Available from: http://www.aiub.unibe.ch/index_eng.html.
Montenbruck, O. & Gill. E. (2000). Satellite orbits. Springer,. 2: p. 257-291.
Amann, M., et al. (2001). Laser ranging: a critical review of usual techniques for distance measurement. Optical engineering, 40(1): p. 10-19.
Hejduk, M., et al. (2004). Satellite detectability modeling for optical sensors. in AMOS Technical Conference.
Li, C., et al. (2014). Performance analysis of visible light communication using the STBC-OFDM technique for intelligent transportation systems. International Journal of Electronics,.101(8): p. 1117-1133.
Hirt, C. & Burki, B. (2006). Status of geodetic astronomy at the beginning of the 21st century.
Hirt, C. & Flury, J. (2008). Astronomical-topographic levelling using high-precision astrogeodetic vertical deflections and digital terrain model data. Journal of Geodesy, 82(4): p. 231-248.
Stoveken, E. & Schildknecht, T. (2005). Algorithms for the optical detection of space debris objects. in Proceedings of the 4th European Conference on Space Debris, Darmstadt, Germany.
Salomon, P. & Goss, W. (1976). A microprocessor-controlled CCD star tracker, in 14th Aerospace Sciences Meeting.
Junkins, J.L. & T.E. Strikwerda (1979). Autonomous star sensing and attitude estimation. in Guidance and Control Conference.
Junkins, J.L., C.C. White, & J.D. Turner (1977). Star pattern recognition for real-time attitude determination. Journal of the Astronautical Sciences, 25(3): p. 251-270.
Clouse, D.S. & C.W. Padgett (2000). Small field-of-view star identification using Bayesian decision theory. IEEE Transactions on Aerospace and Electronic Systems, 36(3): p. 773-783.
Chen, C., B. Wang, & C. Zhang (2004). Star pattern recognition algorithm based on main star pair. Computer Simulation, 21(6): p. 31-53.
Jiancheng, F., Q. Wei, & M. Xiaohong (2005). All-sky autonomous star map identification algorithm based on Delaunay triangulation cutting algorithm. Journal of Beijing University of Aeronautics and Astronautics, 31: p. 312-315.
Padgett, C. & K. Kreutz-Delgado (1977). A grid algorithm for autonomous star identification. IEEE Transactions on Aerospace and Electronic Systems, 33(1): p. 202-213.
Li, L.H.Z., F. E. & Lin, T. (2000). An all-sky autonomous star map identification algorithm based on genetic algorithm. Opto-Electronic Engineering, 27: p. 15-18.
Paladugu, L., M.P. Schoen, & B.G. Williams (2003). Intelligent techniques for star-pattern recognition. in ASME 2003 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers.
Spratling, B.B. & D. Mortari (2009). A survey on star identification algorithms. Algorithms, 2(1): p. 93-107.
Grafarend, E. & F. Krumm (2006). Map Projection, Springer.
Hoffleit, D. & C. Jaschek (1982). The bright star catalogue. The Bright Star Catalogue, New Haven: Yale University Observatory (4th edition).
Perryman, M.A., et al. (1997). The HIPPARCOS catalogue. Astronomy and Astrophysics, 323.
Lowe, D.G. (1999). Object recognition from local scale-invariant features. in Computer vision, 1999. The proceedings of the seventh IEEE international conference on, Ieee.
Bilmes, J.A. (1998). A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. International Computer Science Institute, 4(510): p. 126.
Langley, P., W. Iba, & K. Thompson (1992). An analysis of Bayesian classifiers. in Aaai.
Yuille, A.L., and N.M. Grzywacz,(1989). A mathematical analysis of the motion coherence theory. International Journal of Computer Vision, 3(2): p. 155-175.
Yuille, A.L., & N.M. Grzywacz (1988). The motion coherence theory. in Computer Vision., Second International Conference on, IEEE.
Girosi, F., M. Jones, & T. Poggio (1995). Regularization theory and neural networks architectures. Neural computation, 7(2): p. 219-269.
Chui, H. & A. Rangarajan (2003). A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding, 89(2): p. 114-141.
Torr, P.H. & A. Zisserman (2000). MLESAC: A new robust estimator with application to estimating image geometry. Computer Vision and Image Understanding, 78(1): p. 138-156.
Perona, P. & J. Malik (1990). Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on pattern analysis and machine intelligence, 12(7): p. 629-639.