Journal of Atmospheric and Environmental Optics ›› 2018, Vol. 13 ›› Issue (4): 315-320.

Previous Articles    

Defocus Blurred Restoration Method for Raindrops Imaging and Its Application

LIU Xichuan, HU Yuntao, GAO Taichang, Song Kun   

  1. (College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China)
  • Received:2017-03-15 Revised:2017-05-11 Online:2018-07-28 Published:2018-07-10
  • Contact: 刘西川(1985-),男,河北清河人,博士,讲师,主要从事光学大气探测技术方面的研究。 E-mail: liuxc2012@hotmail.com
  • About author:刘西川(1985-),男,河北清河人,博士,讲师,主要从事光学大气探测技术方面的研究。
  • Supported by:

    Supported by National Natural Science Foundation of China (国家自然科学基金, 41327003, 41505135), Natural Science Foundation of Jiangsu Province(江苏省自然科学基金,BK20150708)

Abstract:

Aiming at the raindrops imaging degradation of precipitation micro-physical characteristics sensor (PMCS), and consider the defocus blurring due to light source, a raindrop images restoration method based on point spread function (PSF) is proposed. Sharp images of raindrops can be obtained by the disk function. The radius of defocus blurring and thresholds of images binarization are determined by the calibration experiment of a series of glass balls, which have similar optical features with raindrops. The field experiment results show that the images restoration method can precisely correct the raindrops size and their distribution, the raindrop size distribution and rainrate measured by PMCS are in good agreement with the measurements of laser disdrometer. The application of images restoration method can promote the performance of raindrop size distribution, and other micro-physical characteristics measured by PMCS.

Key words: raindrops, images, point spread function, raindrop size distribution

CLC Number: