Satellite cloud image texture feature extraction based on Gabor wavelet
In recent years, multi-resolution ％ multi-channel texture analysis algorithm get extensive attention, and become the important development direction of the texture analysis. According to the satellite cloud images, this paper put forward the cloud classification method based on texture feature of 2DGabor wavelet. Experiments show that the 2D-Gabor wavelet texture features can achieve better classification of clouds, take this method compared with the method of gray level cooccurrence matrix has higher classification accuracy.
texture feature Gabor wavelet satellite cloud image cloud classification
Desheng Fu Lijuan Xu
College of Computer and Software Nanjing University of Information Science and Technology Nanjing, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
258-261
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）