Comparison of land use identification and classification using different models for E0-1 Hyperion images

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	Comparison of land use identification and classification using different models for E0-1 Hyperion images
	Liu Yansui
	2013
关键词	Image processing Identification (control systems) Pixels Reflection
英文摘要	Based on E0-1 Hyperion data, images which enclose the Higher Education Mega Center were cut, and endmembers for classification objects were picked up directly from images. Spectrum angle matching and mixed pixels linear decomposition method including non-constrained and condition restriction were applied for land cover identification and classification, and classification maps were created. Two parameters, Kappa coefficient and total accuracy, were chosen to compare the effects for object identifying. Total accuracy from the three classification maps was higher than 60%, while Kappa coefficients fell between 0.61-0.80. And the results indicated three classification methods were adoptive for E0-1 Hyperion images. However, spectrum angle matching and mixed pixels linear decomposition method with condition restriction were more precise than mixed pixels linear decomposition method with non-constrained. Two parameters were different among different land cover classifications. Three methods were fit for natural surface identification and classification, such as user accuracy, for forest and grassland surface, were higher than 80%, while that for bare land and water body were still higher than 50%. It was also found that artificial and high reflectance surface could be classified with accuracy 100%, while it could not acquire higher value to cement concrete old roofs and low reflectance surface. However, spectrum angle matching and mixed pixels linear decomposition method with condition restriction have obvious advantage with accuracy higher than 71.4%.
出处	Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering
卷	21 期:3 页:453-462
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/31152]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Liu Yansui. Comparison of land use identification and classification using different models for E0-1 Hyperion images. 2013.