Global ocean mesoscale eddy identification algorithm extracted on basis of HOG characteristics

A scale vortex and recognition method technology, applied in character and pattern recognition, computing, computer parts and other directions, can solve problems such as large fluctuations in results, inaccurate geostrophic flow rates, errors in vortex recognition results, etc., to achieve improved vortex Effects of recognition efficiency, improvement of efficiency, and improvement of vortex recognition efficiency

Inactive Publication Date: 2015-09-16
OCEAN UNIV OF CHINA
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Problems solved by technology

The OW method defines the criteria from the physical properties of mesoscale vortices, which can better reveal the physical nature of mesoscale vortices, but it has obvious defects.
First, the Coriolis force tends to 0 near the equator, so the OW parameters calculated by SLA, Coriolis force and gravity acceleration are incorrect
Second, the W field will generate a lot of noise, which is often misjudged as a vortex
Third, the results obtained by different thresholds fluctuate g

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  • Global ocean mesoscale eddy identification algorithm extracted on basis of HOG characteristics

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Embodiment Construction

[0021] The global ocean mesoscale eddy identification method based on the direction gradient histogram of the present invention comprises the following steps:

[0022] (1) Collect the eigenvectors of the directional gradient histogram of the altimeter image.

[0023] First convert the altimeter data into an image format, perform color and gamma normalization on the image, calculate the image pixel gradient value and image pixel gradient direction, construct a histogram of the gradient direction, and place all cell units containing multiple pixels on the block Perform normalization, collect the features of all blocks in the detection image, and form the directional gradient histogram feature vector.

[0024] (2) Extract directional gradient histogram feature lines and detect vortex candidate boundaries.

[0025] The maximum gradient direction lines of each cell unit in the window to be detected are extracted from the HOG feature vector, and the maximum gradient direction line...

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Abstract

The invention relates to a global ocean mesoscale eddy identification algorithm extracted on the basis of HOG characteristics. The algorithm uses satellite altimeter data. The method extracted on the basis of the HOG characteristics comprises detecting the maximum rotating speed characteristic line of an eddy, determining an area where the eddy exists, determining the eddy center and an eddy boundary through iteration of an inward contraction and outward expansion mode, applying a limit of an eddy property in an iteration process, determining a spatial position and scale of the eddy then, and completing identification of the ocean mesoscale eddy. The method takes an HOG characteristic value of an altimeter image as a parameter of the eddy identification, prevents result inaccuracy caused by an influence of a Coriolis force when the eddy identification is performed nearby the equator, and improves accuracy and efficiency of the eddy identification.

Description

technical field [0001] The invention belongs to the field of feature extraction and ocean visualization, and specifically relates to a global ocean mesoscale eddy identification algorithm based on HOG (Histogram of Oriented Gradient, histogram of oriented gradient). Background technique [0002] Since the 1970s, the research on mesoscale eddies has increasingly become a focus and focus of physical oceanographers. Since the mesoscale vortex can cause changes in the vertical positions of thermoclines and haloclines, it has high research value and significance in both theoretical research such as ocean dynamics and practical applications such as national defense and military affairs. [0003] There are many methods for identifying and extracting oceanic mesoscale eddies. Currently, common eddy identification methods include Sea Surface Height (SSH) method, Okubo-Weiss (OW) method, Vector Geometry (VG) method and Hybrid Detection (HD) method. Wait. [0004] (1) SSH method: Thi...

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Application Information

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IPC IPC(8): G06K9/46
Inventor 田丰林陈戈刘颖洁
Owner OCEAN UNIV OF CHINA
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