Space-based infrared aerial target detection method, storage medium and computer equipment

Abstract

The invention belongs to the technical field of infrared remote sensing and infrared space, and discloses a space-based infrared aerial target detection method, a storage medium and computer equipment, and the method comprises the steps: determining a reference frame Ib and a reference frame Ib + l, carrying out the local normalization processing of a frame b, carrying out the local normalization processing of a frame b + j, and carrying out the inter-frame correlation difference; after the inter-frame correlation difference is completed, dipole enhancement and spatial difference are carried out; multiplying the data completed by the space background suppression, the dipole enhancement and the space difference to obtain an intermediate result; and performing global normalization processing, local feature contrast and adaptive threshold segmentation on the intermediate result data, and performing result detection. According to the invention, space-based infrared aerial target detection is realized by constructing the local inter-frame matching difference model and the space local contrast model, the processing complexity of infrared aerial target detection and the resource demand of hardware realization are reduced, and the target detection efficiency is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of infrared remote sensing and infrared space, and in particular relates to a space-based infrared air target detection method, a storage medium and computer equipment. Background technique [0002] At present, the distance between air targets and space-based infrared detectors is more than 300km. Due to the low resolution of infrared remote sensing and the influence of atmospheric interference, optical scattering and diffraction, air targets are mostly small in size and size in infrared images. The characteristics of weak energy meet the standard of infrared weak and small targets. Low energy means that the contrast between the target and the background is not obvious enough, while small size means that the target does not have certain shape and texture features. In addition, in practical application scenarios, the background of space-based infrared images is composed of clouds, land, ocean and various ran...

AI Technical Summary

Problems solved by technology

In the space-based image preprocessed only by background subtraction and non-uniformity correction, the intensity of clutter is much greater than that of the target. The existing methods have a better suppression effect on most backgrounds, but it is easy to enhance the clutter and ignore the real target. , leading to many missed detections and false alarms

[0005] Through the above analysis, the problems and defects of the existing technology are: the existing technology is easy to enhance the clutter and ignore the real target, resulting in many missed detections and false alarms

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