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Sonar image super-resolution reconstruction target tracking and detection method based on compressed sensing

A super-resolution, compressed sensing technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of the final clustering effect, such as the large influence of the initial cluster center point selection and the limited application scope.

Active Publication Date: 2018-07-24
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

In this algorithm, the final clustering effect is greatly affected by the selection of the K value and the selection of the initial cluster center point, and it can only be used for convex data sets, and its application range is limited.

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  • Sonar image super-resolution reconstruction target tracking and detection method based on compressed sensing
  • Sonar image super-resolution reconstruction target tracking and detection method based on compressed sensing
  • Sonar image super-resolution reconstruction target tracking and detection method based on compressed sensing

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Embodiment Construction

[0013] Step 1: Initialize the original image parameters, and separate the smooth, edge, and texture components of the original image by α s 、α e 、α t , correspondingly use discrete smooth wavelet transform, irregular contour wavelet transform and wavelet smooth model transform to perform corresponding processing to generate an initial over-complete dictionary; the process of structured dictionary training based on HAOC clustering algorithm:

[0014] (1) Treatment of smooth components:

[0015] (1) The initial over-complete dictionary generated by the discrete smooth wavelet transform of the input smooth component

[0016] (2) input sample set D={X 1 ,X 2 ,X 3 ,...X n}, the neighborhood radius parameter r, the threshold MinS of the overlapping area;

[0017] (3) Initialize each sample point set, initialize the number of clusters k=0, initialize the access sample set Γ=D, cluster division

[0018] (4) Classify according to the following algorithm:

[0019] (a) is th...

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Abstract

The invention provides a sonar image super-resolution reconstruction tracking and detection method based on compressed sensing. Based on the existing underwater sonar image target tracking method, a traditional clustering method and dictionary training method are improved. Spot detection and visual saliency detection are combined to track and detect a target. The method is more accurate in the aspect of dictionary training, and the image resolution is improved. The target is tracked step by step. After the relative position of the target is found, saliency detection is carried out to ensure that tracking and detection are real-time and accurate.

Description

Technical field: [0001] The invention relates to the field of underwater sonar image target tracking and detection, in particular to a method for target tracking and detection of sonar image super-resolution reconstruction based on compressed sensing. Background technique: [0002] The attenuation of sound wave transmission in the ocean is not obvious, and the transmission distance is long at lower frequencies, and it has a good communication function. Sonar image is the image information obtained by the feedback of sound waves propagating in the ocean. Sonar images are widely used in underwater target detection, positioning and tracking, so the research on sonar images is of great significance to the development of seabed exploration, underwater target detection and other fields. However, underwater acoustic imaging depends on the size of the acoustic radiation. The imaging of the target is greatly affected by the noise of the environment, and serious image degradation wil...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V2201/07G06F18/23213
Inventor 张铁海徐志京
Owner SHANGHAI MARITIME UNIVERSITY
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