[1]冯伟, 王永华, 谢迎新, 康国章, 朱云集, 郭天财. 作物氮素诊断技术的研究综述. 中国农学通报, 2008, 24(11): 179-181.Feng W, Wang Y H, Xie Y X, Kang G Z, Zhu Y J, Guo T C. Review of study on technique of crop nitrogen diagnosis. Chinese Agricultural Science, 2008, 24(11): 179-181. (in Chinese)[2]牛铮, 陈永华, 隋洪智, 张庆员, 赵春江. 叶片化学组分成像光谱遥感探测机理分析. 遥感学报, 2000, 4(2): 125-129.Niu Z, Chen Y H, Sui H Z, Zhang Q Y, Zhao C J. Mechanism analysis of leaf biochemical concentration by high spectral remote sensing. Journal of Remote Sensing, 2000, 4(2): 125-129. (in Chinese)[3]Al-Abbas A H, Barr R, Hall J D, Crane F L, Baumgardner M F. Spectra of normal and nutrient-deficient maize leaves. Agronomy Journal, 1974, 66: 16-20.[4]吴琼, 齐波, 赵团结, 姚鑫锋, 朱艳, 盖钧镒. 高光谱遥感估测大豆冠层生长和籽粒产量的探讨. 作物学报, 2013, 39(2): 309-318. Wu Q, Qi B, Zhao T J, Yao X F, Zhu Y, Gai J Y. A tentative study on utilization of canopy hyperspectral reflectance to estimate canopy growth and seed yield in soybean. Acta Agronomica Sinica, 2013, 39(2): 309-318. (in Chinese)[5]Cheng T, Rivard B, Sánchez-Azofeifa A. Spectroscopic determination of leaf water content using continuous wavelet analysis. Remote Sensing of Environment, 2011, 115(2): 659-670.[6]Thomas J R, Oerther G F. Estimating nitrogen content of sweet pepper leaves by reflectance measurements. Agronomy Journal, 1972, 64: 11.[7]Stroppiana D, Boschetti M, Brivio P A, Bocchi S. Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry. Field Crops Research, 2009, 111: 119-129. [8]姚霞, 朱艳, 田永超, 冯伟, 曹卫星. 小麦叶层氮含量估测的最佳高光谱参数研究. 中国农业科学, 2009, 42(8): 2716-2725.Yao X, Zhu Y, Tian Y C, Feng W, Cao W X. Research of the optimum hyperspectral vegetation indices on monitoringthe nitrogen content in wheat leaves. Scientia Agricultura Sinica, 2009, 42(8): 2716-2725. (in Chinese)[9]梁亮, 杨敏华, 邓凯东, 张莲蓬, 林 卉, 刘志宵. 一种估测小麦冠层氮含量的新高光谱指数. 生态学报, 2011, 31(21): 6594-6605. Liang L, Yang M H, Deng K D, Zhang L P, Lin H, Liu Z X. A new hyperspectral index for the estimation of nitrogen contents of wheat canopy. Acta Ecolagica Sinica, 2011, 31(21): 6594-6605. (in Chinese)[10]冯伟, 姚霞, 朱艳, 田永超, 曹卫星. 基于高光谱遥感的小麦叶片含氮量监测模型研究. 麦类作物学报, 2008, 28(5): 851-860. Feng W, Yao X, Zhu Y, Tian Y C, Cao W X. Monitoring leaf nitrogen concentration by hyperspectral remote sensing in wheat. Journal of Triticeae Crops, 2008, 28(5): 851-860. (in Chinese)[11]Kokaly R F. Investigating a physical basis for spectroscopic estimates of leaf nitrogen concentration. Remote Sensing of Environment, 2001, 75: 153-161.[12]Milton N M, Eiswerth B A, Ager C M. Effect of phosphorus deficiency on spectral reflectance and morphology o f soybean plants. Remote Sensing of Environment, 1991, 36: 121-127. [13]Tomas A S, Caula A B. Changes in spectral reflectance of wheat leaves in response to specific macronutrient deficiency. Advances in Space Research, 2005, 35: 310. [14]程一松, 胡春胜, 王成, 于贵瑞. 养分胁迫下的夏玉米生理反应与光谱特征. 资源科学, 2001, 23(6): 54-58.Cheng Y S, Hu C S, Wang C, Yu G R. Physiological response and spectral characteristics of summer corn under nutrient stress condition. Resources Science, 2001, 23(6): 54-58. (in Chinese)[15]Osborne S L, Schepers J S, Francis D D, Schlemmer M R. Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements. Agronomy Journal, 2002, 94: 1215-1221.[16]Menesatti P, Antonucci F, Pallottino F, Roccuzzo G, Allegra M, Stagno F, Intriglioio F. Estimation of plant nutritional status by Vis-NIR spectrophotometric analysis on orange leaves. Biosystems engineering, 2010, 105(4): 448-454.[17]朱西存, 赵庚星, 董芳, 王凌, 雷彤, 战兵. 基于高光谱的苹果花磷素含量监测模型. 应用生态学报, 2009, 78(10): 2424-2430.Zhu X C, Zhao G X, Dong F, Wang L, Lei T, Zhan B. Monitoring models for phosphorus content of apple flowers based on hyperspectrum. Chinese Journal of Applied Ecology, 2009, 78(10): 2424-2430. (in Chinese)[18]邢东兴, 常庆瑞. 基于光谱分析的果树叶片全氮、全磷、全钾含量估测研究—以红富士苹果树为例. 西北农林科技大学学报: 自然科学版, 2009, 37(2): 141-147.Xing D X, Chang Q R. Research on predicting the TN, TP, TK contents of fresh fruit tree laves by Spectral Analysis with Red Fuji Apple tree as an example. Journal of Northwest A&F University: National Science Edition, 2009, 37(2): 141-147. (in Chinese)[19]李波, 刘占宇, 黄敬风, 张莉丽, 周湾, 石晶晶. 基于PCA和PNN的水稻病虫害高光谱识别. 农业工程学报, 2009, 25(9): 143.Li B, Liu Z Y, Huang J F, Zhang L L, Zhou W, Shi J J. Hyperspectral identification of rice diseases and pests based on principal component analysis and probabilistic neural network. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(9): 143. (in Chinese) [20]周鼎浩. 基于可见-近红外光谱的土壤全磷反演研究[D]. 北京: 中国科学院大学, 2013.Zhou D H. Visible-near infrared reflectance spectroscopy for prediction of soil total phosphorus content[D]. Beijing: Chinese Academy of Sciences, 2013. (in Chinese)[21]秦树基, 叶坚. PNN在混合气体分析中的应用. 传感器与微系统, 2006, 25(4): 78-79. Qin S J, Ye J. Application of PNN in analyzing gas mixtures. Transducer and Microsystem Technologies, 2006, 25(4): 78-79. (in Chinese)[22]薄翠梅, 王执铨, 张广明. 基于KPCA-PNN的复杂工业过程集成故障辨识方法. 信息与控制, 2009, 38(1): 98-100.Bo C M, Wang Z Q, Zhang G M. An integrated fault identifieation method based on KPCA-PNN for complex industrial process. Information and Control, 2009, 38(1): 98-100. (in Chinese)[23]董吉文, 史奎凡, 杨波. 基于欧式距离提高人工神经网络的识别精度的方法. 小型微型计算机系统, 2004, 25(10): 1785-1788. Dong J W, Shi K F, Yang B. Based-on euclidean distance method for improving the classification errors of artificial neural networks. Mini-Micro Systems, 2004, 25(10): 1785-1788. (in Chinese)[24]肖艳芳, 宫辉力, 周德民. 基于因子分析的苜蓿叶片叶绿素高光谱反演研究. 生态学报, 2012, 32(10): 3098-3101. Xiao Y F, Gong H L, Zhou D M. A study on the hyperspectral inversion for estimating leaf chlorophyll content of clover based on factor analysis. Acta Ecologica Sinica, 2012, 32(10): 3098-3101. (in Chinese)[25]薛利红, 曹卫星, 罗卫红, 姜东, 孟亚利, 朱艳. 基于冠层反射光谱的水稻群体叶片氮素状况监测. 中国农业科学, 2003, 36(7): 808-809.Xue L H, Cao W X, Luo W H, Jiang D, Meng Y L, Zhu Y. Diagnosis of nitrogen status in rice leaves with the canopy spectral reflectance. Scientia Agricultura Sinica, 2003, 36(7): 808-809. (in Chinese)[26]田永超, 曹卫星, 姜东, 朱艳, 薛利红. 不同水氮条件下水稻冠层反射光谱与植株含水率的定量关系. 植物生态学报, 2005, 29(2): 318.Tian Y C, Cao W X, Jiang D, Zhu Y, Xue L H. Relationship between canopy reflectance and planr water content in rice under different soil water and nitrogen conditions. Acta Phytoecologica Sinica, 2005, 29(2): 318. (in Chinese)[27]刘炜, 常庆瑞, 郭曼, 邢东兴, 员永生. 冬小麦导数光谱特征提取与缺磷胁迫神经网络诊断. 光谱学与光谱分析, 2011, 31(4): 1092-1096.Liu W, Chang Q R, Guo M, Xing D X, Yuan Y S. Diagnosis of phosphorus nutrition in winter wheat based on first derivative spectra and radial basis function neural network. Spectroscopy and Spectral Analysis, 2011, 31(4): 1092-1096. (in Chinese) |