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Refined grid data partition construction method and system for mesoscale vortex recognition

A technology of grid data and construction methods, applied in neural learning methods, neural architectures, biological neural network models, etc., can solve the problems of low efficiency of mesoscale vortex identification, improve algorithm efficiency, reduce memory, improve quantity and accuracy rate effect

Pending Publication Date: 2021-12-03
SHANGHAI UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to provide a fine grid data partition construction method and system for mesoscale vortex identification to solve the problem of low efficiency of existing mesoscale vortex identification

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  • Refined grid data partition construction method and system for mesoscale vortex recognition
  • Refined grid data partition construction method and system for mesoscale vortex recognition
  • Refined grid data partition construction method and system for mesoscale vortex recognition

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Embodiment Construction

[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0076] The purpose of the present invention is to provide a method and system for constructing fine grid data partitions for mesoscale vortex identification, which can improve the efficiency of mesoscale vortex identification.

[0077] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific ...

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Abstract

The invention relates to a refined grid data partition construction method and system for mesoscale vortex recognition. The method comprises the following steps: acquiring the occurrence number of mesoscale vortexes of a research sea area in previous years; carrying out zoning processing on the research sea area according to the occurrence number of the mesoscale vortexes in the previous years to generate a plurality of divided areas, wherein the divided area comprises a vortex high-incidence area and a vortex low-incidence area; performing refined construction on the satellite altimeter grid data in each divided region by using a BP neural network to generate grid data subjected to partitioned refined construction; and identifying the mesoscale vortex by using the grid data which is finely constructed by the partitions. The mesoscale vortex recognition efficiency can be improved.

Description

technical field [0001] The invention relates to the field of mesoscale vortex identification, in particular to a method and system for constructing fine grid data partitions for mesoscale vortex identification. Background technique [0002] Mesoscale vortex is a remarkable ocean phenomenon that exists widely in the global ocean. Mesoscale vortex plays a key role in the dynamic process and energy and material transport in the ocean. The research and application of mesoscale vortices is helpful to understand the ocean dynamic process, and has a very important guiding role in marine military activities, marine fisheries and other marine activities. The mesoscale vortex (also known as synoptic ocean vortex) refers to the vortex in the ocean with a diameter of tens to hundreds of kilometers and a life span of tens of days to ten months. Compared with the common vortices visible to the naked eye, the mesoscale vortex has a larger diameter and a longer life span; but it is much sm...

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Application Information

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IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/084G06N3/044Y02A90/10
Inventor 张丹宋海升李孝伟方长芳李云波彭艳
Owner SHANGHAI UNIV
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