[1] Li X W,Wang J D.Plant Photon Remote Sensing Model and Parameterizing of Plant Structure[M].Beijing:Science Press,1995.[李小文,王锦地.植被光学遥感模型与植被结构参数化[M].北京:科学出版社,1995.]
[2] Qin W, Liang S. Plane Parallel Canopy Radiation Transfer Modeling and Applications:Recent Advances andFuture Directions[J].Remote Sensing Review,2000,18:281-305.
[3] Zhao Y S.Principle and Methodology of Remote Sensing Application and Analysis[M].Beijing:Science Press,2003.[赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003.]
[4] Suits G H.The Calculation of the Directional Reflectance of Vegetative Canopy[J].Remote Sensing of Environ.,1971,2:117-125.
[5] Chance J E,Cantu J M.A Study of Plant Canopy Reflectance Models[R].Unpublished Report,Pan American University,1975:62.
[6] Kuusk A E.The Hotspot of a Uniform Vegetation Cover[J].Earth Res. from Space,1983,4:90-99.
[7] Kuusk A E.The Hotspot Effect in Plant Canopy Reflectance [A].Photon-vegetation Interactions:Applications in Optical Remote Sensing and Plant Physiology[C].New York:Springer-Verlag,1991.
[8] Kuusk A E.A Fast Invertible Canopy Reflectance Model[J].Remote Sens.Environ.,1995,51:342-350.
[9] Jupp D,Strahler A.A Hotspot Model for Leaf Canopies[J].Remote Sens.Environ.,1991,38:193-210.
[10] Qin W H,Jupp D L B.An Analytical and Computationally Efficient Reflectance Model for Leaf Canopies[J].Angricultural and Forest Meterology,1993,66:31-64.
[11] Verhoef W,Bach H.Simulation of Hyperspectral and Directional Radiance Images Using Coupled Biophysical and Atmospheric Radiative Transfer Models[J].Remote Sensing of Environment,2003,87:23-41.
[12] Verhoef W,Bach H.Couple Soil-leaf-canopy and Atmosphere Radiative Transfer Modeling to Simulate Hyperspectral Multi-angular Surface Reflectance and TOA Radiance Data [J].Remote Sensing of Environment,2007,10:1-17.
[13] Liu Q,Chen L F,Liu Q H,et al.A Radiation Transfer Model to Predict Canopy Radiation in Thermal Infrared Band
[J].Journal of Remote Sensing,2003,7(3):161-167.[刘强,陈良富,柳钦火,等.作物冠层的热红外辐射传输模型[J].遥感学报,2003,7(3):161-167.]
[14] Zhang R H,Qin H W.Collection of Bidirectional Reflectance Spectrum of Main Crops in North China[M].Beijing:Science Press,1991.[张仁华,覃汉文.中国北方主要农作物双向反射光谱数据集[M].北京:科学出版社,1991.]
[15] Walker J,Jupp D L H,Penridge L K,et al.Interpretation of Vegetation Structure in Landsat MSS Imagery:A Case Study in Disturbed Semi-arid Eucalypt Woodlands.Part 1.Field Data Analysis[J].Journal of EnvironmentalManagement,1986,23:19-33.
[16] Li X W,Strahler A H.Geometric-optical Bidirectional Reflectance Modeling of Thediscrete Crown Vegetation Canopy:Effect of Crown Shape and Mutual Shadowing [J]. IEEE Trans.on Geosci.Remote Sensing,1992,30(2):276-292.
[17] Schaaf G B,Li X W,Strahler A H.Topographic Effects on Bidirectional and Hemispherical Reflectances Calculated with a Geometric-optical Canopy Model[J].IEEE Trans.Geosci.Remote Sens.,1994,32:1186-1193.
[18] Chen J M,Leblanc S G.A Four-scale Bi-directional Reflectance Model Based on Canopy Architecture[J].IEEE Trans.Geosci.Remote Sens.,1997,35:1316-1337.
[19] Qi J,Kerr Y H,Moran M S,et al.Leaf Area Index Estimates Using Remotely Sensed Data and BRDF Models in a Semiarid Region[J].Remote Sensing of Environment,2000,73:18-30.
[20] Li X W,Wang J D,Strahler A H.A Hybrid Geometric Optical-Radiative Transfer Approach for Modeling Light Absorption and Albedo of Discontinuous Canopies[J].Science in China(Series B),1994,24(8):828-836.[李小文,王锦地,Strahler A H.不连续植被及其下地表面对光辐射的吸收与反照率模型[J].中国科学(B辑),1994,24(8):828-836.]
[21] Ni W,Li X.A Coupled Vegetation-soil Bidirectional Reflectance Model for a Semiarid Landscape[J].Remote Sens.Environ.,2000,74:113-12.
[22] Huang J X,Wu B F,Zeng Y,etal.Forest Canopy BRDF Simulation Using Monte Carlo Method[J]. Journal of System Simulation,2006,18(6):1671-1676.[黄健熙,吴炳方,曾源,等.基于蒙特卡罗方法的森林冠层BRDF模拟[J].系统仿真学报,2006,18(6):1671-1676.]
[23] Huang J X,Wu B F,Tian Y C,etal.Crop Canopy BRDF Simulation and Analysis Using Monte Carlo Method[J].Transactions of the Chinese Society of Agricultural Engineering,2006,22(6):1-6.[黄健熙,吴炳方,田亦陈,等.作物冠层BRDF的Monte Carlo模拟与分析[J].农业工程学报,2006,22(6):1-6.]
[24] Xie D H,Sun R,Zhu Q J,et al.Reflectance Distribution of Corn Canopies Simulated with Radiosity-graphics Combined Model[J].Acta Agronomica Sinica,2006,32(3):317-323.[谢东辉,孙睿,朱启疆,等.利用辐射度模型模拟玉米冠层辐射分布[J].作物学报,2006,32(3):317-323.]
[25] Gao F,Strahler A H,Xia Z G,et al.New Approach for Remote Sensing Inversion Using Kernel-Driven BRDF Model [J].Chinese Science Bulletin,1998,43(12):1315-1318.[高峰,Strahler A H,Xia Z G,等.“核”驱动BRDF模型反演新途径[J].科学通报,1998,43(12):1315-1318.]
[26] Yang H,Li X W,Gao F.An Algorithm for the Retrieval of Albedo from Space Using New GO Kernel-Driven BRDF Model[J].Journal of Remote Sensing,2002,6(4):246-251.[杨华,李小文,高峰.新几何光学核驱动BRDF模型反演地表反照率的算法[J].遥感学报,2002,6(4):246-251.]
[27] Li J,Liu Q,Liu Q H,et al.Validation of Polynomial Expression Model and Inversion of Crop Cover Rate[J].Journal of Remote Sensing,2006,10(5):812-819.[李静,刘强,柳钦火,等.基于多项式表达模型的多角度覆盖率反演研究[J].遥感学报,2006,10(5):812-819.]
[28] Li X W,Gao F,Wang J D.Uncertainty and Sensitivity Matrix of Parametersin Inversion of Physical BRDF Model
[J].Journal of Remote Sensing,1997,1(1):1-10.[李小文,高峰,王锦地.遥感反演参数的不确定性与敏感性矩阵[J].遥感学报,1997,1(1):1-10.]
[29] Li X W,Wang J D,Hu B X,et al.The Application of Prion Knowledge in Remote Sensing Retrieval[J].Science in China (Series D),1998,28(1):67-72.[李小文,王锦地,胡宝新,等.先验知识在遥感反演中的作用[J].中国科学(D辑),1998,28(1):67-72.]
[30] Tang S H,Zhu Q J,Yan G J.Theories and Methods of Terrestrial Parameter Extraction from Remote Sensing
[J].Journal of Beijing Normal University(Natural Science),2001,37(2):266-273.[唐世浩,朱启疆,闫广建.遥感地表参量反演的理论和方法[J].北京师范大学学报(自然科学版),2001,37(2):266-273.]
[31] Li X W,Wang J F,Wang J D,etal. Multi-angle and Thermal Infrared Remote Sensing of the Earth[M]. Beijing:Science Press,2001.[李小文,汪骏发,王锦地,等.多角度与热红外对地遥感[M].北京:科学出版社,2001.]
[32] Yan G J,Wu J,Wang J D,etal.Spectral Prior Knowledge and Its Use in the Remote Sensing Based Inversion of Vegetation Structure[J].Journal of Remote Sensing,2002,6(1):1-6.[闫广建,吴均,王锦地,等.光谱先验知识在植被结构遥感反演中的应用[J].遥感学报,2002,6(1):1-6.]
[33] Gao F,Li X W,Xia Z G.Multi-angle Inversion with Multistage Based on Acknowledge[J].Science in China(Series D),1998,28(4):346-350.[高峰,李小文,夏宗国.基于知识的分阶段不确定性多角度遥感反演[J].中国科学(D辑),1998,28(4):346-350.]
[34] Susaki J,Hara K,Kajiwara K,et al.Robust Estimation of BRDF Model Parameters[J]. Remote Sensing of Environment,2004,89:63-71.
[35] Wang J D,Yan G J,Wang C Z.A Mathematical Approach on Uncertain Information Process in Remote Sensing Inversion[J].Journal of Remote Sensing,2004,8(3):214-219.[王锦地,闫广建,王昌佐.遥感反演中不确定性信息处理的一种数字方法[J].遥感学报,2004,8(3):214-219.]
[36] Yang H,Xu W L.Information Stream and Its Control in the Inversion of Quantitative Remote Sensing Regularization of Inversion[J].Science in China(Series D),2003,33(8):799-808.[杨华,许王莉.定量遥感正则化反演中的信息流及其控制[J].中国科学(D辑),2003,33(8):799-808.]
[37] Zhao X,Liu S H,Tang Y M,et al.Studying on Multi-stage Robust Estimation of BRDF Model Parameters
[J].Journal of Remote Sensing,2006,10(6):901-909.[赵祥,刘素红,唐义闵,等.BRDF模型参数分阶段鲁棒性反演方法
[J].遥感学报,2006,10(6):901-909.]
[38] Tang S H,Zhu Q J,Li X W,et al.A Modified Genetic Algorithm and Its Capacity to Invert GOMS Model[J].Journal of Remote Sensing,2001,5(5):327-333.[唐世浩,朱启疆,李小文,等.遗传算法及其在GOMS模型反演中的应用效果分析[J].遥感学报,2001,5(5):327-333.]
[39] Zhuang J L,Chen L F,Xu X R.Retrieval of Component Temperature of Continuous Vegetation Using Genetic Algorithm[J].Journal of Remote Sensing,2001,5(1):1-7.[庄家礼,陈良富,徐希孺.用遗传算法反演连续植被的组分温度
[J].遥感学报,2001,5(1):1-7.]
[40] Huang C L,Li X,Lu L.A Simulated Annealing Algorithm for Retrieval of Vegetation Parameter from Optical Remote Sensing Data[J].Remote Sensing Technology and Application,2006,21(4):271-276.[黄春林,李新,卢玲.基于模拟退火算法的植被参数遥感反演[J].遥感技术与应用,2006,21(4):271-276.]
[41] Abuelgasim A A,Gopal S,Strahler A H,et al.Forward and Inverse Modeling of Canopy Directional Reflectance Using a Neural Network[J].Int.J.Remote Sensing,1998,19(3):453-471.
[42] Shen G R, Wang R C. Study on Bi-directional Reflectance Model of Rice Using a Artificial Neural Network
[J].Journal of Remote Sensing,2002,6(4):252-258.[申广荣,王人潮.基于神经网络的水稻双向反射模型研究[J].遥感学报,2002,6(4):252-258.]
[43] Qin J,Yan G J,Liu S M,etal.Application of Set Karman Filtering in Remote Sensing Inversion for Surface Parameters[J].Science in China(Series D),2005,35(8):790-798.[秦军,阎广建,刘绍民,等.集合卡曼滤波在遥感反演地表参数中的应用[J].中国科学(D辑),2005,35(8):790-798.] |