Satellite cloud image texture feature extraction based on Gabor wavelet

Author

Fu, Desheng ; Xu, Lijuan

Author_Institution

Coll. of Comput. & Software, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China

Volume

1

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

248

Lastpage

251

Abstract

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 2D-Gabor 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 co-occurrence matrix has higher classification accuracy.

Keywords

Gabor filters; atmospheric techniques; clouds; feature extraction; geophysical image processing; image classification; image resolution; image texture; matrix algebra; meteorology; remote sensing; wavelet transforms; 2D Gabor wavelet; cloud classification method; gray level cooccurrence matrix; multiresolution multichannel texture analysis algorithm; satellite cloud image texture feature extraction; Clouds; Feature extraction; Gabor filters; Image recognition; Manganese; Satellites; Wavelet transforms; Gabor wavelet; cloud classification; satellite cloud image; texture feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100004

Filename

6100004