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	Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks
	Qin, Cheng-Zhi1,2,3; Wu, Xue-Wei1,3; Jiang, Jing-Chao4; Zhu, A-Xing1,2,5,6
刊名	Hydrology and earth system sciences
	2016-08-23
卷号	20期号:8页码:3379-3392
ISSN号	1027-5606
DOI	10.5194/hess-20-3379-2016
通讯作者	Qin, cheng-zhi(qincz@lreis.ac.cn)
英文摘要	Application of digital terrain analysis (dta), which is typically a modeling process involving workflow building, relies heavily on dta domain knowledge of the match between the algorithm (and its parameter settings) and the application context (including the target task, the terrain in the study area, the dem resolution, etc.), which is referred to as application-context knowledge. however, existing dta-assisted tools often cannot use application-context knowledge because this type of dta knowledge has not been formalized to be available for inference in these tools. this situation makes the dta workflow-building process difficult for users, especially non-expert users. this paper proposes a case-based formalization for dta application-context knowledge and a corresponding case-based reasoning method. a case in this context consists of a series of indices that formalize the dta application-context knowledge and the corresponding similarity calculation methods for case-based reasoning. a preliminary experiment to determine the catchment area threshold for extracting drainage networks has been conducted to evaluate the performance of the proposed method. in the experiment, 124 cases of drainage network extraction (50 for evaluation and 74 for reasoning) were prepared from peer-reviewed journal articles. preliminary evaluation shows that the proposed case-based method is a suitable way to use dta application-context knowledge to achieve a marked reduction in the modeling burden for users.
WOS关键词	SLOPE ; RESOLUTION
WOS研究方向	Geology ; Water Resources
WOS类目	Geosciences, Multidisciplinary ; Water Resources
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000383798800001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2376023
专题	中国科学院大学
通讯作者	Qin, Cheng-Zhi
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing 210023, Jiangsu, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Hangzhou Dianzi Univ, Smart City Res Ctr, Hangzhou 310012, Zhejiang, Peoples R China 5.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 6.Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Qin, Cheng-Zhi,Wu, Xue-Wei,Jiang, Jing-Chao,et al. Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks[J]. Hydrology and earth system sciences,2016,20(8):3379-3392.
APA	Qin, Cheng-Zhi,Wu, Xue-Wei,Jiang, Jing-Chao,&Zhu, A-Xing.(2016).Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks.Hydrology and earth system sciences,20(8),3379-3392.
MLA	Qin, Cheng-Zhi,et al."Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks".Hydrology and earth system sciences 20.8(2016):3379-3392.

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