Table of Contents Author Guidelines Submit a Manuscript
Journal of Applied Mathematics
Volume 2014, Article ID 901539, 11 pages
http://dx.doi.org/10.1155/2014/901539
Research Article

A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System

1School of Instrument Science and Opto-Electronic Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2Science & Technology on Inertial Laboratory, Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
3Xi’an Institute of Optics and Precision Mechanics (XIOPM), CAS, Xi’an 710119, China

Received 10 March 2014; Accepted 13 May 2014; Published 9 June 2014

Academic Editor: Guiming Luo

Copyright © 2014 Jianli Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. C. Fang and S. Yang, “Study on innovation adaptive EKF for in-flight alignment of airborne POS,” IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 4, pp. 1378–1388, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. M. M. R. Mostafa and K.-P. Schwarz, “Digital image georeferencing from a multiple camera system by GPS/INS,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 56, no. 1, pp. 1–12, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Li, J. Fang, and M. Du, “Error analysis and gyro-bias calibration of analytic coarse alignment for airborne POS,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 11, pp. 3058–3064, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. H.-S. Ahn and C.-H. Won, “DGPS/IMU integration-based geolocation system: Airborne experimental test results,” Aerospace Science and Technology, vol. 13, no. 6, pp. 316–324, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Cheng and J. Fang, “Comparison of compensation methods on RLG temperature error and their application in POS,” in Proceedings of the 8th IEEE International Symposium on Instrumentation and Control Technology (ISICT '12), pp. 189–194, July 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. C. Guo, Y. Xu, and X. Zhao, “Investigation on the temperature compensating model ring laser gyroscope,” Chinese Optics Letters, vol. 4, no. 10, pp. 576–579, 2006. View at Google Scholar · View at Scopus
  7. G. Wei, G. Li, Y. Wu, and X. Long, “Application of Least Squares-Support Vector Machine in system-level temperature compensation of ring laser gyroscope,” Measurement, vol. 44, no. 10, pp. 1898–1903, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. Q. Zhang, X.-F. Liu, J. Zhan, and G.-M. Chen, “Temperature modeling study for high precision gyroscope based on neural network,” in Proceedings of the International Symposium on Intelligent Ubiquitous Computing and Education (IUCE '09), pp. 85–87, May 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. R. Sharaf and A. Noureldin, “A neural network model of optical gyros drift errors with application to vehicular navigation,” in Applications of Digital Image Processing XXVII, vol. 5558 of Proceedings of SPIE, pp. 13–20, August 2004. View at Publisher · View at Google Scholar · View at Scopus
  10. Q. Hua, Y. Gao, X.-Z. Wang, and B.-Y. Zhao, “A new approach to improving generalization ability of feed-foward neural networks,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC '10), pp. 1413–1419, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Li, A. Chen, J. Fang, and J. Cheng, “Time delay modeling and compensation of dithered RLG POS with antivibrators and filter,” Measurement, vol. 46, no. 6, pp. 1928–1937, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Li, J. Fang, and S. S. Ge, “Kinetics and design of a mechanically dithered ring laser gyroscope position and orientation system,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 1, pp. 210–220, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. E. Lithopoulos, B. Reid, and B. Scherzinger, “The position and orientation system (POS) for survey applications,” in Proceedings of the International Archives of Photogrammetry and Remote Sensing, pp. 467–471, 1996.
  14. J. S. Cain, D. A. Staley, G. R. Heppler, and J. McPhee, “Stability analysis of a dynamically timed gyroscope,” Journal of Guidance, Control, and Dynamics, vol. 29, no. 4, pp. 965–969, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Franco, J. M. Jerez, and J. M. Bravo, “Role of function complexity and network size in the generalization ability of feedforward networks,” in Proceedings of the 8th International Workshop on Artificial Neural Networks (IWANN '05), pp. 1–8, June 2005. View at Scopus
  16. J. L. Ticknor, “A Bayesian regularized artificial neural network for stock market forecasting,” Expert Systems with Applications, vol. 40, no. 14, pp. 5501–5506, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. E. Rank, “Application of Bayesian trained RBF networks to nonlinear time-series modeling,” Signal Processing, vol. 83, no. 7, pp. 1393–1410, 2003. View at Publisher · View at Google Scholar · View at Scopus
  18. P. Kumar, S. N. Merchant, and U. B. Desai, “Improving performance in pulse radar detection using Bayesian regularization for neural network training,” Digital Signal Processing, vol. 14, no. 5, pp. 438–448, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. L. J. Su, Y. Yuan et al., “Spectrum reconstruction method for airborne temporally-spatially modulated Fourier transform imaging spectrometers,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3720–3728, 2014. View at Publisher · View at Google Scholar
  20. J. Reguera-Salgado, M. Calvino-Cancela, and J. Martin-Herrero, “GPU geocorrection for airborne pushbroom imagers,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 11, pp. 4409–4419, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Yuan, X. Zhang, C. Sun, and Z. Zhou, “Modeling of the temporally and spatially modulated fourier transform imaging spectrometer working in orbit,” Optik, vol. 122, no. 17, pp. 1576–1583, 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. X. Fan, H. Rhody, and E. Saber, “A spatial-feature-enhanced MMI algorithm for multimodal airborne image registration,” IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 6, pp. 2580–2589, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. P. Vandewalle, S. Süsstrunk, and M. Vetterll, “A frequency domain approach to registration of aliased images with application to super-resolution,” EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 71459, 14 pages, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. C. Mailhes, P. Vermande, and F. Castanié, “Spectral image compression,” Journal of Optics, vol. 21, no. 3, pp. 121–132, 1990. View at Publisher · View at Google Scholar · View at Scopus