基于小波变换与纹理特征分析的地基云图识别

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Abstract Cloud type is one of the three elements of cloud observations.And correct identification of cloud type will have a help for analyzing the state of atmospheric motion, providing an important basis for the weather forecast.This paper introduces a preliminary research on cloud classification for whole-sky infrared images by means of the method of image processing.The required characteristic parameters for cloud classification are extracted based on the wavelet transform and texture analysis(GLCM).Then, the suitable classifier for cloud classification is designed and built.The analysis and research work show that comparing a single texture analysis method with the wavelet transform and texture analysis method for the recognition of selected all-sky infrared cloud, the latter has a higher accuracy rate.

Key words： whole-sky infrared images wavelet transform texture analysis

Received: 23 October 2013

ZTFLH:

P412.15

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	Articles by authors
	Chen Jinyuan
	Gao Taichang
	Liu Lei
	Han Wenyu

Cite this article:

Chen Jinyuan,Gao Taichang,Liu Lei等. Classification of ground-based cloud image based on wavelet transform and texture analysis[J]. Meteorological Hydrological and Marine Instrument, 2014, 31(1): 1-4.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2014/V31/I1/1

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