Detection method of small target of feature space

Abstract

The invention discloses a detection method of a small target of a feature space, realizing small target detection of the feature space through steps of star position location, reference star selection, star and potential target division, track association cancelling noise, and the like. Because a detection algorithm of small moving target with a moving night sky background of a feature space based on distance is adopted, two stars are selected to be used as reference stars, different motion characteristics among the stars, and the target and a noise point are fully utilized to directly dividethe stars, the potential target and the noise in a two-dimension feature space domain. Compared with three reference stars selected by the background technology on calculation of a similarity measuring function, an error square sum and a curve inflection point in a three-dimension space, the invention reduces the calculation amount because one star is decreased. Because the track continuity of the target is directly utilized to detect a track, a process that a potential target point set is mapped from the three-dimension space to the two-dimension space to be detected is avoided, and the detection is simpler and more practical.

Description

technical field [0001] The invention relates to a weak and small target detection method of a starry sky image, in particular to a weak and small target detection method in a feature space. Background technique [0002] The literature "Weak and Small Target Detection Algorithm Based on Hierarchical Clustering, Computer Engineering and Application, 2008.44(19): 24-27" proposed an algorithm for weak and small target detection using the idea of ​​hierarchical clustering. This method first selects 3 stars as reference stars, and based on the distance change between the star point and the reference star, a three-dimensional feature space is constructed through the distance difference. In this three-dimensional space, the similarity is constructed according to the motion characteristics of the star and the target. Metric function, find the optimal classification surface and the number of classifications by finding the sum of squared errors and the inflection point of the curve, an...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the large amount of calculation and the complexity of the detection method in the prior art, the present invention provides a weak target detection method in the feature space, which fully considers the gray scale and motion characteristics of stars, targets and noise, and selects two stars as references. Dividing stars, potential targets and noise in the two-dimensional feature space domain can reduce the amount of calculation and realize weak target detection in the background of moving starry sky

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