An intelligent extraction method of marine internal temperature and salt information based on multi-source satellite remote sensing

A technology of satellite remote sensing and extraction methods, applied in computer parts, instruments, characters and pattern recognition, etc., can solve the problems of low sparse spatial and temporal resolution, unable to meet the requirements of multi-scale ocean process observation, and hindering the understanding of the interior of the ocean.

Inactive Publication Date: 2019-03-29
FUZHOU UNIV
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Problems solved by technology

However, although the existing buoy observation data in the ocean interior have high accuracy, they are sparse and limited, and have low temporal and spatial resolu...

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  • An intelligent extraction method of marine internal temperature and salt information based on multi-source satellite remote sensing
  • An intelligent extraction method of marine internal temperature and salt information based on multi-source satellite remote sensing
  • An intelligent extraction method of marine internal temperature and salt information based on multi-source satellite remote sensing

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the drawings and embodiments.

[0033] Please refer to figure 1 , The present invention provides a method for intelligently extracting ocean internal temperature and salt information based on multi-source satellite remote sensing, including the following steps:

[0034] Step S1: Obtain ocean multi-source sea surface remote sensing data and Argo buoy measured data and perform preprocessing to obtain sea surface anomaly data, Argo measured coordinate data, Argo measured temperature anomaly data and salinity anomaly data; the sea surface anomaly data Including sea surface height anomaly SSHA, sea surface temperature anomaly SSTA, sea surface salinity anomaly SSSA, sea surface wind speed horizontal component anomaly U_SSWA and sea surface wind speed vertical component anomaly V_SSWA.

[0035] Step S11: Obtain ocean multi-source sea surface remote sensing data and Argo buoy measured data, and unify the spatia...

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Abstract

The invention relates to an intelligent extraction method of marine internal temperature and salt information based on multi-source satellite remote sensing. the method includes: Using multi-source sea surface remote sensing data, Combined with the measured data of Argo buoy in the ocean, Using XGBoost advanced machine learning method to establish the intelligent remote sensing inversion model based on multi-source satellite observation to inverse the temperature and salinity structure of the ocean interior. The inversion effect is very good, and the spatial distribution and characteristics oftemperature and salinity information in the global ocean interior can be displayed intuitively and accurately. The invention constructs a new method of ocean remote sensing oriented to the interior of the sea, The inference of the key dynamic parameters from the sea surface satellite observations can broaden the ocean observation range, which improves the resolution of the ocean internal information observation, makes up for the sparsity and deficiency of the ocean internal buoy observation, and provides a new method for the ocean internal observation, which has a high application value in the field of ocean remote sensing.

Description

Technical field [0001] The invention relates to the field of remote sensing information processing and application, in particular to a method for intelligently extracting ocean internal temperature and salt information based on multi-source satellite remote sensing. Background technique [0002] In the past ten years, the application of remote sensing technology in the marine field has achieved remarkable results, but remote sensing observations are limited to the surface of the ocean and cannot directly detect the internal information of the ocean. For example, thermal infrared sensors detect sea surface temperature, microwave radiometers measure sea surface salinity, radar altimeters measure sea surface heights, and radar scatterometers measure sea surface wind fields. The internal dynamic process of the ocean is complex, with multi-dimensional and multi-scale dynamic characteristics. Understanding its changing process and mechanism urgently needs the support of multi-temporal ...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 苏华杨欣
Owner FUZHOU UNIV
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