Automatic approach to deriving fuzzy slope positions
文献类型：期刊论文
| 作者 | Zhu, Liang-Jun1,2; Zhu, A-Xing1,3,4,5,6 ; Qin, Cheng-Zhi1,2,6; Liu, Jun-Zhi3,4,6
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| 刊名 | GEOMORPHOLOGY
 |
| 出版日期 | 2018-03-01 |
| 卷号 | 304页码:173-183 |
| 关键词 | Slope position Fuzzy membership Automation Parallel computing |
| ISSN号 | 0169-555X |
| DOI | 10.1016/j.geomorph.2017.12.024 |
| 通讯作者 | Qin, Cheng-Zhi(qincz@lreis.ac.cn) |
| 英文摘要 | Fuzzy characterization of slope positions is important for geographic modeling. Most of the existing fuzzy classification-based methods for fuzzy characterization require extensive user intervention in data preparation and parameter setting, which is tedious and time-consuming. This paper presents an automatic approach to overcoming these limitations in the prototype-based inference method for deriving fuzzy membership value (or similarity) to slope positions. The key contribution is a procedure for finding the typical locations and setting the fuzzy inference parameters for each slope position type. Instead of being determined totally by users in the prototype-based inference method, in the proposed approach the typical locations and fuzzy inference parameters for each slope position type are automatically determined by a rule set based on prior domain knowledge and the frequency distributions of topographic attributes. Furthermore, the preparation of topographic attributes (e.g., slope gradient, curvature, and relative position index) is automated, so the proposed automatic approach has only one necessary input, i.e., the gridded digital elevation model of the study area. All compute-intensive algorithms in the proposed approach were speeded up by parallel computing. Two study cases were provided to demonstrate that this approach can properly, conveniently and quickly derive the fuzzy slope positions. (C) 2018 Elsevier B.V. All rights reserved. |
| WOS关键词 | LANDFORM ELEMENTS ; TERRAIN ANALYSIS ; CLASSIFICATION ; SEGMENTATION ; GEOMETRY ; LOGIC ; DEMS |
| 资助项目 | Natural Science Foundation of China[41422109] ; Natural Science Foundation of China[41431177] ; Innovation Project of LREIS[O88RA20CYA] ; Natural Science Foundation of Jiangsu Province of China[BK20150975] |
| WOS研究方向 | Physical Geography ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000426023400014 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | Natural Science Foundation of China ; Innovation Project of LREIS ; Natural Science Foundation of Jiangsu Province of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56994]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China 4.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China 5.Univ Wisconsin Madison, Dept Geog, Madison, WI 53706 USA 6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Liang-Jun,Zhu, A-Xing,Qin, Cheng-Zhi,et al. Automatic approach to deriving fuzzy slope positions[J]. GEOMORPHOLOGY,2018,304:173-183. |
| APA | Zhu, Liang-Jun,Zhu, A-Xing,Qin, Cheng-Zhi,&Liu, Jun-Zhi.(2018).Automatic approach to deriving fuzzy slope positions.GEOMORPHOLOGY,304,173-183. |
| MLA | Zhu, Liang-Jun,et al."Automatic approach to deriving fuzzy slope positions".GEOMORPHOLOGY 304(2018):173-183. |
入库方式： OAI收割
来源：地理科学与资源研究所
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