Japan Geoscience Union Meeting 2021

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS12] Planetary Volcanology

Sat. Jun 5, 2021 9:00 AM - 10:30 AM Ch.02 (Zoom Room 02)

convener:Rina Noguchi(Faculty of Science, Niigata University), Nobuo Geshi(Geological Survey of Japan, The National Institute of Advanced Industrial Science and Technology), Tomokatsu Morota(Department of Earth and Planetary Science, The University of Tokyo), Chairperson:Rina Noguchi(Faculty of Science, Niigata University), Nobuo Geshi(Geological Survey of Japan, The National Institute of Advanced Industrial Science and Technology), Tomokatsu Morota(Department of Earth and Planetary Science, The University of Tokyo)

10:00 AM - 10:15 AM

[MIS12-05] Development of an efficient geological survey method for volcanoes on extraterrestrial bodies

★Invited Papers

*Junichi Haruyama1, Rina Noguchi1, Nobuo Geshi2, Motomaro Shirao3, Keiichiro Fujimoto1, Daigo Shoji1 (1.Japan Aerospace Exploration Agency, 2.National Institute of Advanced Industrial Science and Technology, 3.Institute of Planetary Geology)

Keywords:planetary volcanism, geological survey , improving efficiency, image analysis, robotics, outcrop

Conventional outcrop surveys such as volcanic fieldwork have mainly been conducted by the expertized researchers based on tacit knowledge. Such conventional surveys have significant time limitations due to the weather changes and the accessibility limitation due to the rugged terrain, which is resulting in many problems such as losing the chance to obtain valuable data. With the remarkable advancement of unmanned aerial vehicles and autonomous robots in recent years, a large amount of data can be obtained quickly even in the outcrops where researchers' reconnaissance is usually difficult. To exploit the benefit of these advanced technologies, the establishment of new survey methods is important in terms of the scientific research fields and the industrial fields. An efficient geological survey method based on the extraction of the in-situ geological information by computational image processing has been investigated in this study. While research efforts have been made on the image segmentation and texture classification to extract the geological information, little research efforts have been made to establish the algorithm to evaluate the scientific importance metrics based on the segmentation and texture classification results to achieve a new practical geological survey method. Development of the efficient geological survey method based on such scientific importance metrics is underway in this study. It will contribute to improving the efficiency and effectiveness of the geological surveys for outcrops of volcano regions, even for extraterrestrial ones. Advantages and the features of the proposed method and the research status are presented and discussed.