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Automatic mapping of lunar landforms using DEM-derived geomorphometric parameters
Wang Jiao1,2; Cheng Weiming2; Zhou Chenghu2; Zheng Xinqi1
2017-11-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume27Issue:11Pages:1413-1427
Corresponding AuthorCheng Weiming(chengwm@lreis.ac.cn)
AbstractDeveloping approaches to automate the analysis of the massive amounts of data sent back from the Moon will generate significant benefits for the field of lunar geomorphology. In this paper, we outline an automated method for mapping lunar landforms that is based on digital terrain analysis. An iterative self-organizing (ISO) cluster unsupervised classification enables the automatic mapping of landforms via a series of input raster bands that utilize six geomorphometric parameters. These parameters divide landforms into a number of spatially extended, topographically homogeneous segments that exhibit similar terrain attributes and neighborhood properties. To illustrate the applicability of our approach, we apply it to three representative test sites on the Moon, automatically presenting our results as a thematic landform map. We also quantitatively evaluated this approach using a series of confusion matrices, achieving overall accuracies as high as 83.34% and Kappa coefficients (K) as high as 0.77. An immediate version of our algorithm can also be applied for automatically mapping large-scale lunar landforms and for the quantitative comparison of lunar surface morphologies.
Keywordautomatic classification geomorphometric parameters ISO cluster lunar landforms DEM
DOI10.1007/s11442-017-1443-z
WOS KeywordDIGITAL ELEVATION MODELS ; CLASSIFICATION ; TOPOGRAPHY ; EXTRACTION ; MAPS ; NETWORKS ; SLOPE ; UNITS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571388] ; National Special Basic Research Fund[2015FY210500]
Funding OrganizationNational Natural Science Foundation of China ; National Special Basic Research Fund
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000413227400008
PublisherSCIENCE PRESS
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62498
Collection中国科学院地理科学与资源研究所
Corresponding AuthorCheng Weiming
Affiliation1.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wang Jiao,Cheng Weiming,Zhou Chenghu,et al. Automatic mapping of lunar landforms using DEM-derived geomorphometric parameters[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2017,27(11):1413-1427.
APA Wang Jiao,Cheng Weiming,Zhou Chenghu,&Zheng Xinqi.(2017).Automatic mapping of lunar landforms using DEM-derived geomorphometric parameters.JOURNAL OF GEOGRAPHICAL SCIENCES,27(11),1413-1427.
MLA Wang Jiao,et al."Automatic mapping of lunar landforms using DEM-derived geomorphometric parameters".JOURNAL OF GEOGRAPHICAL SCIENCES 27.11(2017):1413-1427.
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