The Application of Wavelet Transform in the Analysis of Leymus Chinensis Communities Vegettion Pattern

Author

Su, Zhigang ; Xiong, Ying

Author_Institution

Dept. of Comput. Applic., Shenzhen Inst. of Inf. Technol., Shenzhen, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

Based on the survey in the field, wavelet theory was adopted to analyze experimentally the distribution characteristics of Leymus chinensis vegetation coverage, on different scales in a 1000-meter-long sample belt. A suspending problem in studying simultaneously the vegetation pattern scale, intensity and grain on different scales was solved according to the analysis of projection figure of wavelet transform on different scales. This leads to find the feature that changes of vegetation pattern on different scales are consistent with fractal characteristics.

Keywords

geophysical signal processing; vegetation mapping; wavelet transforms; Leymus chinensis; fractal characteristics; size 1000 m; vegetation pattern scale; wavelet transform; Fourier transforms; Fractals; Frequency; Image color analysis; Information analysis; Pattern analysis; Signal analysis; Vegetation; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4132-7

Electronic_ISBN

978-1-4244-4134-1

Type

conf

DOI

10.1109/BMEI.2009.5305744

Filename

5305744