrared imaging simulation is an emerging research direction that deeply intersects digital signal processing, computer vision, graphics and other disciplines. Combined, the traditional infrared system performance is predicted from the imaging mechanism. It has been widely adopted due to its fast iteration speed, short time-consuming, and low cost. High simulation accuracy is the premise to ensure that infrared imaging simulation technology can take advantage of its advantages. Carrying out relevant research work on infrared imaging simulation verification and evaluating the accuracy of infrared imaging simulation results is of great significance for infrared system design, imaging simulation, security reconnaissance and other fields. [0003] In t...

AI Technical Summary

Problems solved by technology

This infrared imaging simulation verification method does not consider the impact of human vision: even if the simulation image and the test image are completely consistent in terms of system performance and infrared image characteristics, the interpretation results of the simulation image and the measured image (such as recognition distance, detection distance, etc.) ) can also vary greatly

Therefore, the error of this infrared imaging simulation verification method is often large

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