Hailstone classifier based on Rough Set Theory

2017 2nd International Seminar on Advances in Materials Science and Engineering

Wan, Huisong^1 ; Jiang, Shuming^1 ; Wei, Zhiqiang^1 ; Li, Jian^1 ; Li, Fengjiao^1

Information Research Institute, Shandong Academy of Sciences, Jinan

250014, China^1

关键词: Bitmap formats;    Data support;    Follow up;    Image features;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012087/pdf
DOI  :  10.1088/1757-899X/231/1/012087

来源: IOP

【 摘 要 】

The Rough Set Theory was used for the construction of the hailstone classifier. Firstly, the database of the radar image feature was constructed. It included transforming the base data reflected by the Doppler radar into the bitmap format which can be seen. Then through the image processing, the color, texture, shape and other dimensional features should be extracted and saved as the characteristic database to provide data support for the follow-up work. Secondly, Through the Rough Set Theory, a machine for hailstone classifications can be built to achieve the hailstone samples' auto-classification.