Typhoon intensity remote sensing inversion method based on deep learning

Abstract

The invention relates to a typhoon intensity remote sensing inversion method based on deep learning, and the method comprises the following steps: determining the geographic coordinate information ofa typhoon center at a to-be-inverted moment, and obtaining a cloud atlas of a satellite at the to-be-inverted moment; reading geographical coordinate information in the satellite cloud picture and preset brightness temperature data of a plurality of wave bands; determining a coordinate point of a typhoon center position in the satellite cloud atlas, and constructing a three-dimensional matrix based on waveband brightness temperature data by taking the coordinate point as a center; constructing eight binary classification CNN models based on a focaliss loss function; inputting the three-dimensional matrix data into eight binary CNN models to obtain and output a corresponding numerical value, the typhoon level corresponding to the maximum numerical value being the typhoon intensity categoryat the moment; and calculating the maximum wind speed of the typhoon at the moment according to the obtained values. The method can effectively solve the problems that in an existing deep learning method, it is difficult to find the optimal channel combination for typhoon intensity inversion, and side effects are caused by unbalanced typhoon sample distribution.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a remote sensing inversion method for typhoon intensity based on deep learning. Background technique [0002] Typhoon is a strong weather process generated on tropical oceans. Under the action of strong wind and low pressure during typhoon, typhoon often causes flash floods, urban waterlogging, landslides, mudslides, etc., causing huge damage to human life and property. The Northwest Pacific Ocean is not only the sea basin with the largest number of typhoons in the world, but also the only sea basin where typhoon activities can be observed throughout the year. According to statistics, my country is one of the countries most severely affected by typhoon disasters in the world, with an annual average of 9.3, ranking first in the world. Every year, typhoon disasters in my country cause economic losses of more than 25 billion, and the death toll is as high as hundreds. The in...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a remote sensing inversion method of typhoon intensity based on deep learning, which can effectively solve the problem of the existing deep learning method that it is difficult to find the best channel combination for inversion of typhoon intensity and the problem of side effects caused by unbalanced distribution of typhoon samples

Images