Sampling method for seawater temperature field based on gradient analysis

A temperature field and seawater technology, applied in the fields of instruments, character and pattern recognition, computer components, etc., can solve the problem of not considering the gradient distribution characteristics of seawater temperature field, and achieve the effect of improving the reconstruction accuracy

Inactive Publication Date: 2018-11-20
HARBIN ENG UNIV
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Problems solved by technology

These studies did not take into account the gradient distribution characteristics of the seawater temperature field, and did not maximize the utilization of sampling resources.

Method used

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  • Sampling method for seawater temperature field based on gradient analysis
  • Sampling method for seawater temperature field based on gradient analysis
  • Sampling method for seawater temperature field based on gradient analysis

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Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] to combine figure 1 and figure 2 , the steps of the present invention are as follows:

[0045] Step 1. Use the Sobel operator to calculate the gradient of each data point in the seawater temperature field to obtain the gradient spatial distribution

[0046] For each data point of the historical monthly average temperature field, the Sobel operator is used to calculate its gradient.

[0047] Extend the horizontal and vertical directions of the Sobel algorithm to four directions (horizontal, vertical and two diagonal directions), and the operator template is expanded as follows:

[0048]

[0049] Then the gradient size of the point f(x,y) in the four directions is:

[0050]

[0051] In the formula: g(x, y) is the gradient size of f(x, y) two-dimensional discrete point, s x ,s y ,s x ',s y ' are the partial derivati...

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Abstract

The invention provides a sampling method for seawater temperature field based on gradient analysis. The method comprises steps: calculating a gradient value of each data point in a seawater temperature field, obtaining gradient space distribution, clustering and partitioning the gradient space distribution, calculating sampling rate of each clustering block according to gradient distribution characteristics, after randomly sampling in the clustering block, and reconstructing the seawater temperature field distribution by using a reconstruction algorithm. The method carries out dense sampling on an area with obvious change of gradient, and improves reconstruction precision of the seawater temperature field.

Description

technical field [0001] The invention relates to a seawater temperature field sampling method based on gradient analysis, which belongs to the field of marine sampling design. Background technique [0002] In the study of seawater temperature field reconstruction using compressive sensing technology, B.Chen, P.Pandey, and D.Pompili (An Adaptive Sampling Solution using Autonomous Underwater Vehicles, 2012), used random sampling to reconstruct environmental variables , Hummel R, Poduri S, Hover F designed a random sampling scheme (Mission Design for Compressive Sensing with Mobile Robots), and applied compressive sensing reconstruction technology to quickly reconstruct the ocean temperature field. These studies did not take into account the gradient distribution characteristics of the seawater temperature field, and did not maximize the utilization of sampling resources. [0003] In the field of image processing, compressive sensing has related designs based on saliency-based ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/44G06F18/23213
Inventor 刘厂雷宇宁高峰赵玉新何忠杰
Owner HARBIN ENG UNIV
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