Cite
Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification.
MLA
Zhiyong Lv, et al. “Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification.” Remote Sensing, vol. 9, no. 3, Mar. 2017, p. 285. EBSCOhost, https://doi.org/10.3390/rs9030285.
APA
Zhiyong Lv, Penglin Zhang, & Benediktsson, J. A. (2017). Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification. Remote Sensing, 9(3), 285. https://doi.org/10.3390/rs9030285
Chicago
Zhiyong Lv, Penglin Zhang, and Jón Atli Benediktsson. 2017. “Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification.” Remote Sensing 9 (3): 285. doi:10.3390/rs9030285.