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Open AccessArticle

On-Orbit Camera Misalignment Estimation Framework and Its Application to Earth Observation Satellite

Satrec Initiative, 21 Yusung-daero 1628 Beon-gil, Yuseong-gu, Daejeon 305-811, Korea
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Academic Editors: Richard Müller and Prasad S. Thenkabail
Remote Sens. 2015, 7(3), 3320-3346; https://doi.org/10.3390/rs70303320
Received: 30 September 2014 / Revised: 14 March 2015 / Accepted: 17 March 2015 / Published: 23 March 2015
Despite the efforts for precise alignment of imaging sensors and attitude sensors before launch, the accuracy of pre-launch alignment is limited. The misalignment between attitude frame and camera frame is especially important as it is related to the localization error of the spacecraft, which is one of the essential factors of satellite image quality. In this paper, a framework for camera misalignment estimation is presented with its application to a high-resolution earth-observation satellite—Deimos-2. The framework intends to provide a solution for estimation and correction of the camera misalignment of a spacecraft, covering image acquisition planning to mathematical solution of camera misalignment. Considerations for effective image acquisition planning to obtain reliable results are discussed, followed by a detailed description on a practical method for extracting many GCPs automatically using reference ortho-photos. Patterns of localization errors that commonly occur due to the camera misalignment are also investigated. A mathematical model for camera misalignment estimation is described comprehensively. The results of simulation experiments showing the validity and accuracy of the misalignment estimation model are provided. The proposed framework was applied to Deimos-2. The real-world data and results from Deimos-2 are presented. View Full-Text
Keywords: earth-observation satellite; boresight alignment; camera misalignment; on-orbit calibration earth-observation satellite; boresight alignment; camera misalignment; on-orbit calibration
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Lee, S.; Shin, D. On-Orbit Camera Misalignment Estimation Framework and Its Application to Earth Observation Satellite. Remote Sens. 2015, 7, 3320-3346.

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