The application of entropy in the urban green information extraction of high resolution remote sensing

Author

Zhao, Shuhe ; Feng, Xuezhi ; Shuhe Zhao

Author_Institution

Dept. of Geogr. Inf. Sci., Nanjing Univ., Nanjing, China

fYear

2011

fDate

26-28 March 2011

Firstpage

604

Lastpage

607

Abstract

Entropy is the important texture feature of an image in spatial domain, also it can be applied in frequency domain to detect the texture feature. QuickBird images of Nanjing, China are considered in this paper. Features of street tree images are extracted using the entropy texture based on GLCM firstly. Then images are transferred into Fourier domain, image features are extracted based on entropy feature by Gabor filter. The advantages and disadvantages of the two methods are analysised, the precision of them are compared and the application future of entropy is discussed.

Keywords

Fourier transforms; Gabor filters; entropy; feature extraction; geophysical image processing; image texture; remote sensing; China; Fourier domain; Gabor filter; Nanjing; Quickbird image; entropy application; high resolution remote sensing; image feature extraction; spatial domain; street tree image; texture feature; urban green information extraction; Cutoff frequency; Entropy; Feature extraction; Frequency domain analysis; Gabor filters; Remote sensing; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Technology (ICIST), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9440-8

Type

conf

DOI

10.1109/ICIST.2011.5765322

Filename

5765322