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纹理分析法识别静止卫星红外云图和监测汛期强对流天气系统 被引量:9

Identification Geosynchronous Satellite Infrared Image and Detection Violent Convective Weather System in Flood Season by Textural Analysis Technique
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摘要 根据空间灰度共现矩阵纹理分析原理,制作卫星红外云图纹理分析法系统。选取50幅2003~2004年甘肃西部汛期对流性降水的FY-2红外云图,进行纹理特征量的计算和统计分析,并用甘肃省肃北县2004年6月29日18时的FY-2冰雹云的红外云图为个例进行检验。结果表明:该系统能够有效提取反映对流云团纹理特征的参数值;汛期强对流云红外云图的能量值接近1,比惯性矩和熵的特征量大2个量级。 Based on the textural analytic theory of gray scale co-occurrence matrix, the geosynchronous satellite IR image analytic system was made. Fifty pieces of FY-2 IR image, which attended by violent convective weather in the west areas of Gansu province in flood season from 2003 to 2004, were selected to compute the inertia, entropy and energy quadrature. A hail case ,which happened on 29th June,2004, was selected to validate the software system. The results show that the geosynchronous satellite IR image analytic system is good for monitoring violent convective weather system, and for the convective weather system, the getparms value of the energy is closed to the value one . On the contrary, the values of the inertia and entropy are closed to zero, the getparms value of the energy is two scalar higher than those of entropy and entropy.
出处 《干旱气象》 2005年第2期50-53,63,共5页 Journal of Arid Meteorology
基金 酒泉市气象局创新项目(2003-05)资助
关键词 纹理 灰度共现矩阵 红外云图 对流 天气系统 texture gray level co-occurrence matrix IR image convection weather system
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