automaticmappingoflunarlandformsusingdemderivedgeomorphometricparameters

	automaticmappingoflunarlandformsusingdemderivedgeomorphometricparameters
	Wang Jiao 1; Cheng Weiming 2; Zhou Chenghu 2; Zheng Xinqi 1
刊名	journalofgeographicalsciences
	2017
卷号	27 期号:11 页码:1413
ISSN号	1009-637X
英文摘要	Developing 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.
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/94397]
专题	中国科学院地理科学与资源研究所
作者单位	1.中国地质大学 2.中国科学院地理科学与资源研究所
推荐引用方式 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.