Author:
Atighi Fateme,Safdarinezhad Alireza,Karimi Rohollah, , ,
Reference27 articles.
1. [1] Chang, C.-I., "Endmember Finding and Anomaly Detection", in Hyperspectral Target Detection, in Real-Time Progressive Hyperspectral Image Processing. Chang, C.-I., New York: Springer, 2016, 131-172.
2. [2] Hbirkou, C., Pätzold, S., Mahlein, A.K. and Welp, G., "Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale", Geoderma, 175, 21-28, 2012.
3. [3] Samsonova, V. P., Meshalkina, J. L., Blagoveschensky, Y. N., Yaroslavtsev, A. M., and Stoorvogel, J. J. "The role of positional errors while interpolating soil organic carbon contents using satellite imagery", Precision Agriculture, 19(6), 1085-1099, 2018.
4. [4] Wang, J., Tiyip, T., Jianli, D., Dong, Z. and Wei, L., "Estimation of desert soil organic carbon content based on hyperspectral data preprocessing with fractional differential", Transactions of the Chinese Society of Agricultural Engineering, 32(21), 161-169, 2016.
5. [5] Susič, N., Žibrat, U., Širca, S., Strajnar, P., Razinger, J., Knapič, M., Vončina, A., Urek, G. and Gerič, B. "Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging", Sensors and actuators B: Chemical, 273, 842-852, 2018.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献