Japan Geoscience Union Meeting 2019

Presentation information

[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI37] Earth and planetary informatics with huge data management

Sun. May 26, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Ken T. Murata(National Institute of Information and Communications Technology), Rie Honda(Department of Science and Technology, System of Natual Science, Kochi University), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University)

[MGI37-P08] Development of smooth area detection method for selection of landing site on a small body

Yuki Fujii1, *Rie Honda1, Tomokatsu Morota4, yokota yasuhiro2, ERI TATSUMI3, Naoya Sakatani2, Manabu Yamada9, Shingo Kameda5, Toru Kouyama10, Hidehiko Suzuki6, Chikatoshi Honda7, Masahiko Hayakawa2, Kazuo Yoshioka3, Yuichiro Cho3, Yukio Yamamoto2, Naru Hirata7, Naoyuki Hirata8, Hirotaka Sawada2, Seiji Sugita3 (1.Kochi University, 2.ISAS/JAXA, 3.University of Tokyo, 4.Nagoya University, 5.Rikkyo University, 6.Meiji University, 7.Aizu University, 8.Kobe University, 9.Chiba Institute of Technology, 10.National Institute of Advanced Industrial Science and Technology)

Keywords:automatic detection, smooth area, clustering, median filter

Hayabusa2 arrived at asteroid Ryugu on June 2018 and scheduled to conduct touch-down to its surface. We have developed a smooth area detection method for selecting smooth area for landing on a small body such as an asteroid. The small dark or bright spot of 1 pixel scale which might be an boulder, or some obstacles are detected by subtracting the smoothed images via median filter from the raw images. Then the coverage of these possible boulder or obstacle pixels are calculated for a circular area which represents the footprint of the accuracy of the landing, and the area with the less coverage is selected as the safer area for landing. Furthermore, the method based on the clustering of texture of the small block area. Application to Ryugu Images obtained by Hayabusa2 ONC-T will be introduced in the presentation.