Sea-surface infrared small object detection method

Abstract

The invention discloses a sea-surface infrared small object detection method. The method comprises the steps that (1) a non-local block is used to construct a new image matrix by decomposing an original image matrix into superposed subblocks, expanding the subblocks into column vectors and combining the column vectors to obtain the new image matrix; (2) sparse and low-rank matrix decomposition is carried out by decomposing the constructed new image matrix into sparse small object components, low-rank background image components and noise components; (3) a convex optimization model is established by constructing a convex optimization constrained energy function related to small object and background images; (4) high-efficiency optimized solution is carried out by solving the constructed convex optimization constrained energy function in an alternative direction multiplier method in which parameters are updated adaptively in high efficiency; and (5) the small object image of interest is obtained by iteration. The detection method provided by the invention is low in calculation cost, high in parameter adaption, high in detection efficiency, and capable of resisting background noises and clutter interference, and can be applied to infrared small-object detection in complex sea-surface background.

Description

technical field [0001] The invention belongs to the technical field of target detection, and more specifically relates to a small infrared target detection method on the sea surface based on non-local block matrix sparseness and low-rank decomposition and fast optimization solution in the case of strong background noise and clutter. Background technique [0002] Infrared small target detection technology is the key technology in infrared search and track system. The performance of infrared search and track system depends on the detection accuracy of small infrared targets. The detection of small infrared targets on the sea surface is susceptible to interference from complex background noise and clutter. Infrared images show low signal-to-noise ratio and low contrast. Coupled with the imaging of long-distance targets, the target generally occupies a small proportion of pixels; in addition, small infrared targets have no obvious Texture and shape structure features, the perfo...

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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a sea surface infrared small target detection method, the purpose of which is to restore sparse small infrared targets and low-rank sea surface background images from the newly constructed data matrix, and solve the problem of Effective and stable detection of small infrared targets on the sea surface under the background of strong noise and sea clutter

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