| Autor: |
Robert Chyhir, V. I. Shynkarenko, Iryna Nikitina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030632694 |
| DOI: |
10.1007/978-3-030-63270-0_76 |
| Popis: |
At first, deep analysis of modeling processes of the lightning flashes dynamic behavior in static background and moving thunderstorm fronts with very mobile clouds at NASA satellite videos was done. Color models’ opportunities were explored for lightning flashes extraction in significant dynamic thunderstorm fronts and cloudiness. It was shown that the greatest efficiently in recognition is provided by combining Lab and LCH model-based features. The ranges of color channels were defined for lightning aureoles. This data was used for their detection at the series frames from meteorological satellites. The lightning detection filtering is based on the processing a current frame of the video with linear and quadratic filters were developed to solve these tasks. An analysis of their effectiveness was done. Modeling of the lightning flashes was implemented using constructive-synthesizing approach. A set of constructors was developed. Implementing parametric multi-character constructors allows forming fractal sequences of characters. Constructor-converter from the character string to time series creates fractal time series, which determine the location, magnitude and decay rate of lightning discharges. Model video images of lightning in the thunderstorm front are formed in accordance with the implementation of the constructor-assembler. The methods and software for lightning extraction from NASA satellites video, and also for realization constructive-synthesizing models were developed. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
