基于偏振光谱的叶片尺度下玉米与杂草识别研究
[1] Taghadomi-Saberi S, Hemmat A. Improving field management by machine vision - A review[J]. Agricultural Engineering International : The CIGR e-journal, 2015, 17(3):92-111.
[2] Cope J S, Corney D, Clark J Y, et al. Plant species identification using digital morphometrics: A review[J]. Expert Systems with Applications, 2012, 39: 7562-7573.
[3] Zwiggelaar R. A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops[J]. Crop Protection, 1998, 17(3): 189-206.
[4] Piron A, Leemans V, Kleynen O. Selection of the most efficient wavelength bands for discriminating weeds from crop[J]. Computers & Electronics in Agriculture, 2008, 62(2): 141-148.
[5] Moshou D, Kateris D, Pantazi X E, et al. Crop and Weed Species Recognition based on Hyperspectral Sensing and Active Learning[M]. Netherland: Wageningen Academic Publishers, 2013.
[6] Herrmann I, Shapira U, Kinast S, et al. Ground-level hyperspectral imagery for detecting weeds in wheat fields[J]. Precision Agriculture, 2013, 14(6): 637-659.
[7] Vaiphasa C, Skidmore A K, Boer W F, et al. A hyperspectral band selector for plant species discrimination[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2007, 62: 225-235.
[8] Grant L, Daughtry C S T, Vanderbilt V C. Polarized and non-polarized leaf reflectances of Coleus blumei[J]. Environmental & Experimental Botany, 1987, 27(2): 139-145.
[9] Breon F M, Tanre D, Lecomte P, et al. Polarized reflectance of bare soils and vegetation: measurements and models[J]. IEEE Transactions on Geoscience & Remote Sensing, 1995, 33(2): 487-499.
[10] Grant L, Daughtry C S T, Vanderbilt V C. Polarized and specular reflectance variation with leaf surface features[J]. Physiologia Plantarum, 1993, 88(1): 1-9.
[11] Maignan F, Bréon F M, Fédèle E, et al. Polarized reflectances of natural surfaces: Spaceborne measurements and analytical modeling[J]. Remote Sensing of Environment, 2009, 113(12): 2642-2650.
[12] Raven P N, Jordan D L, Smith C E. Polarized directional reflectance from laurel and mullein leaves[J]. Optical Engineering, 2002, 41(5): 1002-1012.
[13] Vanderbilt V C, Grant L, Daughtry C S T. Polarization of light scattered by vegetation[J]. Proceedings of the IEEE, 1985, 73(6): 1012-1024.
[14] Sid`Ko A F, Botvich I Y, Pisman T I, et al. A study of spectral-polarization characteristics of plant canopies using land-based remote sensing[J]. Journal of Quantitative Spectroscopy & Radiative Transfer, 2013, 129(11): 109-117.
[15] 赵云升, 黄方, 金伦, 等. 植物单叶偏振反射特征研究[J]. 遥感学报, 2000, 4(2): 131-135.
Zhao Yunsheng, Huang Fang, Jin Lun, et al. Study on polarizing reflectance characteristics of plant simple leaf[J]. Journal of Remote Sensing, 2000, 4(2): 131-135. (in Chinese)
[16] 宋开山, 张柏, 赵云升. 东北主要高大落叶乔木单叶的偏振特性研究[J]. 东北师大学报, 2004, 36(1): 88-94.
Song Kaishan, Zhang Bai, Zhao Yunsheng. Study on polarized characteristics of deciduous tree leaves in northeast of China[J]. Journal of Northeast Normal University, 2004, 36(1): 88-94. (in Chinese)
[17] 朱文静, 毛罕平, 刘红玉, 等. 温室番茄缺素叶片偏振反射特征分析[J]. 光谱学与光谱分析, 2014, 34(1): 145-150.
[18] Zhang L, Huang C, Wu T, et al. Laboratory calibration of a field imaging spectrometer system[J]. Sensors, 2011, 11(3):2408-2425.
[19] Wu T, Zhang L, Cen Y, et al. Polarized spectral measurement and analysis of sedum spectabile boreau using a field imaging spectrometer system[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2013, 6(2): 724-730.
[20] 李颖, 张立福, 严薇, 等. 地面成像光谱数据的田间杂草识别[J]. 遥感学报, 2013, 17(4): 855-871.
Li Ying, Zhang Lifu, Yan Wei, et al. Weed identification using imaging spectrometer data[J]. Journal of Remote Sensing, 2013, 17(4): 855-871. (in Chinese)
[21] Jia X, Richards J. Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification[J]. IEEE Transactions on Geoscience & Remote Sensing, 1999, 37(1): 538-542.
[22] Kheir R B, Greve M H, Abdallah C, et al. Spatial soil zinc content distribution from terrain parameters: a GIS-based decision-tree model in Lebanon[J]. Environmental Pollution, 2010, 158(2): 520-528.
[23] Vega F A, Matías J M, Andrade M L, et al. Classification and regression trees (CARTs) for modelling the sorption and retention of heavy metals by soil[J]. Journal of Hazardous Materials, 2009, 167(1-3): 615-624.
[24] 孟夏, 谢东辉, 汪艳, 等. 叶片多角度偏振光谱特性影响因素的实验研究[J]. 光谱学与光谱分析, 2014, 34(3): 619-624.
林芬芳, 张东彦, 王秀, 吴太夏, 陈新福. 基于偏振光谱的叶片尺度下玉米与杂草识别研究[J]. 红外与激光工程, 2016, 45(12): 1223001. Lin Fenfang, Zhang Dongyan, Wang Xiu, Wu Taixia, Chen Xinfu. Identification of corn and weeds on the leaf scale using polarization spectroscopy[J]. Infrared and Laser Engineering, 2016, 45(12): 1223001.