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オゴハラ カズノリ
OGOHARA Kazunori
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 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017/08 |
| 形態種別 | 研究論文 |
| 査読 | 査読あり |
| 標題 | Image velocimetry for clouds with relaxation labeling based on deformation consistency |
| 執筆形態 | その他 |
| 掲載誌名 | MEASUREMENT SCIENCE AND TECHNOLOGY |
| 出版社・発行元 | IOP PUBLISHING LTD |
| 巻・号・頁 | 28(8) |
| 著者・共著者 | Takeshi Horinouchi,Shin-ya Murakami,Toru Kouyama,Kazunori Ogohara,Atsushi Yamazaki,Manabu Yamada,Shigeto Watanabe |
| 概要 | Correlation-based cloud tracking has been extensively used to measure atmospheric winds, but still difficulty remains. In this study, aiming at developing a cloud tracking system for Akatsuki, an artificial satellite orbiting Venus, a formulation is developed for improving the relaxation labeling technique to select appropriate peaks of cross-correlation surfaces which tend to have multiple peaks. The formulation makes an explicit use of consistency inherent in the type of cross-correlation method where template sub-images are slid without deformation; if the resultant motion vectors indicate a too-large deformation, it is contradictory to the assumption of the method. The deformation consistency is exploited further to develop two post processes; one clusters the motion vectors into groups within each of which the consistency is perfect, and the other extends the groups using the original candidate lists. These processes are useful to eliminate erroneous vectors, distinguish motion vectors at different altitudes, and detect phase velocities of waves in fluids such as atmospheric gravity waves. As a basis of the relaxation labeling and the post processes as well as uncertainty estimation, the necessity to find isolated (well-separated) peaks of cross-correlation surfaces is argued, and an algorithm to realize it is presented. All the methods are implemented, and their effectiveness is demonstrated with initial images obtained by the ultraviolet imager onboard Akatsuki. Since the deformation consistency regards the logical consistency inherent in template matching methods, it should have broad application beyond cloud tracking. |
| DOI | 10.1088/1361-6501/aa695c |
| ISSN | 0957-0233/1361-6501 |
| Put Code(ORCID) | 52343312 |
| PermalinkURL | http://www.scopus.com/inward/record.url?eid=2-s2.0-85025458890&partnerID=MN8TOARS |
| researchmap用URL | http://orcid.org/0000-0001-7666-4442 |