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Image velocimetry for clouds with relaxation labeling based on deformation consistency

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Title: Image velocimetry for clouds with relaxation labeling based on deformation consistency
Authors: Horinouchi, Takeshi Browse this author →KAKEN DB
Murakami, Shin-ya Browse this author
Kouyama, Toru Browse this author
Ogohara, Kazunori Browse this author
Yamazaki, Atsushi Browse this author
Yamada, Manabu Browse this author
Watanabe, Shigeto Browse this author →KAKEN DB
Keywords: cloud tracking
relaxation method
planetary atmosphere
atmospheric motion vector
Issue Date: Aug-2017
Publisher: IOP Publishing
Journal Title: Measurement science and technology
Volume: 28
Issue: 8
Start Page: 85301
Publisher DOI: 10.1088/1361-6501/aa695c
Abstract: 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.
Rights: This is an author-created, un-copyedited version of an article accepted for publication in Measurement Science and Technology. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at
Type: article
Appears in Collections:環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 堀之内 武

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