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A Shear Front Recognition Method Based on Remote Sensing Data

An identification method and remote sensing data technology, applied in the field of marine remote sensing technology and image recognition, can solve the problem of lack of a shear front identification method based on remote sensing data, and achieve the effect of effective and accurate identification

Active Publication Date: 2021-12-07
OCEAN UNIV OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is still a lack of an effective, measured, and large-scale observation method
The use of remote sensing data with high spatial and temporal resolution is the best choice for shear front research, but there is still a lack of shear front identification methods based on remote sensing data

Method used

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  • A Shear Front Recognition Method Based on Remote Sensing Data
  • A Shear Front Recognition Method Based on Remote Sensing Data
  • A Shear Front Recognition Method Based on Remote Sensing Data

Examples

Experimental program
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Embodiment 1

[0025] A method for identifying a shear front based on remote sensing data, the method comprising the following steps:

[0026] (1) Using remote sensing data inversion to obtain continuous images of the concentration distribution of suspended matter on the sea surface;

[0027] (2) According to the remote sensing images at two consecutive moments of A (before moment) and B (after moment), use the MCC (Maximum Cross Correlation) method to identify and calculate the displacement of the main water mass color block, and determine the range of the shear front; the steps (2) The MCC identification method for the displacement of the water mass color block is as follows: match the continuous remote sensing images at time A and B, and select an area of ​​any shape in the image at time A (for example: Pixel area or irregular shape area), called SourceBlock, denoted as S sub ; Select an area with the same shape in the image at time B, called Target Block, denoted as T sub . A momen...

Embodiment 2

[0035] This embodiment is based on the method provided in Embodiment 1, and the identification of the shear front of the Yellow River Estuary is taken as an example to describe the present invention in detail.

[0036] Geostationary Ocean Color Imager (GOCI) Satellite Remote Sensing Data Introduction: GOCI is the world's first geostationary ocean color imager, mounted on Korea's COMS satellite, launched in 2010, with a time resolution of 1 hour and 8 images per day. It is a time-by-hour image from 8:16 to 15:16 (Beijing time), with a spatial resolution of 500m. GOCI has 8 bands, including 6 visible light bands, 2 near-infrared bands, and the center wavelength of the 8 bands is 412nm. , 443nm, 490nm, 555nm, 660nm, 680nm, 745nm, 865nm, among which the band with a central wavelength of 555nm is suitable for studying suspensions.

[0037] In view of the fact that the Yellow River estuary shear front appears for no more than 3 hours in a semi-diurnal tidal cycle, and has the charac...

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Abstract

The present invention provides a shear front identification method based on remote sensing data. The method includes: first, using remote sensing data to invert to obtain continuous images of the concentration distribution of suspended matter on the sea surface; The image recognition and calculation of the displacement of the main water mass color block at a continuous time, determine the range of the shear front; then calculate the concentration gradient of the sea surface suspended matter at time B, and obtain the distribution of the maximum gradient contour, there may be multiple; finally, according to the identified The maximum gradient contour is superimposed on the identified shear front range, and the maximum gradient contour that falls within the shear front range is the position of the shear front band. Through actual verification, according to the identification method provided by the present invention, the shear front can be effectively and accurately identified.

Description

technical field [0001] The invention belongs to the technical field of marine remote sensing technology and image recognition, in particular to a shear front recognition method based on remote sensing data. Background technique [0002] A shear front is an ocean dynamic phenomenon, which refers to the interface of water bodies that flow in opposite directions or flow in the same direction but with greatly different flow velocities. There is a strong material concentration gradient at the shear front, such as a suspension concentration gradient. Shear fronts have an important barrier effect on the transport of estuary sediment and other materials. The identification of their characteristics based on remote sensing observations is not only of great significance to the theoretical research in the field of estuary shear fronts, but also to the transport and deposition of materials in estuaries and coasts. The practice also has important application value. [0003] At present, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/22
Inventor 王楠宋德海毛政李广雪鲍献文
Owner OCEAN UNIV OF CHINA