Technology Application |
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Land-use Classification of Islands Based on Decision-tree Method |
YANG Xi-guang1,2, HUANG Hai-jun1, YAN Li-wen1, DU Ben-xu3 |
1. Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. Dalian Forestry Bureau, Dalian 116023, China |
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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.
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Keywords
light detection and ranging (LiDAR)
classification of point clouds
vegetation
building
object-based
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Issue Date: 03 June 2012
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