Chengdu University of Information Technology

Yukun Yang

Yan Chen

Yu Peng

Fei Luo

Wenjie Zhou

Yanqiong Hao

Wendong Hu

Tiangui Xiao

Jianhong Gan

Juzhang Ren

Zhuolin Chang

Zhiliang Shu

Jiajun Zhou

Yang Cui

Provided is an automatic hail identification method based on radar image spatial mapping, including: obtaining a base reflectivity radar image; grading radar echoes using intensity values represented by different colors, and detecting radar center coordinates; performing spatial mapping, and establishing a dictionary for radar echo intensity in a new radar image space; after expanding the dictionary, transforming V-shaped notch and TBSS characteristics behind an original radar strong echo area into a standard rectangle and a triangle behind a strong echo in the new radar image space; determining whether there is a V-shaped notch and TBSS according to whether there is a standard rectangle or a triangle behind the strong echo; and if so, marking in the original radar image and calculating a position where hail occurs. A rapid and accurate method is provided for automation of hail monitoring and early warning and elimination of continuous high-intensity analysis pressure of forecasters.

Automatic hail identification method based on radar image spatial mapping

Growing community of inventors

Chengdu, China

Yukun Yang