The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery

Abstract When the leaf area index (LAI) of a forest reaches 3, the problem of spectrum saturation becomes the main limitation to improving the accuracy of the LAI estimate. A sensitivity analysis of the Grey Level Co-occurrence Matrix (GLCM) parameters which can be applied to satellite image process...

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Autores principales:	Jingjing Zhou, Rui Yan Guo, Mengtian Sun, Tajiguli Tu Di, Shan Wang, Jiangyuan Zhai, Zhong Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ce697c94121a43bf99974af5f0445b3d
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spelling	oai:doaj.org-article:ce697c94121a43bf99974af5f0445b3d2021-12-02T12:31:50ZThe Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery10.1038/s41598-017-07951-w2045-2322https://doaj.org/article/ce697c94121a43bf99974af5f0445b3d2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07951-whttps://doaj.org/toc/2045-2322Abstract When the leaf area index (LAI) of a forest reaches 3, the problem of spectrum saturation becomes the main limitation to improving the accuracy of the LAI estimate. A sensitivity analysis of the Grey Level Co-occurrence Matrix (GLCM) parameters which can be applied to satellite image processing and analysis showed that the most important parameters included orientation, displacement and moving window size. We calculated the values of Angular Second Moment (ASM), Entropy (ENT), Correlation (COR), Contrast (CON), Dissimilarity (DIS) and Homogeneity (HOM) from Quickbird panchromatic imagery using a GLCM method. Four orientations, seven displacements and seven window sizes were considered. An orientation of 90° was best for estimating the LAI of black locust forest, regardless of moving window size, displacement and texture parameters. Displacements of 3 pixels appeared to be best. The orientation and window size had only a little influence on these settings. The highest adjusted r2 values were obtained using a 3 × 3 moving window size for ASM and ENT. The tendency of CON, COR, DIS and HOM to vary with window size was significantly affected by orientation. This study can help with parameter selection when texture features from high resolution imagery are used to estimate broad-leaved forest structure information.Jingjing ZhouRui Yan GuoMengtian SunTajiguli Tu DiShan WangJiangyuan ZhaiZhong ZhaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jingjing Zhou Rui Yan Guo Mengtian Sun Tajiguli Tu Di Shan Wang Jiangyuan Zhai Zhong Zhao The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
description	Abstract When the leaf area index (LAI) of a forest reaches 3, the problem of spectrum saturation becomes the main limitation to improving the accuracy of the LAI estimate. A sensitivity analysis of the Grey Level Co-occurrence Matrix (GLCM) parameters which can be applied to satellite image processing and analysis showed that the most important parameters included orientation, displacement and moving window size. We calculated the values of Angular Second Moment (ASM), Entropy (ENT), Correlation (COR), Contrast (CON), Dissimilarity (DIS) and Homogeneity (HOM) from Quickbird panchromatic imagery using a GLCM method. Four orientations, seven displacements and seven window sizes were considered. An orientation of 90° was best for estimating the LAI of black locust forest, regardless of moving window size, displacement and texture parameters. Displacements of 3 pixels appeared to be best. The orientation and window size had only a little influence on these settings. The highest adjusted r2 values were obtained using a 3 × 3 moving window size for ASM and ENT. The tendency of CON, COR, DIS and HOM to vary with window size was significantly affected by orientation. This study can help with parameter selection when texture features from high resolution imagery are used to estimate broad-leaved forest structure information.
format	article
author	Jingjing Zhou Rui Yan Guo Mengtian Sun Tajiguli Tu Di Shan Wang Jiangyuan Zhai Zhong Zhao
author_facet	Jingjing Zhou Rui Yan Guo Mengtian Sun Tajiguli Tu Di Shan Wang Jiangyuan Zhai Zhong Zhao
author_sort	Jingjing Zhou
title	The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
title_short	The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
title_full	The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
title_fullStr	The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
title_full_unstemmed	The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery
title_sort	effects of glcm parameters on lai estimation using texture values from quickbird satellite imagery
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/ce697c94121a43bf99974af5f0445b3d
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The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery

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