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Seawater sea surface temperature fusion method on basis of coupling degree and conflict degree matrix

A technology of sea surface temperature and fusion method, applied in the field of information fusion

Inactive Publication Date: 2012-07-25
SHANGHAI UNIV
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Problems solved by technology

In marine three-dimensional monitoring, the method of multi-sensor monitoring and fusion of data coupling degree and conflict degree matrix has not been reported in the relevant literature.

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  • Seawater sea surface temperature fusion method on basis of coupling degree and conflict degree matrix
  • Seawater sea surface temperature fusion method on basis of coupling degree and conflict degree matrix
  • Seawater sea surface temperature fusion method on basis of coupling degree and conflict degree matrix

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Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] This embodiment takes January 9, 2006 at 124.125 east longitude and 35.125 north latitude as an example of fusion of the sea surface temperature measurement results and the resolution intervals of the measuring satellites.

[0040] (1) Calculate the system error of each sensor according to the difference in the average value of the measurement results of the same batch of target values ​​by each satellite sensor, and propose a system error correction coefficient.

[0041] Table 1 Measurement errors of each series of satellites

[0042] satellite Measured value X Measurement error δ amsre-A 10.35 0.5 modlsasst4 0.25 8.739 0.3 modlsasstn 0.25 8.574 0.3 tmi-A 0.25 9 0.5 tmi-D 0.25 9.3 0.5

[0043] (11), first calculate the average value of the same batch of measurement ...

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Abstract

The invention discloses a fusion method capable of reasonably quantizing the conflict and the coupling degree between measured values of a plurality of satellite sensors. The fusion method is characterized in that the conflict and the consistence between the measured values of the same measured target are quantized by a coupling degree and conflict degree matrix between different measured values and the process of quantizing the conflict and the consistence comprises the following steps: (1) providing a system error correction coefficient for the difference in average values of measurement results of the same batch of target values by the satellite sensors; (2) calculating the coupling degree of data according to an intersection set of a system error interval of each satellite sensor and the measurement result for the same measured target, and calculating a weight of each measured value; (3) calculating the conflict degree of the data according to a complementary set of the intersection set of the system error interval of each satellite sensor and the measurement result for the same measured target, and calculating a weight of each measured value; and (4) calculating the coupling weight and the conflict weight between the measured values for the same target by a plurality of satellite sensors through the system error correction coefficient so as to obtain a fusion value and a fusion error of seawater sea surface temperatures measured by a plurality of satellite sensors.

Description

technical field [0001] The invention belongs to the field of information fusion, and in particular relates to a multi-satellite seawater sea surface temperature measurement value fusion method based on coupling degree and conflict degree matrix. Background technique [0002] In recent years, with the development of information fusion theory, the fusion method based on probability and set has been developed to a certain extent, and has been applied in some professional fields. However, there are great difficulties in applying the theory of coupling degree and conflict degree to the fusion of general measurement data, mainly because the mutual coupling and conflict of measurement data is not easy to realize in the quantification process, especially the format of general measurement data is not uniform, However, uniform input and output formats and error ranges are often used in data fusion, which largely limits the utilization efficiency of measurement information. [0003] P...

Claims

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Application Information

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IPC IPC(8): G01S7/02G01S7/48G01S7/52
Inventor 钟飞蔡茂刘洋徐凌宇吴绍春施红梅宋翠翠
Owner SHANGHAI UNIV
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