Land-use Classification of Islands Based on Decision-tree Method

doi:10.6046/gtzyyg.2012.02.21

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Abstract With Moye island of Rongcheng city in Shandong province as the study area, the authors investigated the application of decision-tree method to land-use classification based on SPOT 5 satellite data. The results show that the decision-tree method is suitable for classification,with the mean precision and Kappa index being 86.46% and 0.8414 respectively. A comparison with the other traditional classification methods shows that the precision of decision-tree method is obviously higher, suggesting that the method of decision-tree classification has better applicable potential than the other methods in land-use classification research.

Keywords light detection and ranging (LiDAR) classification of point clouds vegetation building object-based

TP 79

Issue Date: 03 June 2012

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	XU Hong-gen
	WANG Jian-chao
	ZHENG Xiong-wei
	WU Fang
	LI Qian

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XU Hong-gen,WANG Jian-chao,ZHENG Xiong-wei, et al. Land-use Classification of Islands Based on Decision-tree Method[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(2): 116-120.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.02.21 OR https://www.gtzyyg.com/EN/Y2012/V24/I2/116

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