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Real-Time Attitude Estimation by Using Parallax Observation System.

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Title: Real-Time Attitude Estimation by Using Parallax Observation System.
Authors: Zhang, Zhaoxiang1, Dong, Limin1 donglimin@hit.edu.cn, Xu, Guodong1, Song, Jianing1
Source: Neural Processing Letters. Dec2018, Vol. 48 Issue 3, p1415-1429. 15p.
Subjects: Seismic reflection method data processing, Deconvolution of digital images, Image processing, Optical resolution, Deconvolution in seismic reflection
Abstract: With the development of the satellite spatial resolution, high-resolution and high-quality remote sensing images require high stability of the observation satellite platform. Therefore, real-time attitude information is essential to enhance the accuracy and the robustness of the attitude control system in observation satellites. Through the use of the parallax observation system, this paper designs a novel framework to estimate the on-orbit attitude, which includes a complete deconvolution process, a detailed camera motion model, and a support vector regression algorithm to detect the attitude and deal with the latency. The proposed framework is testified by realistically simulated data and remote sensing images from the JL-1 satellite. Simulation and experiment results demonstrate that the proposed framework can detect and predict the attitude in real-time while the error is lower than 1.125μrad. [ABSTRACT FROM AUTHOR]
Copyright of Neural Processing Letters is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 133243104
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PubTypeId: academicJournal
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  Data: Real-Time Attitude Estimation by Using Parallax Observation System.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zhaoxiang%22">Zhang, Zhaoxiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dong%2C+Limin%22">Dong, Limin</searchLink><relatesTo>1</relatesTo><i> donglimin@hit.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Guodong%22">Xu, Guodong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Song%2C+Jianing%22">Song, Jianing</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Processing+Letters%22">Neural Processing Letters</searchLink>. Dec2018, Vol. 48 Issue 3, p1415-1429. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Seismic+reflection+method+data+processing%22">Seismic reflection method data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Deconvolution+of+digital+images%22">Deconvolution of digital images</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+resolution%22">Optical resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Deconvolution+in+seismic+reflection%22">Deconvolution in seismic reflection</searchLink>
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  Label: Abstract
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  Data: With the development of the satellite spatial resolution, high-resolution and high-quality remote sensing images require high stability of the observation satellite platform. Therefore, real-time attitude information is essential to enhance the accuracy and the robustness of the attitude control system in observation satellites. Through the use of the parallax observation system, this paper designs a novel framework to estimate the on-orbit attitude, which includes a complete deconvolution process, a detailed camera motion model, and a support vector regression algorithm to detect the attitude and deal with the latency. The proposed framework is testified by realistically simulated data and remote sensing images from the JL-1 satellite. Simulation and experiment results demonstrate that the proposed framework can detect and predict the attitude in real-time while the error is lower than 1.125μrad. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neural Processing Letters is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11063-017-9732-1
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        Text: English
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      – SubjectFull: Seismic reflection method data processing
        Type: general
      – SubjectFull: Deconvolution of digital images
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Optical resolution
        Type: general
      – SubjectFull: Deconvolution in seismic reflection
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      – TitleFull: Real-Time Attitude Estimation by Using Parallax Observation System.
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            – D: 01
              M: 12
              Text: Dec2018
              Type: published
              Y: 2018
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            – TitleFull: Neural Processing Letters
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