• Optics and Precision Engineering
  • Vol. 23, Issue 2, 573 (2015)
YIN Hang*, SONG Xin, and YAN Ye
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/ope.20152302.0573 Cite this Article
    YIN Hang, SONG Xin, YAN Ye. Performance on sparse representation of star images[J]. Optics and Precision Engineering, 2015, 23(2): 573 Copy Citation Text show less
    References

    [1] LIEBE C C. Accuracy performance of star trackers-a tutorial [J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(2): 587-599.

    [2] ROGERS G D, SCHWINGER M R, KAIDY J T, et al.. Autonomous star tracker performance [J]. Acta Astronautica, 2009, 65(1-2): 61-74.

    [3] DONOHO D. Compressed Sensing [EB/OL]. Manuscript. Submitted. wwwstat.stanford.edu/donoho/Reports/2004.

    [4] CANDES E, ROMBERG J, TAO T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information [J]. IEEE Trans. on Information Theory, 2006, 52(2): 489-509.

    [5] MA J W, XU J, BAO Y Q, et al.. Compressive sensing and its application: from sparse to low-rank regularized optimization [J]. Signal Processing, 2012, 28(5): 609-623.(in Chinese)

    [6] LIU J Y. Theory of compressive sensing and its application in imaging [D]. Changsha: National University of Defense Technology, 2010.(in Chinese)

    [7] CHEN C H. Signal and Image Processing for Remote Sensing [M]. Florida: The Chemical Rubber Company Press, 2012: 73-90.

    [8] VISHAL M P, RAMA C. Sparse representations and compressive sensing for imaging and vision [M]. New York: Springer, 2013: 1-15.

    [9] SUN X Y, CHANG F L. Object tracking based on sparse representation of gradient feature [J]. Opt. Precision Eng., 2013, 21(12): 3191-3197.(in Chinese)

    [10] WU J Q, LI Y L, LIU H. De-correlation characteristic analysis of variety integer DCT transform radix [J]. Chinese Journal of Liquid Crystals and Displays, 2013, 28(2): 278-283.(in Chinese)

    [11] XIAO L L, LIU K, HAN D P. CMOS low data rate imaging method based on compressed sensing [J]. Optics & Laser Technology, 2012, 44(5): 1338-1345.

    [12] LI SH L, LIU K, ZHANG F, et al.. Innovative remote sensing imaging method based on compressed sensing [J]. Optics & Laser Technology, 2014, 63: 83-89.

    [13] SUN Y M, WU J, LIU J. Image fusion based on CS measurement matrix optimization [J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(3): 461-465.(in Chinese)

    [14] WANG L J, SHI G M, LI F, et al.. Compressive sensing multiple description image coding with hybrid sampling [J]. Opt. Precision Eng., 2013, 21(3): 724-733.(in Chinese)

    [15] LIU ZH ZH, WANG F B. Multiple target localization in WSNs via CS reconstruction based on discrete GSO algorithm [J]. Opt. Precision Eng., 2014, 22(7): 1904-1911.(in Chinese)

    [16] YAN F X, WANG Z L, ZHU J B, et al.. Compressive Sensing theory and optical compressive imaging systems [J]. Journal of National University of Defense Technology, 2014, 36(2): 140-147.(in Chinese)

    [17] YU W K, YAO X R, LIU X F, et al.. Compressed sensing for ultra-weak light counting imaging [J]. Opt. Precision Eng., 2012, 20(10): 2283-2292.(in Chinese)

    [18] XIAO L L. Research on theory and methods of Compressed Sensing for high resolution remote sensing optical imaging [D]. Changsha: National University of Defense Technology, 2012.(in Chinese)

    [19] MENG H Y, LIU G ZH, WANG ZH H. Operator matrix of the orthogonal wavelet (packets) transforms [J]. Acta Electronica Sinica, 2001, 29(5): 675-677.(in Chinese)

    [20] TROPP J A, GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit [J]. IEEE Trans. On Information Theory, 2007, 53(12): 4655-4666.

    [21] AHARON M, ELAD M, BRUNCKSTEIN A. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation [J]. IEEE Trans. On Signal Processing, 2006, 54(11): 4311-4322.

    [22] SHORTIS M R, CLARKE T A, SHORT T. A comparison of some techniques for the subpixel location of discrete target images [J]. SPIE Videometrics III 1994, 2350: 239-250.

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