The Application of Extended LBP Texture in High Resolution Remote Sensing Image Classification

doi:10.6046/gtzyyg.2010.04.09

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Abstract

High-resolution remote sensing images have rich texture information, and combined texture information and image spectral information can improve the recognition accuracy of surface feature. In this paper, a new extended Local Binary Patterns (LBP) texture was applied to the high-resolution images classification in comparison with classifications using spectral data only and using combined spectral data and LBP texture features. The results show that the extended LBP has a good anti-noise performance, and the classification of image including the extended LBP texture can achieve a higher accuracy than the classifications using spectral data alone and using combined spectral data and LBP texture features.

Keywords Hyperspectral imaging Minerals identification Spectrum decision rules Hyperion data Qulong

TP 75

Issue Date: 02 August 2011

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	GAN Fu-ping
	WANG Run-sheng
	YANG Su-ming

Cite this article:

GAN Fu-ping,WANG Run-sheng,YANG Su-ming. The Application of Extended LBP Texture in High Resolution Remote Sensing Image Classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 40-45.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.04.09 OR https://www.gtzyyg.com/EN/Y2010/V22/I4/40

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