Row based weak target detection method in infra-red ray row detector image-forming

Abstract

The present invention relates to a detecting method for small target based on column of infrared line detector in image processing technology field. The target is detected by using method of signal processing and mode identifying according with small target character in each single column scanned formed by each detector. The method needs not to detect target after reconstructing frame image for scanned field image, so detecting speed is increased, and image uneven influence is removed, and can response early. The target detection is processed for single column by using matching filtering, wavelet transformation and FKT arithmetic, and the detecting result is combined for constructing guide head signal process unit with rapid-speed and steadiness characters. The method can great increase target detecting efficiency using infrared column scanner by taking full advantage of scanned image character.

Description

technical field [0001] The invention relates to a detection method in the technical field of image processing, in particular to a column-based weak and small target detection method in infrared column detector imaging. Background technique [0002] Infrared imaging guidance is one of the important methods to realize precise guidance technology. In order to detect enemy aircraft, missiles and other targets as early as possible, the infrared imaging guidance system must capture the target as far away as possible. Weak and small targets are detected accurately. At present, there are two main forms of infrared imaging guidance technology, one is image scanning guidance using a combination of detectors and rotating optical-mechanical scanners, and the other is infrared focal plane imaging guidance. Because the cost of the former is low, it is easy to miniaturize, and the technology is relatively mature, so it still has a certain application range at present. [0003] The infra...

AI Technical Summary

Problems solved by technology

However, using this method will cause the following problems: 1. Each frame field image obtained by the detector element scan must be reconstructed, and the reconstruction needs to use a relatively complex algorithm, which consumes a considerable amount of calculation; 2. Due to Due to the non-uniformity of the infrared detector, the quality of the reconstructed image cannot be guaranteed, and it is necessary to use a non-uniformity correction algorithm to correct the image; 3. If there is no target in a certain scene, then in fact there is no target. Necessary for reconstruction of field images

If such a field image is also reconstructed, it will cause a waste of processing time

The above problems will bring difficulties to the image signal processing of the infrared array detector, or reduce the efficiency of detecting the target

Therefore, the existing small target detection algorithms for infrared surface imaging cannot deal with the problem of small target detection in infrared column imaging well.

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