Atmosphere profile inversion method based on foundation hyperspectral microwave radiometer

Abstract

The invention provides an atmosphere profile inversion method based on a foundation hyperspectral microwave radiometer, and belongs to the technical field of microwave remote sensing. The atmosphere profile inversion method based on the foundation hyperspectral microwave radiometer comprises the following steps of setting system parameters of the foundation hyperspectral microwave radiometer, acquiring background parameters and background field errors, establishing a radiation transfer model, determining atmospheric radiation transmission brightness temperature, and inverting an atmosphere profile by using the iterative process of a variational method. Through the utilization of the atmosphere profile inversion method based on the foundation hyperspectral microwave radiometer, the accurately inverted atmosphere profile can be obtained through the foundation hyperspectral microwave radiometer, and the atmosphere profile inversion method is especially suitable for multi-channel radiometers and detection situations of insufficient prior data, enables a large amount of frequency band information provided by the foundation hyperspectral microwave radiometer to be used completely, and has strong adaptability and small detection errors.

Description

technical field [0001] The invention belongs to the technical field of microwave remote sensing, and in particular relates to an atmospheric profile inversion method based on a ground-based hyperspectral microwave radiometer. Background technique [0002] The maximum number of channels of passive microwave remote sensing sensors is mostly several or a dozen, and there are few microwave radiometers with dozens of channels, because the number of channels is limited by the existing technology. However, the number of these channels usually cannot meet the atmospheric inversion problem, especially in the presence of clouds and rain. Due to the increase in the number of variables to be inverted, the ill-conditioned inversion problem is serious, and the parameters to be measured cannot be effectively inverted, which affects the inversion precision. [0003] Ground-based microwave radiometers have become an important tool for atmospheric profile detection because of their higher de...

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Problems solved by technology

[0004] However, the current atmospheric profile retrieval method targets a small number of microwave radiometer channels

As the number of channels increases, the correlation between adjacent channels also increases, which brings troubles to the inversion of the atmospheric profile

Because the usual atmospheric parameter inversion methods mostly include the process of matrix inversion, and when there are many channels and there is a certain correlation between adjacent channels, the inversion of the matrix becomes very difficult, so that it cannot be correctly inverted. Corresponding Atmospheric Parameters

The neural network method, for microwave radiometers with more than 20 channels, although principal element analysis can be used to reduce the dimensionality and only select a part of the detection channels for calculation, it also reduces the amount of information in the detection data and loses a large amount of hyperspectral data. The significance of channel detection, to a certain extent, also weakens the advantages of large number of hyperspectral channels and large amount of information, and cannot fully play the role of hyperspectral radiometers

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