Variogram texture extraction and classification of high resolution remote sensing images based on multi-resolution segmentation

doi:10.6046/gtzyyg.2015.04.08

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Abstract

As an effective tool for extracting the texture, the variogram can be used to describe the properties of structure and randomness of the images. The utilization of the traditional variogram texture extraction method with a moving window has the border effect and also has difficulty in determining the appropriate window size. To solve this problem, the authors tentatively selected the WorldView-2 image of the bare rocks in Yingisar County, Xinjiang, extracted the variogram textures based on three scale segmentation results with multi-resolution segmentation algorithm, and then superimposed them on the original multi-spectral images for lithological discrimination. The authors further compared the results of multi-resolution segmentation with moving window. The experimental results show that the texture information extraction based on segmentation could eliminate the border effect, relieve the shadow effect and improve the accuracy of lithological classification. It is found that there are some differences in identifying the effects of extracting the textures on different segmentation scales based on multi-resolution segmentation. The method proposed in this paper is more stable and reasonable than that of moving window method once an appropriate segmentation scale is set.

Keywords remote sensing (RS) geographic information system (GIS) mining area environment condition evaluation mine greening action Yuanyang gold mining area

TP751.1

Issue Date: 23 July 2015

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	CHEN Qi
	ZHAO Zhifang
	HE Binxian
	WANG Di
	XI Jing

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CHEN Qi,ZHAO Zhifang,HE Binxian, et al. Variogram texture extraction and classification of high resolution remote sensing images based on multi-resolution segmentation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 47-53.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.04.08 OR https://www.gtzyyg.com/EN/Y2015/V27/I4/47

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