• Optics and Precision Engineering
  • Vol. 24, Issue 11, 2855 (2016)
SUI Zhong-shan1,*, LI Jun-shan1, ZHANG jiao1, and SUI Xiao-fei2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20162411.2855 Cite this Article
    SUI Zhong-shan, LI Jun-shan, ZHANG jiao, SUI Xiao-fei. Micro gas leakage detection based on tensor low rank decomposition and sparse representation from infrared images[J]. Optics and Precision Engineering, 2016, 24(11): 2855 Copy Citation Text show less
    References

    [1] HE Y J, LI M, ZHANG J L, et al.. Clutter suppression of infrared image based on there-component low-rank matrix decomposition [J].Opt. Precision Eng., 2015, 23(7): 2069-2078.(in Chinese)

    [2] ZHAO A G, WANG H L, YANG X G, et al.. Infrared dim small target detection algorithm based on structural low-rank coding under complex environment [J]. Journal of Chinese Inertial Technology, 2015, 23(5): 662-669.(in Chinese)

    [3] TOM V T, PELI T, LEUNG M, et al.. Morphology-based algorithm for point target detection in infrared backgrounds [C]. Optical Engineering and Photonics in Aerospace Sensing. International Society for Optics and Photonics, 1993: 2-11.

    [4] DESHPANDE S D, MENG H E, VENKATESWARLU R, et al.. Max-mean and max-median filters for detection of small targets [C]. SPIEs International Symposium on Optical Science, Engineering, and Instrumentation, 1999: 74-83.

    [5] HAN J H, MA Y, ZHOU B, et al.. A robust infrared small target detection algorithm based on human visual system [J]. Geoscience and Remote Sensing Letters, 2014, 11(12): 2168-2172.

    [6] QI S X, MA J, TAO C, et al.. A robust directional saliency-based method for infrared small target detection under various complex backgrounds [J].IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 495-499.

    [7] YANG C W, LIU H P, LIAO S Y, et al.. Small target detection in infrared video sequence using robust dictionary learning [J]. Infrared Physics & Technology, 2015, 68: 1-9.

    [8] ZHENG C Y, LI H. Small infrared target detection based on low-rank and sparse matrix decomposition [J]. Applied Mechanics and Materials, 2013, 239: 214-218.

    [9] HE Y J, LI M, ZHANG J L, et al.. Small infrared target detection based on low-rank and sparse representation [J]. Infrared Physics & Technology, 2015, 68: 98-109.

    [10] LIU X, ZHAO G Y. Background subtraction based on low-rank and structured sparse decomposition [J].IEEE Transactions on Image Processing DRAFT, 2015.

    [11] YAO J, LIU X, QI C. Foreground detection using low rank and structured sparsity [C]. Proc. IEEE Int. Conf. Multimed.Expo., 2014: 1-6.

    [12] BOUWMANS T, ZAHZAH E H. Robust PCA via principal component pursuit: A review for a comparative evaluation in video surveillance [J]. Comput. Vis. Image Underst., 2014, 122: 22-34.

    SUI Zhong-shan, LI Jun-shan, ZHANG jiao, SUI Xiao-fei. Micro gas leakage detection based on tensor low rank decomposition and sparse representation from infrared images[J]. Optics and Precision Engineering, 2016, 24(11): 2855
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