An improved double-branch network for estimation of crater ages based on semi-supervised learning and multi-source Lunar data

While various methods have been developed to estimate the age of impact craters, such as the crater size frequency distribution and morphology methods. Accurately and efficiently estimating the ages of lunar craters using traditional techniques is challenging due to their complex morphology and larg...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2023-07, p.1-12
Hauptverfasser:	Hong, Zhonghua, Zhong, Linxuan, Tong, Xiaohua, Pan, Haiyan, Zhou, Ruyan, Zhang, Yun, Han, Yanling, Wang, Jing, Yang, Shuhu, He, Haiyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Crater-age classification Deep learning double-branch network Feature extraction Geology Moon Morphology multi-source lunar data Remote sensing semi-supervised learning Training
Online-Zugang:	Volltext
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