Detecting method and device for weak and small target with intensive fixed star background

Abstract

The invention belongs to the field of image processing and discloses a detecting method for a weak and small target with an intensive fixed star background. The detecting method aims at achieving detection of a weak and small target under the conditions of large view field of the fixed star background and high detecting capacity. First, fixed star interference is weakened through inter-frame registration difference, and then an image is cut through a simple and efficient method of a self-adaption mean value and a K time variance; then a binary statistic filter is adopted to conduct target clustering and remove isolated noise points; characteristics of the position, size, gray level and external rectangle of the target are obtained through segment marking and the like; a static target is extracted through a method of frame-to-frame position correlation (a fixed star edge and double-start edges which are not completely removed through difference are removed at the same time); track detection is conducted through a nearest neighbor method based on logics to finally achieve detection of the weak and small target. After a series of preprocessing, candidate targets sent to the track correlation are few, the number of the candidate targets is controlled in a range of a few to a dozen, and therefore track correlation efficiency and target detecting efficiency are high.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a target detection method, in particular to a weak and small target detection method suitable for a dense star background. Background technique [0002] The detection and tracking of space targets can be carried out with radar and photoelectric equipment. When the target to be detected and tracked has a relatively high orbit and a small area, radar detection and tracking is somewhat difficult. For such targets, the ground-based photoelectric telescope has shown its great advantages. In order to detect small debris in the middle and high orbits, the telescope must have sufficient detection capabilities. It is detected that there are both targets and a large number of stars in the field of view. How to quickly and effectively detect the target from the dense star background and extract the target is a technical difficulty in image processing. When the field of view of the ground-bas...

AI Technical Summary

Problems solved by technology

When the field of view of the ground-based photoelectric telescope is large and the detection ability is high, the stars in the image are dense, and the method of removing stars by difference is generally used, but the difference method cannot completely remove the interference of stars, so there are many follow-up targets involved in track correlation, and the amount of calculation and Calculation speed is difficult to meet the needs of real-time systems, and may also cause high false alarms. Aiming at these problems, the present invention provides a set of simple and efficient solutions

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