Extraction of Dune Crest Lines and Calculation of Dune-field Pattern Parameters on Remote Sensing Image Based on MATLAB Platform

doi:10.7522/j.issn.1000-694X.2013.00251

JOURNAL OF DESERT RESEARCH

2013, Vol. 33

Issue (6): 1636-1642 DOI: 10.7522/j.issn.1000-694X.2013.00251

Desert and Desertification

Extraction of Dune Crest Lines and Calculation of Dune-field Pattern Parameters on Remote Sensing Image Based on MATLAB Platform

JIANG Chan-wen, DONG Zhi-bao, WEN Qing

Key laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China

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Abstract

The remote sensing images provide reliable materials for the regional aeolian geomorphology study along with the development of modern science and technology. In recent years, some scientists proposed the pattern analysis method of dune-field parameters on remote sensing images: Firstly, draw the dune crest lines on remote sensing image; Then, measure and calculate the dune-field pattern parameters; Finally, analyze the probability distribution, spatial variation, influencing factors and formation time of dune-field. In the study, we used the image processing algorithm to draw the dune crest lines at a typical transverse dune area in the Tengery Desert on Google Earth images based on MATLAB Platform, then the parameters of dune spacing, defect density, crest orientation and crest length were calculated. The results showed that this method is fast and reliable and provided a new method for dune crest lines extraction.

Key words: remote sensing image MATLAB platform dune-field pattern parameters image processing dune crest line

Received: 31 October 2012 Published: 22 November 2012

ZTFLH:

P931.3



	Articles by authors
	JIANG Chan-wen
	DONG Zhi-bao
	WEN Qing

Cite this article:

JIANG Chan-wen, DONG Zhi-bao, WEN Qing. Extraction of Dune Crest Lines and Calculation of Dune-field Pattern Parameters on Remote Sensing Image Based on MATLAB Platform. JOURNAL OF DESERT RESEARCH, 2013, 33(6): 1636-1642.

URL:

http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00251 OR http://www.desert.ac.cn/EN/Y2013/V33/I6/1636

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