Sea-surface infrared small object detection method

A small target detection, small target technology, applied in image data processing, instruments, computing and other directions, to achieve low computational cost, overcome the interference of strong noise and sea clutter background, high detection accuracy

Inactive Publication Date: 2016-09-07
XIDIAN UNIV +1
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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...

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0050] The method for detecting small infrared targets on the sea surface provided by the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0051] Such as figure 1 As shown, it is a flow chart of the sea surface infrared small target detection method provided by the embodiment. The method is based on sparse and low-rank m...

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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...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T5/00
CPCG06T5/002G06T2207/10048G06T2207/20048G06T2207/30221
Inventor 方厚章时愈周钢郑纪彬许述文潘东辉
Owner XIDIAN UNIV
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