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2021 | OriginalPaper | Chapter

Feature Based Lunar Mare Volcanic Dome Recognition

Author : Zhe Shen

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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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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Metadata
Title
Feature Based Lunar Mare Volcanic Dome Recognition
Author
Zhe Shen
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4572-0_100

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