[1] 孙刚, 黄文江, 陈鹏飞, 等. 轻小型无人机多光谱遥感技术应用进展[J]. 农业机械学报, 2018, 49(3): 1-17. SUN G, HUANG W J, CHEN P F, et al.Advances in UAV-based multispectral remote sensing applications[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(3): 1-17.(in Chinese with English abstract) [2] 刘建刚, 赵春江, 杨贵军, 等. 无人机遥感解析田间作物表型信息研究进展[J]. 农业工程学报, 2016, 32(24): 98-106. LIU J G, ZHAO C J, YANG G J, et al.Review of field-based phenotyping by unmanned aerial vehicle remote sensing platform[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(24): 98-106.(in Chinese with English abstract) [3] 曹英丽, 邹焕成, 郑伟, 等. 水稻叶片高光谱数据降维与叶绿素含量反演方法研究[J]. 沈阳农业大学学报, 2019, 50(1): 101-107. CAO Y L, ZOU H C, ZHENG W, et al.Study on methods of reducing hyperspectral data and retrieving chlorophyll content from rice leaf[J]. Journal of Shenyang Agricultural University, 2019, 50(1): 101-107.(in Chinese with English abstract) [4] 孙红, 郑涛, 刘宁, 等. 高光谱图像检测马铃薯植株叶绿素含量垂直分布[J]. 农业工程学报, 2018, 34(1): 149-156. SUN H, ZHENG T, LIU N, et al.Vertical distribution of chlorophyll in potato plants based on hyperspectral imaging[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(1): 149-156.(in Chinese with English abstract) [5] 毛博慧,李民赞,孙红,等.冬小麦苗期叶绿素含量检测光谱学参数寻优[J].农业工程学报,2017,33(增刊1):164-169. MAO B H, LI M Z, SUN H, et al.Optimization of spectroscopy parameters and prediction of chlorophyll content at seeding stage of winter wheat[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(Suppl. 1):164-169. [6] 刘昌华, 方征, 陈志超, 等. ASD Field Spec3野外便携式高光谱仪诊断冬小麦氮营养[J]. 农业工程学报, 2018, 34(19): 162-169. LIU C H, FANG Z, CHEN Z C, et al.Nitrogen nutrition diagnosis of winter wheat based on ASD Field Spec3[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(19): 162-169.(in Chinese with English abstract) [7] 尼加提·卡斯木, 师庆东, 王敬哲, 等. 基于高光谱特征和偏最小二乘法的春小麦叶绿素含量估算[J]. 农业工程学报, 2017, 33(22): 208-216. NIJAT KASIM, SHI Q D, WANG J Z, et al.Estimation of spring wheat chlorophyll content based on hyperspectral features and PLSR model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(22): 208-216.(in Chinese with English abstract) [8] 贺倩,姬鑫慧,洪宇辰.入侵杂草紫茎泽兰的高光谱特征提取和分析[J].科技创新与应用,2019(7):44-47. HE Q, JI X H, HONG Y C.The hyperspectral featureextraction and analysis of the invading weed purple stem[J]. Technology Innovation and Application, 2019(7):44-47.(in Chinese) [9] 田明璐, 班松涛, 常庆瑞, 等. 基于无人机成像光谱仪数据的棉花叶绿素含量反演[J]. 农业机械学报, 2016, 47(11): 285-293. TIAN M L, BAN S T, CHANG Q R, et al.Estimation of SPAD value of cotton leaf using hyperspectral images from UAV-based imaging spectroradiometer[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(11): 285-293.(in Chinese with English abstract) [10] 王伟, 彭彦昆, 马伟, 等. 冬小麦叶绿素含量高光谱检测技术[J]. 农业机械学报, 2010, 41(5): 172-177. WANG W, PENG Y K, MA W, et al.Prediction of chlorophyll content of winter wheat using leaf-level hyperspectral data[J]. Transactions of the Chinese Society for Agricultural Machinery, 2010, 41(5): 172-177.(in Chinese with English abstract) [11] 杨峰, 范亚民, 李建龙,等. 高光谱数据估测稻麦叶面积指数和叶绿素密度[J]. 农业工程学报, 2010, 26(2):237-243. YANG F, FAN Y M, LI J L, et al.Estimating LAI and CCD of rice and wheat using hyperspectral remote sensing data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(2):237-243. (in Chinese with English abstract) [12] LIANG L, QIN Z H, ZHAO S H, et al.Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method[J]. International Journal of Remote Sensing, 2016, 37(13): 2923-2949. [13] 张国圣, 许童羽, 于丰华, 等. 基于高光谱的水稻叶片氮素估测与反演模型[J]. 浙江农业学报, 2017, 29(5): 845-849. ZHANG G S, XU T Y, YU F H, et al.Nitrogen content inversion of rice leaf based on the hyperspectral data[J]. Acta Agriculturae Zhejiangensis, 2017, 29(5): 845-849.(in Chinese with English abstract) [14] 郭燕, 程永政, 黎世民, 等. 区域尺度冬小麦叶绿素含量的高光谱预测和空间变异研究[J]. 麦类作物学报, 2017, 37(7): 970-977. GUO Y, CHENG Y Z, LI S M, et al.Hyperspectral-based estimation and spatial variability of chlorophyll content of winter wheat in regional scale[J]. Journal of Triticeae Crops, 2017, 37(7): 970-977.(in Chinese with English abstract) [15] 赵晓庆, 杨贵军, 刘建刚, 等. 基于无人机载高光谱空间尺度优化的大豆育种产量估算[J]. 农业工程学报, 2017, 33(1): 110-116. ZHAO X Q, YANG G J, LIU J G, et al.Estimation of soybean breeding yield based on optimization of spatial scale of UAV hyperspectral image[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(1): 110-116.(in Chinese with English abstract) [16] YU F H, XU T Y, DU W, et al.Radiative transfer models (RTMs) for field phenotyping inversion of rice based on UAV hyperspectral remote sensing[J]. International Journal of Agricultural and Biological Engineering, 2017, 10(4): 150-157. [17] 王洋, 肖文, 邹焕成, 等. 基于PROSPECT模型的植物叶片干物质估测建模研究[J]. 沈阳农业大学学报, 2018, 49(1): 121-127. WANG Y, XIAO W, ZOU H C, et al.Plant leaf dry matter estimating and modeling based on PROSPECT model[J]. Journal of Shenyang Agricultural University, 2018, 49(1): 121-127.(in Chinese with English abstract) [18] 李岚涛, 李静, 明金, 等. 冬油菜叶面积指数高光谱监测最佳波宽与有效波段研究[J]. 农业机械学报, 2018, 49(2): 156-165. LI L T, LI J, MING J, et al.Selection optimization of hyperspectral bandwidth and effective wavelength for predicting leaf area index in winter oilseed rape[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(2): 156-165.(in Chinese with English abstract) [19] 王东, 方圣辉, 王政. 基于光谱特征和颜色特征的油菜提取研究[J]. 农业机械学报, 2018, 49(3): 158-165. WANG D, FANG S H, WANG Z.Extraction for oilseed rape based on spectral feature and color feature[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(3): 158-165.(in Chinese with English abstract) [20] ZHANG Y Z, HALLIKAINEN M, ZHANG H S, et al.Chlorophyll-a estimation in turbid waters using combined SAR data with hyperspectral reflectance data: a case study in lake Taihu, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(4): 1325-1336. [21] PIECZYWEK P M, CYBULSKA J, SZYMANSKA-CHARGOT M, et al.Early detection of fungal infection of stored apple fruit with optical sensors-comparison of biospeckle, hyperspectral imaging and chlorophyll fluorescence[J]. Food Control, 2018, 85: 327-338. [22] 孙红, 李民赞, 赵勇, 等. 冬小麦生长期光谱变化特征与叶绿素含量监测研究[J]. 光谱学与光谱分析, 2010, 30(1): 192-196. SUN H, LI M Z, ZHAO Y, et al.The spectral characteristics and chlorophyll content at winter wheat growth stages[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 192-196.(in Chinese with English abstract) [23] 吴露露, 马旭, 齐龙, 等. 基于叶片形态的田间植物检测方法[J]. 农业机械学报, 2013, 44(11): 241-246. WU L L, MA X, QI L, et al.Field plants detection based on leaf morphology[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(11): 241-246.(in Chinese with English abstract) [24] JIA M, ZHOU C, CHENG T, et al.Inversion of chlorophyll fluorescence parameters on vegetation indices at leaf scale[C]//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016. [25] 赵庆展, 刘伟, 尹小君, 等. 基于无人机多光谱影像特征的最佳波段组合研究[J]. 农业机械学报, 2016, 47(3): 242-248. ZHAO Q Z, LIU W, YIN X J, et al.Selection of optimum bands combination based on multispectral images of UAV[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(3): 242-248.(in Chinese with English abstract) [26] 冯海宽, 杨福芹, 杨贵军, 等. 基于特征光谱参数的苹果叶片叶绿素含量估算[J]. 农业工程学报, 2018, 34(6): 182-188. FENG H K, YANG F Q, YANG G J, et al.Estimation of chlorophyll content in apple leaves base on spectral feature parameters[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(6): 182-188.(in Chinese with English abstract) [27] JAY S, MAUPAS F, BENDOULA R, et al.Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: comparison of vegetation indices and PROSAIL inversion for field phenotyping[J]. Field Crops Research, 2017, 210: 33-46. [28] SABATER N, VICENT J, ALONSO L, et al.Impact of atmospheric inversion effects on solar-induced chlorophyll fluorescence: exploitation of the apparent reflectance as a quality indicator[J]. Remote Sensing, 2017, 9(6): 622. [29] 王丽爱, 马昌, 周旭东, 等. 基于随机森林回归算法的小麦叶片SPAD值遥感估算[J]. 农业机械学报, 2015, 46(1): 259-265. WANG L A, MA C, ZHOU X D, et al.Estimation of wheat leaf SPAD value using RF algorithmic model and remote sensing data[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(1): 259-265.(in Chinese with English abstract) [30] 梁栋, 管青松, 黄文江, 等. 基于支持向量机回归的冬小麦叶面积指数遥感反演[J]. 农业工程学报, 2013, 29(7): 117-123. LIANG D, GUAN Q S, HUANG W J, et al.Remote sensing inversion of leaf area index based on support vector machine regression in winter wheat[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(7): 117-123.(in Chinese with English abstract) [31] 郑一力, 钟刚亮, 王强, 等. 基于多特征降维的植物叶片识别方法[J]. 农业机械学报, 2017, 48(3): 30-37. ZHENG Y L, ZHONG G L, WANG Q, et al.Method of leaf identification based on multi-feature dimension reduction[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017, 48(3): 30-37.(in Chinese with English abstract) [32] KJÆR A, NIELSEN G, STÆRKE S, et al. Detection of glycoalkaloids and chlorophyll in potatoes (Solanum tuberosum L.) by hyperspectral imaging[J]. American Journal of Potato Research, 2017, 94(6): 573-582. [33] 丁永军, 张晶晶, 李修华, 等. 基于光谱红边位置提取算法的番茄叶片叶绿素含量估测[J]. 农业机械学报, 2016, 47(3): 292-297. DING Y J, ZHANG J J, LI X H, et al.Estimation of chlorophyll content of tomato leaf using spectrum red edge position extraction algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(3): 292-297.(in Chinese with English abstract) [34] KONG W P, HUANG W J, ZHOU X F, et al.Off-nadir hyperspectral sensing for estimation of vertical profile of leaf chlorophyll content within wheat canopies[J]. Sensors, 2017, 17(12): 2711. [35] 刘燕德, 肖怀春, 孙旭东, 等. 柑桔叶片黄龙病光谱特征选择及检测模型[J]. 农业工程学报, 2018, 34(3): 180-187. LIU Y D, XIAO H C, SUN X D, et al.Spectral feature selection and discriminant model building for Citrus leaf Huanglongbing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(3): 180-187.(in Chinese with English abstract) |