Automatic Crater Detection by Training Random Forest Classifiers with Legacy Crater Map and Spatial Structural Information Derived from Digital Terrain Analysis.

Detection of craters is important not only for planetary research but also for engineering applications. Although the existing crater detection approaches (CDAs) based on terrain analysis consider the topographic information of craters, they do not take into account the spatial structural informatio...

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Bibliographic Details

Published in:	Annals of the American Association of Geographers Vol. 112; no. 5; pp. 1328 - 1350
Main Authors:	Wang, Yan-Wen, Qin, Cheng-Zhi, Cheng, Wei-Ming, Zhu, A-Xing, Wang, Yu-Jing, Zhu, Liang-Jun
Format:	Article
Published:	Taylor & Francis Ltd 2022
Subjects:	Random forest algorithms Landforms Altimeters Geomorphological mapping
Online Access:	View this record in EBSCOhost