叶绿素荧光PCA-SVM分析的黄瓜病虫害诊断研究
[1] Vapnik V N. The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1955.
[2] Cao Y Y, Frank P M. IEEE Trans on Fuzzy Systems, 2000, 8(2): 200.
[3] ZHANG Xiang, TIAN Jin-wen, XIAO Xiao-ling, et al(张翔, 田金文, 肖晓玲, 等). Signal Processing(信号处理), 2004, 20(2): 208.
[4] Rober E K, David J G, Grant R G. Society of Photo-Optical Instrum Entation Engineers, 2000, 39(3): 704.
[5] PU Rui-liang, GONG Peng(蒲瑞良, 宫鹏). High-Spectrum Remote Sensing and Application(高光谱遥感及其应用). Beijing: Higher Education Press(北京: 高等教育出版社), 2000.
[6] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄, 赵龙莲, 韩东海, 等). Foundation of Near Infrared Spectral Analysis and Its Application(近红外光谱分析基础与应用). Beijing: China Light Industry Press(北京: 中国轻工业出版社), 2005.
[8] Hartley R D. Phytochemistry, 1973, 12: 305.
[9] Harris P J, Hartely R D. Nature, 1976, 259: 508.
[10] Lichtenthaler H K, Schweiger J. Journal of Plant Physiology, 1998, 152: 272.
[11] Pfudel E. Photosynth Research, 1988, 56: 185.
杨昊谕, 于海业, 刘煦, 张蕾, 隋媛媛. 叶绿素荧光PCA-SVM分析的黄瓜病虫害诊断研究[J]. 光谱学与光谱分析, 2010, 30(11): 3018. YANG Hao-yu, YU Hai-ye, LIU Xu, ZHANG Lei, SUI Yuan-yuan. Diagnosis of Cucumber Diseases and Insect Pests by Fluorescence Spectroscopy Technology Based on PCA-SVM[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 3018.