Cite
Validating the Crop Identification Capability of the Spectral Variance at Key Stages (SVKS) Computed via an Object Self-Reference Combined Algorithm.
MLA
Zhao, Hailan, et al. “Validating the Crop Identification Capability of the Spectral Variance at Key Stages (SVKS) Computed via an Object Self-Reference Combined Algorithm.” Remote Sensing, vol. 14, no. 24, Dec. 2022, p. 6390. EBSCOhost, https://doi.org/10.3390/rs14246390.
APA
Zhao, H., Meng, J., Shi, T., Zhang, X., Wang, Y., Luo, X., Lin, Z., & You, X. (2022). Validating the Crop Identification Capability of the Spectral Variance at Key Stages (SVKS) Computed via an Object Self-Reference Combined Algorithm. Remote Sensing, 14(24), 6390. https://doi.org/10.3390/rs14246390
Chicago
Zhao, Hailan, Jihua Meng, Tingting Shi, Xiaobo Zhang, Yanan Wang, Xiangjiang Luo, Zhenxin Lin, and Xinyan You. 2022. “Validating the Crop Identification Capability of the Spectral Variance at Key Stages (SVKS) Computed via an Object Self-Reference Combined Algorithm.” Remote Sensing 14 (24): 6390. doi:10.3390/rs14246390.