Object-based high spatial resolution imagery analysis for landscape pattern extraction

doi:10.6046/gtzyyg.2014.04.08

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Abstract

The development of high spatial resolution remote sensing makes it possible to describe the urban fringe landscape pattern at the small scales by using remote sensing images. In this study, focusing on the method for integrating describing landscape patch mosaic, continuum and connectivity characteristics, the authors tried to set up a Delaunay-Voronoi hybrid landscape model based on high spatial resolution imagery object-based analysis. This method was also compared with the traditional pixel aggregation method. The result shows that the image segmentation method can well preserve the tiny critical landscape characteristics and postpone their disappearance during the pushing-up of the scale, and that Delaunay-Voronoi-based data structure is suitable for representing the hybrid landscape model and its multi-scale analysis.

Keywords islands and reefs in the South China Sea tropical storm buffer analysis spatialtopological analysis

TP751.1

Issue Date: 17 September 2014

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	SUN Chao
	LIU Yongxue
	LI Manchun
	CHEN Zhenjie
	ZHAO Saishuai

Cite this article:

SUN Chao,LIU Yongxue,LI Manchun, et al. Object-based high spatial resolution imagery analysis for landscape pattern extraction[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 46-50.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.04.08 OR https://www.gtzyyg.com/EN/Y2014/V26/I4/46

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