Infrared weak small target detection method based on space-time characteristics
A technology of weak and small targets and detection methods, applied in image data processing, instruments, calculations, etc., can solve the problem of inability to effectively eliminate interference, and achieve the effect of eliminating cloud interference, reducing false alarm rate, and improving detection probability.
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[0044]DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS 1. The present invention provides a method for detecting dim and small infrared targets based on spatio-temporal characteristics, combining Figure 1 to Figure 5 shown, including:
[0045] Obtain the high-frequency component filter map of the target infrared image, and determine multiple suspicious targets from the high-frequency component filter map;
[0046] For each suspicious target, the gray scale distribution nine-square grid is used to calculate the spatial distribution characteristics of the neighborhood energy, and then the texture gradient distribution characteristics are calculated, and then the azimuth pitch scale ratio of the suspicious target and the target saturation are judged, and finally the time domain of the target is calculated. Judgment of distribution characteristics, gradually eliminate false targets in suspicious targets, and finally determine the real target.
[0047] In this embodiment, the pur...
specific Embodiment
[0098] Specific embodiments: the specific equipment for implementing the method of the present invention, its image signal processor hardware platform can be constructed by TMS320C6455DSP produced by TI Company, and realized by programming in C language. The pre-written C language program can be compiled and solidified on the image signal processor hardware, and the DSP automatically loads the program to run after power on. The specific process is as figure 1 shown.
[0099] For the pure air background, first analyze the eight-neighborhood space of the suspicious target. Air targets, such as aircraft, UAVs and missile targets, carry out gray-scale mean and gray-scale variance analysis on the target area and its eight-neighborhood space. Calculation, the gray mean and variance of the target are larger than its neighborhood area. When a candidate target does not meet this criterion, the candidate target is cloud interference or detector noise, and it will be eliminated.
[01...
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