Wan, M.;                     Gu, G.;                     Qian, W.;                     Ren, K.;                     Chen, Q.;                     Zhang, H.;                     Maldague, X.    
        Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking. Remote Sens. 2018, 10, 510.
    https://doi.org/10.3390/rs10040510
    AMA Style
    
                                Wan M,                                 Gu G,                                 Qian W,                                 Ren K,                                 Chen Q,                                 Zhang H,                                 Maldague X.        
                Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking. Remote Sensing. 2018; 10(4):510.
        https://doi.org/10.3390/rs10040510
    
    Chicago/Turabian Style
    
                                Wan, Minjie,                                 Guohua Gu,                                 Weixian Qian,                                 Kan Ren,                                 Qian Chen,                                 Hai Zhang,                                 and Xavier Maldague.        
                2018. "Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking" Remote Sensing 10, no. 4: 510.
        https://doi.org/10.3390/rs10040510
    
    APA Style
    
                                Wan, M.,                                 Gu, G.,                                 Qian, W.,                                 Ren, K.,                                 Chen, Q.,                                 Zhang, H.,                                 & Maldague, X.        
        
        (2018). Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking. Remote Sensing, 10(4), 510.
        https://doi.org/10.3390/rs10040510