小郷原 一智
   所属   京都産業大学  理学部 宇宙物理・気象学科
   職種   准教授
言語種別 英語
発行・発表の年月 2012/02
形態種別 研究論文
査読 査読あり
標題 Automated cloud tracking system for the Akatsuki Venus Climate Orbiter data
執筆形態 その他
掲載誌名 ICARUS
出版社・発行元 ACADEMIC PRESS INC ELSEVIER SCIENCE
巻・号・頁 217(2),pp.661-668
著者・共著者 Kazunori Ogohara,Toru Kouyama,Hiroki Yamamoto,Naoki Sato,Masahiro Takagi,Takeshi Imamura
概要 Japanese Venus Climate Orbiter, Akatsuki, is cruising to approach to Venus again although its first Venus orbital insertion (VOI) has been failed. At present, we focus on the next opportunity of VOI and the following scientific observations. We have constructed an automated cloud tracking system for processing data obtained by Akatsuki in the present study. In this system, correction of the pointing of the satellite is essentially important for improving accuracy of the cloud motion vectors derived using the cloud tracking. Attitude errors of the satellite are reduced by fitting an ellipse to limb of an imaged Venus disk. Next, longitude-latitude distributions of brightness (cloud patterns) are calculated to make it easy to derive the cloud motion vectors. The grid points are distributed at regular intervals in the longitude-latitude coordinate. After applying the solar zenith correction and a highpass filter to the derived longitude-latitude distributions of brightness, the cloud features are tracked using pairs of images. As a result, we obtain cloud motion vectors on longitude-latitude grid points equally spaced. These entire processes are pipelined and automated, and are applied to all data obtained by combinations of cameras and filters onboard Akatsuki. It is shown by several tests that the cloud motion vectors are determined with a sufficient accuracy. We expect that longitude-latitude data sets created by the automated cloud tracking system will contribute to the Venus meteorology. (C) 2011 Elsevier Inc. All rights reserved.
DOI 10.1016/j.icarus.2011.05.017
ISSN 0019-1035/1090-2643
Put Code(ORCID) 52343308
PermalinkURL http://www.scopus.com/inward/record.url?eid=2-s2.0-84855358950&partnerID=MN8TOARS
researchmap用URL http://orcid.org/0000-0001-7666-4442