Mawrth Vallis, Mars, classified using the NOAH-H deep-learning terrain classification system

IF 1.9 4区 地球科学 Q2 GEOGRAPHY
Alexander M. Barrett, Peter Fawdon, Elena A. Favaro, Matthew R. Balme, Jack Wright, Mark J. Woods, Spyros Karachalios, Eleni Bohacek, Levin Gerdes, Elliot Sefton-Nash, Luc Joudrier
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引用次数: 0

Abstract

A deep learning (DL) terrain classification system, the Novelty and Anomaly Hunter – HiRISE (NOAH-H) was used to produce a terrain map of Mawrth Vallis, Mars. With it, we digitised the extent and d...
火星Mawrth Vallis,使用NOAH-H深度学习地形分类系统进行分类
利用深度学习(DL)地形分类系统“新奇与异常猎人- HiRISE”(NOAH-H)生成了火星Mawrth Vallis的地形图。有了它,我们数字化了范围和…
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来源期刊
Journal of Maps
Journal of Maps 地学-自然地理
CiteScore
4.30
自引率
9.10%
发文量
83
审稿时长
6-12 weeks
期刊介绍: The Journal of Maps is a peer-reviewed, inter-disciplinary, online journal that aims to provide a forum for researchers to publish maps and spatial diagrams.
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