A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area.

MLA

Zhang, Rui, et al. “A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area.” Applied Sciences (2076-3417), vol. 10, no. 8, Apr. 2020, p. 2928. EBSCOhost, https://doi.org/10.3390/app10082928.

APA

Zhang, R., Tang, X., You, S., Duan, K., Xiang, H., & Luo, H. (2020). A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area. Applied Sciences (2076-3417), 10(8), 2928. https://doi.org/10.3390/app10082928

Chicago

Zhang, Rui, Xinming Tang, Shucheng You, Kaifeng Duan, Haiyan Xiang, and Hongxia Luo. 2020. “A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area.” Applied Sciences (2076-3417) 10 (8): 2928. doi:10.3390/app10082928.