IGSNRR OpenIR
automaticmappingoflunarlandformsusingdemderivedgeomorphometricparameters
Wang Jiao1; Cheng Weiming2; Zhou Chenghu2; Zheng Xinqi1
2017
Source Publicationjournalofgeographicalsciences
ISSN1009-637X
Volume27Issue:11Pages:1413
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.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/94398
Collection中国科学院地理科学与资源研究所
Affiliation1.中国地质大学
2.中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Wang Jiao,Cheng Weiming,Zhou Chenghu,et al. automaticmappingoflunarlandformsusingdemderivedgeomorphometricparameters[J]. journalofgeographicalsciences,2017,27(11):1413.
APA Wang Jiao,Cheng Weiming,Zhou Chenghu,&Zheng Xinqi.(2017).automaticmappingoflunarlandformsusingdemderivedgeomorphometricparameters.journalofgeographicalsciences,27(11),1413.
MLA Wang Jiao,et al."automaticmappingoflunarlandformsusingdemderivedgeomorphometricparameters".journalofgeographicalsciences 27.11(2017):1413.
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