Simulation Method of Infrared Weak and Small Target Image Sequence Based on Mean Model

Abstract

The invention discloses a method for simulating infrared weak and small target image sequences based on a mean value model. The specific steps include: 1. Collect image background; 2. Simulate target image background; 3. Mirror image expansion; 4. Create target model; 5. Set target track; 6. Synthesize target image; Frame number i carries out the operation of accumulating 1; 8. Determine whether the number of background frames of the simulated infrared weak target image after the accumulation of 1 is equal to the total frame number L of the simulated infrared weak target image sequence, if yes, perform step 9; otherwise, perform step 2; 9. Output simulated infrared dim target image sequence. The invention has the advantages of small amount of calculation, high fidelity of the simulated infrared weak and small target image, rich texture detail features, size of the infrared weak and small target, signal-to-noise ratio of the infrared weak and small target, moving speed of the infrared weak and small target, and controllable track of the infrared weak and small target.

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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