Method for simulating infrared small target image sequence based on mean value model

Abstract

The invention discloses a method for simulating an infrared small target image sequence based on a mean value model. The method comprises the following specific steps: (1), acquiring the background of an image; (2), simulating the background of a target image; (3), expanding a mirror image; (4), establishing a target model; (5), setting a target track; (6), synthesizing the target image; (7), accumulating 1 to the number i of a background frame of a simulated infrared small target image; (8), judging whether the number of the background frame of the simulated infrared small target image added with 1 is equal to the total frame number L of a simulated infrared small target image sequence or not, if so, performing a step (9), and if not, performing the step (2); and (9), outputting the simulated infrared small target image sequence. The method disclosed by the invention has the advantages that: the calculation amount is low; the validity of the simulated infrared small target image is high; texture detail characteristics are enriched; and furthermore, the size, the signal-to-noise ratio, the motion speed and the track of an infrared small target are controllable.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to an infrared weak and small target image sequence simulation method based on an average value model in the technical field of infrared image processing. The invention can provide a large number of test infrared weak and small target image sequences for the performance evaluation of the high-altitude long-distance infrared weak and small target detection and tracking algorithm, and is used to verify the effectiveness of the detection and tracking algorithm. Background technique [0002] Infrared imaging sensors have been widely used in modern weapons and equipment. The infrared weak and small target image sequences actually captured by infrared imaging sensors cannot know the specific position of infrared weak and small targets in advance, and the acquisition of a large number of infrared weak and small target image sequences under different types of infrared backgrou...

AI Technical Summary

Problems solved by technology

The invention can provide infrared scene data required for simulation training for various types of aircraft using infrared imaging technology, reduce flight training costs, and also provide algorithm experiments and verification images for the development of infrared imaging guided weapon systems, and improve development efficiency. The shortcomings are: when the simulation generates infrared scene images, it is necessary to classify the scene and specify the texture type, establish a three-dimensional model of the scene, generate a mapping file, load the atmospheric parameter model, imaging model and atmospheric parameter conditions, and complete the simulation of the infrared scene image Output, the steps are complex, the amount of calculation is large, and the generated infrared weak target image sequence lacks texture detail features, and there is greater distortion compared with the real infrared weak target image

The disadvantages of this method are: it is impossible to control the size of the small infrared target, the signal-to-noise ratio of the small infrared target, the moving speed of the small infrared target, and the track of the small infrared target.

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