Multi-highlight clustering analysis-based underwater slender body feature recognition method

A cluster analysis, slender body technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of poor robustness, outliers, inapplicable K-means algorithm, etc., to achieve reliable work. Effect

Active Publication Date: 2018-07-27
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

One of the disadvantages of the K-means clustering algorithm is that it is less robust to outliers
The underwater environment is more complex, and the measurement...

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  • Multi-highlight clustering analysis-based underwater slender body feature recognition method
  • Multi-highlight clustering analysis-based underwater slender body feature recognition method
  • Multi-highlight clustering analysis-based underwater slender body feature recognition method

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Embodiment Construction

[0046] Other characteristics, characteristics and advantages of the present invention will be more apparent after the following detailed description of the embodiments of the present invention by way of examples in conjunction with the accompanying drawings.

[0047] For a large-scale target with slender body characteristics, when the target width is ignored, the target is regarded as a line segment, and all the reflection centers of its bright spots are collinear, that is, they are all located on the longitudinal axis of the target. The focus of the present invention is the estimation of the reflection center of a large target in a clustering problem with constraint characteristics.

[0048]In order to determine the motion characteristics of underwater slender body characteristics, at least two centers of bright spots are required to determine the longitudinal axis baseline of an underwater target. The increase of the number of bright spot centers, on the one hand, can increa...

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Abstract

The invention relates to a multi-highlight clustering analysis-based underwater slender body feature recognition method. The method comprises the following steps of: calculating a length and a motiondirection of an underwater slender body target by utilizing highlight space distribution of the underwater slender body target; and obtaining a clustering center of a target clustering point by adoption of an expected maximum value EM algorithm under a constraint condition through combining a clustering analysis method, and estimating a course and a length of the target. According to the method, the EM algorithm with the constraint condition is adopted, multi-highlight information is utilized, and headings (courses) and scales of underwater targets with slender body shapes are estimated; and the method has the characteristics of being simple, easy and reliable in work.

Description

technical field [0001] The invention relates to the field of underwater vehicles, in particular to a feature recognition method for underwater slender bodies based on multi-bright spot cluster analysis Background technique [0002] Underwater target feature recognition has always been one of the research focuses in the field of sonar signal processing. Its main purpose is to obtain underwater target characteristics, including position information, speed, heading direction and size, etc. Sonar is usually used to detect underwater targets. The tracking algorithm of the underwater maneuvering target calculates the relative distance, direction and relative speed of the target according to the echo characteristics of the target, and then estimates the motion characteristics of the target according to the target motion equation and filtering algorithm. However, due to the particularity of the underwater environment, the estimation error of the distance, azimuth and radial velocit...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2321
Inventor 刘宇朱晓萌马晓川鄢社锋侯朝焕
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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