A Method of Cloud Classification Base on Image Entropy

Author

Huang Yong ; Hu Wen ; Liu huijuan

Author_Institution

Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper a technique to classify cloudy image is introduced base on the image entropy. As beginning, entropy of images are estimated, and then the images with cloud are classified automatically. Secondly 9 thresholds are selected after counting the thresholds of classify. With the 9 thresholds the classification of satellite image is realized. During a heavy rain event on the early July 2007 in Huaihe Basin, the method is applied and results are compared with the enhancement technology of infrared image in GOES manual. As a result, it is shown that the two methods have their own advantages and disadvantages respectively. And the optimal technology is combining the two methods. Finally, relationship of rainfall and FY2C cloud top temperature are concluded during autumn in Huaihe Basin.

Keywords

image classification; image enhancement; GOES manual; cloud classification; cloudy image; image entropy; infrared image enhancement; satellite image classification; Artificial neural networks; Clouds; Clustering algorithms; Entropy; Fuzzy neural networks; Infrared imaging; Meteorology; Rain; Satellites; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5304409

Filename

5304409