Video stabilization method corresponding to various imagery for geostationary optical Earth observation satellite

Y. Takeo; T. Sekiguchi; S. Mitani; T. Mizutani; Y. Shirasawa; T. Kimura

doi:10.1117/12.2597934

12 September 2021 Video stabilization method corresponding to various imagery for geostationary optical Earth observation satellite

Y. Takeo, T. Sekiguchi, S. Mitani, T. Mizutani, Y. Shirasawa, T. Kimura

Author Affiliations +

Proceedings Volume 11862, Image and Signal Processing for Remote Sensing XXVII; 1186205 (2021) https://doi.org/10.1117/12.2597934
Event: SPIE Remote Sensing, 2021, Online Only

Abstract

In geostationary Earth observation satellite system with high-resolution optical system under conceptual study phase developed by Japan Aerospace Exploration Agency (JAXA), one of its main products for users is a video with one fps captured by the telescope and the optical sensor; however, there have been few examples of satellite video with high-rate fps, especially in geostationary satellite. A satellite video has instability of the video sequences caused by an undesired disturbance of the satellite. In this study, we propose the video stabilization method corresponding to various satellite imagery characteristics, using feature point matching and bundle adjustment with eliminating outliers by using RANdom SAmple Consensus (RANSAC). Moreover, we adopt a polynomial approximation to smooth global motions of all video frames. We demonstrate the video stabilization using the experimental video captured by the helicopter. Moreover, the performance test result shows that the proposed method can stabilize the satellite video less than one pixel accuracy. In addition, we discuss various issues specific to a satellite imagery, for example, moving cloud.

Conference Presentation

Citation Download Citation

Y. Takeo, T. Sekiguchi, S. Mitani, T. Mizutani, Y. Shirasawa, and T. Kimura "Video stabilization method corresponding to various imagery for geostationary optical Earth observation satellite", Proc. SPIE 11862, Image and Signal Processing for Remote Sensing XXVII, 1186205 (12 September 2021); https://doi.org/10.1117/12.2597934

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