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ZHOU Nan, CAO Jinshan, XIAO Lei, CAO Shixiang. A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200306
Citation: ZHOU Nan, CAO Jinshan, XIAO Lei, CAO Shixiang. A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200306

A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space

doi: 10.13203/j.whugis20200306
Funds:

the National Natural Science Foundation of China, No. 61801331

  • Received Date: 2021-05-21
  • It is a very important highly accurate application of optical video satellites to discover a moving target and obtain its geographic position and moving speed. Although the existing stabilization approaches for optical video satellites can obtain stable and smooth videos, the lack of geometric information in the satellite videos makes them difficult to meet the above application requirements. To solve this problem, a geo-coded stabilization approach for optical video satellites in object space is proposed in this paper. The proposed approach takes full advantage of the orientation parameter information of satellite video frames. An interframe motion model based on the video frame orientation model is first established. Then, the orientation parameters of the auxiliary frame are motion compensated to achieve the geometric consistency between the video frames. Finally, all the video frames are geo-coded in object space, and the geo-coded smooth video can be generated. The experimental results of a ZhuHai-1 satellite video showed that the proposed approach could effectively eliminate the influence of satellite jitter errors and satellite position and attitude errors. Both the geometric accuracy between the video frames and the video stabilization accuracy achieved by the proposed approach reached better than 0.3 pixels.
  • [1] Kim H S, Lee J H, Kim C K, et al. Zoom Motion Estimation Using Block-Based Fast Local Area Scaling[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(9):1280-1291.
    [2] Kim T, Lee S and Paik J. Combined Shape and Feature-based Video Analysis and Its Application to Non-rigid Object Tracking[J]. IET Image Processing, 2011, 5(1):87-100.
    [3] Lim A, Ramesh B, Yang Y, et al. Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles[J]. Journal of Real-Time Image Processing, 2017, (6):1-11.
    [4] Erturk S. Digital Image Stabilization with Sub-image Phase Correlation Based Global Motion Estimation[J]. IEEE Transactions on Consumer Electronics, 2003, 49(4):1320-1325.
    [5] Foroosh H, Zerubia J and Berthod M. Extension of Phase Correlation to Subpixel Registration[J]. IEEE Transactions on Image Processing, 2002, 11(3), 188-200.
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    [8] Walha A, Wali A and Alimi A M. Video Stabilization with Moving Object Detecting and Tracking for Aerial Video Surveillance[J]. Multimedia Tools and Applications, 2015, 74:6745-6767.
    [9] Kumar S, Azartash H, Biswas M, et al. Real-Time Affine Global Motion Estimation Using Phase Correlation and Its Application for Digital Image Stabilization[J]. IEEE Transactions on Image Processing, 2011, 20(12):3406-3418.
    [10] Matsushita Y, Ofek E, Ge W, et al. Full-frame Video Stabilization with Motion Inpainting[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2006, 28(7):1150-1163.
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    [13] Murthy K, Shearn M, Smiley B D, et al. SkySat-1:Very High-Resolution Imagery from a Small Satellite[C]. SPIE Proceedings on Sensors, Systems, and Next-Generation Satellites, Amsterdam, Netherlands, 2014.
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A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space

doi: 10.13203/j.whugis20200306
Funds:

the National Natural Science Foundation of China, No. 61801331

Abstract: It is a very important highly accurate application of optical video satellites to discover a moving target and obtain its geographic position and moving speed. Although the existing stabilization approaches for optical video satellites can obtain stable and smooth videos, the lack of geometric information in the satellite videos makes them difficult to meet the above application requirements. To solve this problem, a geo-coded stabilization approach for optical video satellites in object space is proposed in this paper. The proposed approach takes full advantage of the orientation parameter information of satellite video frames. An interframe motion model based on the video frame orientation model is first established. Then, the orientation parameters of the auxiliary frame are motion compensated to achieve the geometric consistency between the video frames. Finally, all the video frames are geo-coded in object space, and the geo-coded smooth video can be generated. The experimental results of a ZhuHai-1 satellite video showed that the proposed approach could effectively eliminate the influence of satellite jitter errors and satellite position and attitude errors. Both the geometric accuracy between the video frames and the video stabilization accuracy achieved by the proposed approach reached better than 0.3 pixels.

ZHOU Nan, CAO Jinshan, XIAO Lei, CAO Shixiang. A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200306
Citation: ZHOU Nan, CAO Jinshan, XIAO Lei, CAO Shixiang. A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200306
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