A Method of Infrared Dim Small Target Detection Based on Non-negative Constrained 2D Variational Mode Decomposition

Abstract

A non-negative constrained 2D variational mode decomposition based infrared small and small target detection method, which solves the problem that the frequency band of infrared small and small targets is difficult to be accurately estimated in the prior art, the detection results are easily interfered by noise and background clutter, and the detection efficiency is low. The problem belongs to the technical field of infrared weak and small target detection. The invention includes obtaining an infrared image, using a band-pass filter to preprocess the infrared image, constructing an objective function by combining a two-dimensional variational mode decomposition method with non-negative constraints, and then inputting the preprocessing result into the objective function, and according to the objective function The solution outputs the decomposition result, and the result is K non-negative narrow-band sub-signals. Extract a narrow-band sub-signal corresponding to the infrared weak and small target in the above results to obtain the target sub-signal; perform adaptive threshold segmentation on the extracted target sub-signal, determine the position and size of the infrared weak and small target, and output the detection result. It is used for infrared weak and small target detection.

Description

Technical field [0001] An infrared dim and small target detection method based on non-negative constrained 2D variational modal decomposition is used for infrared dim and small target detection and belongs to the technical field of infrared dim and small target detection. Background technique [0002] Infrared imaging technology has been widely used in modern military, space-based detection, security monitoring and other fields. Among them, the infrared target detection and tracking system is its key technology and core module. In most applications, the infrared imaging distance is long, resulting in a target with only a few pixels to dozens of pixels, which is a small target. In addition, due to the low imaging quality of the infrared detection system and the interference of the atmospheric system on imaging, the signal-to-clutter ratio of the target is low, which is a weak target. Infrared dim and small targets have the characteristics of small area, low signal-to-clutter rat...

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Problems solved by technology

[0006] The present invention provides a non-negative constrained 2D variational mode decomposition based infrared weak target detection method for the above shortcomings, which solves the problem that the frequency band where the infrared weak target is located is difficult to be accurately estimated in the prior art, and the detection results are susceptible to noise and noise. Background clutter interference and low detection efficiency

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