Classification Algorithm of High Spatial Resolution Imagery Based on Spectrum and Texture Features

HUANG Li-xian; SHEN Zhi-xue; LUO Yong-quan; ZHANG Da-yong

Electro-Optic Technology Application, Volume. 29, Issue 3, 34(2014)

HUANG Li-xian... SHEN Zhi-xue, LUO Yong-quan and ZHANG Da-yong |Show fewer author(s)

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According to the characteristics of high resolution remote sensing spectral images, a classification algorithm with texture and spectral information is described. Traditional local binary patterns variance (LBPV) is improved to apply in land-cover classification of high resolution images. The results show that LBPV has better spatial continuity and higher classification accuracy.

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LBPV local binary pattern variance (LBPV)spectral classification texture

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HUANG Li-xian, SHEN Zhi-xue, LUO Yong-quan, ZHANG Da-yong. Classification Algorithm of High Spatial Resolution Imagery Based on Spectrum and Texture Features[J]. Electro-Optic Technology Application, 2014, 29(3): 34

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