Spectroscopy and Spectral Analysis, Volume. 36, Issue 6, 1854(2016)
Quantitative Identification of Yellow Rust and Powdery Mildew in Winter Wheat Based on Wavelet Feature
[1] [1] Sankaran S, Mishra A, Ehsani R, et al. Computers and Electronics in Agriculture, 2010, 72(1): 1.
[3] [3] Guan Q S, Huang W J, Jiang J B, et al. Sensor Letters, 2014, 12: 1.
[4] [4] Huang W J, Guan Q S, Luo J H, et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2516.
[5] [5] Zhang J C, Pu R L, Huang W J, et al. Field Crop Research, 2012b, 134: 165.
[6] [6] Zhang J C, Yuan L, Pu R L, et al. Computers and Electronics in Agriculture, 2014, 100: 80.
[7] [7] Cheng T, Rivard B, Sanchenz-Azofeifa G A. Remote Sensing of Environment, 2011, 115(2): 662.
[8] [8] Huang L S, Zhang D Y, Liang D, et al. International Journal of Agriculture & Biology, 2013, 15(1): 34.
[11] [11] Cheng T, Rivard B, Sanchenz-Azofeifa G A, et al. Remote Sensing of Environment, 2010, 114(4): 902.
[12] [12] Bruce L M, Li J. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(7): 1540.
[13] [13] Jolliffe I T. Principal Component Analysis, Springer, 2002.
Get Citation
Copy Citation Text
LU Jun-jing, HUANG Wen-jiang, ZHANG Jing-cheng, JIANG Jin-bao. Quantitative Identification of Yellow Rust and Powdery Mildew in Winter Wheat Based on Wavelet Feature[J]. Spectroscopy and Spectral Analysis, 2016, 36(6): 1854
Received: Apr. 13, 2015
Accepted: --
Published Online: Dec. 20, 2016
The Author Email: LU Jun-jing (junjing2@sina.com)