Progress and prospects for research on Martian topographic features and typical landform identification

IF 2.6 3区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
Liu Danyang, Cheng Weiming
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引用次数: 0

Abstract

The study of Martian surface topography is important for understanding the geological evolution of Mars and revealing the spatial differentiation of the Martian landscape. Identifying typical landform units is a fundamental task when studying the origin and evolution of Mars and provides important information for landing on and exploring Mars, as well as estimating the age of the Martian surface and inferring the evolution of the Earth’s environment. In this paper, we first investigate Mars exploration, data acquisition and mapping, and the classification methods of Martian landforms. Then, the identification of several typical Martian landform types, such as aeolian landforms, fluvial landforms, and impact landforms, is shown in detail. Finally, the prospects of Mars data acquisition, landform mapping, and the construction and identification of the Martian landform classification system are presented. The construction of the Martian landform classification system and the identification of typical Martian landforms using deep learning are important development directions in planetary science.
火星地形特征与典型地貌识别研究进展与展望
研究火星地表地形对了解火星地质演化、揭示火星地貌空间分异具有重要意义。识别典型地貌单元是研究火星起源和演化的基础任务,为登陆和探索火星、估计火星表面年龄和推断地球环境演化提供重要信息。本文首先对火星探测、数据采集与制图以及火星地貌分类方法进行了研究。然后,详细介绍了几种典型火星地貌类型的识别,如风成地貌、河流地貌和撞击地貌。最后,展望了火星数据采集、地貌制图、火星地貌分类系统构建与识别的发展前景。构建火星地貌分类体系,利用深度学习识别火星典型地貌,是行星科学的重要发展方向。
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来源期刊
Frontiers in Astronomy and Space Sciences
Frontiers in Astronomy and Space Sciences ASTRONOMY & ASTROPHYSICS-
CiteScore
3.40
自引率
13.30%
发文量
363
审稿时长
14 weeks
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