Abstract
As the rising requirements of volcano analysis of terrestrial planets, researches of volcanic domes become more important in recent years. Analysis on domes helps the researches of extraterrestrial resource development, life detection and planet thermal evolution. Traditionally, domes are normally extracted with naked eye, this is inefficient and cost large amount of resources. In the research, we use some features to detect domes in lunar mare automatically. It contains contour extraction, circular structure detection and dome recognition. Some features are selected to express the basic morphology of domes. We use contour maps to extract circular structures, and then use parameters like roundness, slope, and height-diameter rate to distinguish domes from these structures. We test the method near Hortensius-Milichius area, the recognition accuracy approach 66.67% and some new domes are marked. Detected domes mainly locate near the radially distributed linear structures, the formation is considered as the volcanism caused by strong impacts.
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Shen, Z. (2021). Feature Based Lunar Mare Volcanic Dome Recognition. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_100
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DOI: https://doi.org/10.1007/978-981-33-4572-0_100
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