Spectroscopy and Spectral Analysis, Volume. 41, Issue 6, 1722(2021)
Sensitive Bands Selection and Nitrogen Content Monitoring of Rice Based on Gaussian Regression Analysis
[3] [3] Berger K, Verrelst J, Jean-Baptiste Féret, et al. Remote Sensing of Environment, 2020, 242(1): 111758.
[10] [10] Smola A J, Schlkopf B. Statistics and Computing, 2004, 14(3): 199.
[11] [11] Jochem V, Malenovsky Zbyněk, Christiaan V D T, et al. Surveys in Geophysics, 2018. 1.
[12] [12] Rasmussen C E, Williams C K I. Gaussian Processes for Machine Learning. The MIT Press. New York, 2006. 7.
[13] [13] Camps-Valls G, Verrelst J, Munoz-Mari J, et al. IEEE Geoence and Remote Sensing Magazine, 2016, 4(2): 58.
[14] [14] Breiman L. Machine Learning, 2001 45: 5.
[15] [15] Vapnik V. Statistical Learning Theory. New York, NY: Wiley, 1998. 401.
[16] [16] Verrelst J, Rivera J P, Gitelson A, et al. International Journal of Applied Earth Observation and Geoinformation, 2016, 52: 554.
Get Citation
Copy Citation Text
WANG Jiao-jiao, SONG Xiao-yu, MEI Xin, YANG Gui-jun, LI Zhen-hai, LI He-li, MENG Yang. Sensitive Bands Selection and Nitrogen Content Monitoring of Rice Based on Gaussian Regression Analysis[J]. Spectroscopy and Spectral Analysis, 2021, 41(6): 1722
Received: Jun. 3, 2020
Accepted: --
Published Online: Jul. 16, 2021
The Author Email: Jiao-jiao WANG (wangjj@stu.hubu.edu.cn)