基于DEM和地貌计量的月球形貌类型自动制图（英文）

编号 zgly0001584238

文献类型 期刊论文

文献题名 基于DEM和地貌计量的月球形貌类型自动制图（英文）

作者 王娇  程维明  周成虎  郑新奇 

作者单位 SchoolofInformationEngineering  ChinaUniversityofGeosciences  StateKeyLaboratoryofResourcesandEnvironmentalInformationSystem  InstituteofGeographicSciencesandNaturalResourcesResearch  CAS 

母体文献 Journal of Geographical Sciences 

年卷期 2017年11期

年份 2017 

分类号 P184 

关键词 automaticclassification  geomorphometricparameters  ISOcluster  lunarlandforms  DEM 

文摘内容 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.