Li, W.;                     Zhang, C.;                     Puhl, D.;                     Pan, X.;                     Hassan, M.A.;                     Bird, S.;                     Yang, K.;                     Zhao, Y.    
        A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width. Remote Sens. 2024, 16, 4614.
    https://doi.org/10.3390/rs16234614
    AMA Style
    
                                Li W,                                 Zhang C,                                 Puhl D,                                 Pan X,                                 Hassan MA,                                 Bird S,                                 Yang K,                                 Zhao Y.        
                A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width. Remote Sensing. 2024; 16(23):4614.
        https://doi.org/10.3390/rs16234614
    
    Chicago/Turabian Style
    
                                Li, Wenqi,                                 Chendi Zhang,                                 David Puhl,                                 Xiao Pan,                                 Marwan A. Hassan,                                 Stephen Bird,                                 Kejun Yang,                                 and Yang Zhao.        
                2024. "A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width" Remote Sensing 16, no. 23: 4614.
        https://doi.org/10.3390/rs16234614
    
    APA Style
    
                                Li, W.,                                 Zhang, C.,                                 Puhl, D.,                                 Pan, X.,                                 Hassan, M. A.,                                 Bird, S.,                                 Yang, K.,                                 & Zhao, Y.        
        
        (2024). A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width. Remote Sensing, 16(23), 4614.
        https://doi.org/10.3390/rs16234614