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Earth surface component temperature multi-algorithm integration algorithm based on Bayesian model averaging method

A Bayesian model, multi-algorithm technology, applied in computing, complex mathematical operations, computer components, etc., to achieve high precision

Active Publication Date: 2021-01-08
AEROSPACE INFORMATION RES INST CAS
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  • Claims
  • Application Information

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Problems solved by technology

[0005] To sum up, most of the existing research uses the characteristics of thermal infrared observations in a certain dimension (such as angle, band and time, etc.) Capability and applicability to meet the needs of product production

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  • Earth surface component temperature multi-algorithm integration algorithm based on Bayesian model averaging method
  • Earth surface component temperature multi-algorithm integration algorithm based on Bayesian model averaging method
  • Earth surface component temperature multi-algorithm integration algorithm based on Bayesian model averaging method

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Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] Such as figure 1 The shown multi-algorithm integration algorithm for surface component temperature based on the Bayesian model averaging method includes the following steps:

[0036] I. Integrate surface component temperature inversion methods into a unified framework, that is, select a component temperature inversion algorithm with strong representativeness and complementary relationship M={M in view of the advantages and disadvantages of different algorithms i};

[0037] Remote sensing observation data includes visible light observation, thermal infrared observation, cloud mask, surface water vapor products, etc. The data mainly used in the present invention come from visible light observation, thermal infrared observation, cloud mask, surface water vapor product.

[0038] II. Carry out surface temperature inversion based o...

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Abstract

The invention discloses an earth surface component temperature multi-algorithm integration algorithm based on a Bayesian model averaging method. The earth surface component temperature multi-algorithmintegration algorithm comprises the following steps: I, performing earth surface temperature inversion based on a split window algorithm or a temperature emissivity separation algorithm; II, performing algorithm evaluation on a multi-pixel, multi-angle, multi-temporal and multi-band inversion method based on a data set of ground measurement and three-dimensional model DART simulation and a Bayesian model averaging method; III, inverting the temperature of surface components (namely vegetation and soil) by using the multi-pixel, multi-angle, multi-temporal and multi-band method respectively; and IV, performing inversion structure fusion on the weight factor of each sub-algorithm obtained through algorithm evaluation to obtain a component temperature inversion result of the integrated algorithm. According to the invention, a multi-algorithm integrated framework for component temperature inversion is constructed, the uncertainty of single algorithm / single data source inversion is reduced, and the accuracy and stability of surface component temperature inversion are improved.

Description

technical field [0001] The invention relates to an integration algorithm, in particular to a multi-algorithm integration algorithm of surface component temperature based on a Bayesian model averaging method. Background technique [0002] Surface temperature is an important input parameter in the process of energy balance and water cycle on the earth's surface. Remote sensing can be used to obtain large-area surface temperature information. For geostationary and polar-orbiting satellites, the spatial resolution of thermal infrared pixels can reach 1 km or even 5 km, mixed pixels are common, and the temperature difference of the components inside the pixels can reach 10K. Most of the existing surface temperature retrieval algorithms are based on the average temperature of the entire pixel, which is difficult to reflect the temperature difference of the components inside the pixel. In contrast, the physical meaning of the component temperature inside the pixel is more clear, w...

Claims

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Application Information

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IPC IPC(8): G06F17/12G06F17/16G06F17/18G06K9/62
CPCG06F17/12G06F17/16G06F17/18G06F18/24155
Inventor 卞尊健历华杜永明曹彪肖青柳钦火
Owner AEROSPACE INFORMATION RES INST CAS
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