Atmospheric temperature and humidity profile processing method and system based on active and passive remote sensing
A combination of active and passive technology, applied in meteorology, using multiple variables to indicate weather conditions, measuring devices and other directions, can solve the large error of atmospheric temperature and humidity, infrared sensor processing cloud base height error, affecting the accuracy of detection results, etc. problems, to achieve the effect of improving accuracy and effectiveness, and reducing errors
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[0028] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0029] see figure 1 , figure 1 It is a schematic flowchart of the atmospheric temperature and humidity profile processing method based on the combination of active and passive remote sensing of the present invention. The present invention combines active and passive remote sensing with an atmospheric temperature and humidity profile processing method, comprising the following steps:
[0030] Step S1: the data processor establishes a three-layer feed-forward BP neural network model, the BP neural network model includes an input layer (input), a hidden layer (hidelayer) and an output layer (output layer), and the data processor according to Historical atmospheric data carries out processing training to described BP neural network model, obtains the BP neural network model of parameter optimization; Wherein, described historical atmospheric da...
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