Measurements of Rainfall Rates From Videos

Rong Dong, Juan Liao, Bo Li, Huiyu Zhou, Danny Crookes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Measuring rainfall rates from videos is a novel research topic. Due to rain motion, reflection of light and background clutter, it is extremely challenging to obtain accurate measurements. In this paper, we propose a new technique for measuring rainfall rates from videos, which consists of the following technical steps: first, we detect raindrops in an image using gray-tone functions and direction of rain streaks; we then select the focused raindrops, based on two features: average color tensor response and average intensity difference. Afterwards, the size of the raindrops is estimated and a raindrop size distribution (RSD) curve is created according to the use of the RSD in meteorology. Finally, a rainfall rate is obtained by fitting the RSD curve with a Gamma distribution model. In the experiment section presented in this paper, the proposed algorithm is evaluated under different light, moderate and heavy rainy conditions. The measurement results of the proposed algorithm are consistent with those of a can-type rain gauge. 
Original languageEnglish
Title of host publication10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017): Proceedings
Publisher IEEE
Number of pages9
Publication statusPublished - 16 Oct 2017
EventInternational Congress on Image and Signal Processing, BioMedical Engineering and Informatics - Shanghai, China
Duration: 14 Oct 201716 Oct 2017

Conference

ConferenceInternational Congress on Image and Signal Processing, BioMedical Engineering and Informatics
Abbreviated titleCISP-BMEI 2017
CountryChina
CityShanghai
Period14/10/201716/10/2017

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  • Cite this

    Dong, R., Liao, J., Li, B., Zhou, H., & Crookes, D. (2017). Measurements of Rainfall Rates From Videos. In 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017): Proceedings IEEE .