The Application of Landscape Ecological Concepts and Object Segmentation to Land Use Classification

doi:10.6046/gtzyyg.2011.01.24

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Abstract Land use in urban areas is crucial for urban land management decision-making, environment monitoring and urban planning. According to the landscape ecology concept that the landscape patterns within the same land use type are similar, this paper presents a new land use classification approach which integrates landscape characteristics and high-spatial resolution remote sensing data. Some key landscape metrics were selected to quantify the landscape patterns of different land uses. Then, the integration of SPOT image and landscape characteristics was applied to land use classification within the 5th Ring Road of Beijing. The overall land use classification accuracy was 85.9% with Kappa parameter being 71.1%. The results show that the specific landscape patterns of different land use types would significantly contribute to improving land use classification, and could potentially be applied to other urban areas.

Keywords Probabilistic neural network Remote sensing image classification Back-propagation neural network

TP 79

Issue Date: 22 March 2011

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	LI Chao-feng
	YANG Mao-long
	XU Lei
	YANG Meng-zhao

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LI Chao-feng,YANG Mao-long,XU Lei, et al. The Application of Landscape Ecological Concepts and Object Segmentation to Land Use Classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 118-122.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.01.24 OR https://www.gtzyyg.com/EN/Y2011/V23/I1/118

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