Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge

Lunar craters are important geomorphological features, that provide valuable insights into lunar morphology, geology, and impact processes. However, the current understanding of lunar craters of different sizes, especially smaller craters (diameter <5 km), is still incomplete. The lack of understand...

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Bibliografski detalji

Glavni autori:	Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2025-01-01
Serija:	Geo-spatial Information Science
Teme:	Crater detection algorithms (CDAs) topographic knowledge lunar craters deep learning digital elevation model (DEM)
Online pristup:	https://www.tandfonline.com/doi/10.1080/10095020.2025.2452932
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