1)Spectral index光谱指数
1.Adopting the Friedmann-Robertson-Walker model,we present a new exact solution to Einstein s equation that describes the evolution of the cosmological chaotic inflation model,and calculate the spectral indices ns of the scalar density fluctuation and the gravitational wave spectral index ng.采用Friedmann-Robertson-Walker模型,提出了一个新的描述宇宙浑沌暴涨模型演化的Einstein场方程解,并计算了标量密度涨落的光谱指数ns和引力波光谱指数ng,得到ns的值很好地符合宇宙背景观测卫星观测到的值。
2.By analyzing the spectral index and its relative error, it confirms the spectral index S_R=R_(1600)/R_(820) as the characteristic parameters of the model, where R_(1600) and R_(820) are the reflectivities at 1600 nm and 820 nm.在分析植被光谱特征与光谱和植被水分相关性的基础上,初步确定几个波段或波段组合为植被含水量的光谱指数。
3.Based on the analysis of the measured spectra, four spectral indexes were defined to build up formulas for identification of the four items.在光谱分析的基础上,首先建立了4种光谱指数,进而利用这4种光谱指数建立了水华、浮叶植物、沉水植物和水体的判别公式,并利用2006年10月水面实验测量的光谱数据训练得到了判别公式中的阈值。
英文短句/例句
1.Study on Spatial Variability of Soil Salinity Based on Spectral Indices and EM38 Readings基于光谱指数与EM38的土壤盐分空间变异性研究
2.Remote Sensing Quantitative Monitoring and Analysis of Fuel Moisture Content Based on Spectral Index基于光谱指数法的植被含水量遥感定量监测及分析
3.Two Kinds of Modified Spectral Indices for Retrieval of Crop Canopy Chlorophyll Content两种用于作物冠层叶绿素含量提取的改进光谱指数
4.Quantitative relationships between hyper-spectral vegetation indices and leaf area index of rice高光谱植被指数与水稻叶面积指数的定量关系
5.Remote Sensing of Aircraft Engine Exhausts Using FTIR-emission-spectroscopyFTIR发射光谱遥测飞机发动机排放指数
6.Estimating Forest Leaf Area Index Using Hyperspectral Remote Sensing Data of Hypeion;利用Hypeion高光谱遥感数据估测森林叶面积指数
7.Camera flash illuminants-Determination of spectral distribution index(ISO/SDI)GB/T17558-1998照相闪光照明光源光谱分布指数(ISO/SDI)的测定
8.The Universal Pattern Decomposition Method and the Vegetation Index Based on the UPDM;通用光谱模式分解算法及植被指数的建立
9.Airborne Hyperspectral Red Tide Detection Method Based on Vegetation Index;基于植被指数的航空高光谱赤潮检测方法
10.The Correlation Between Broad-band Spectral Index and Luminosity for XBLs and RBLs;XBLs和RBLs间的光度与宽波段谱指数的相关性分析
11.Leaf Absorptance Spectrum Sensitive Vegetation Indices Under Sulfur Dioxide Acute InjurySO_2毒害水稻叶片吸收光谱植被指数研究
12.Estimation of Regional Leaf Area Index by Remote Sensing Inversion of PROSAIL Canopy Spectral ModelPROSAIL冠层光谱模型遥感反演区域叶面积指数
13.X-Ray Photoelectron Spectroscopic Analysis of Celluloses with Different Crystallization Index不同结晶指数纤维素的X射线光电子能谱分析
14.Study on the Determination of Permanganate Index by UV-Vis Spectrometry紫外-可见光谱法测定高锰酸盐指数的研究
15.Study on Fluorescence Spectrum of Chinese Traditional Medicines & Establishment of Three Dimension Fluorescence Fingerprint Spectrum Database;几种中药荧光性质的研究及中药三维荧光指纹图谱数据库的构建
16.Research of Crop Canopy Structural Parameter by Using Hyperspectral Vegetation Indices of Cotton;基于高光谱植被指数的棉花冠层结构参数的估算研究
17.Study on the Estimation Model of Production of Processing Tomato by Canopy Hyperspectral Remote Sensing Data and Leaf Area Index利用高光谱数据和叶面积指数对加工番茄产量估算的研究
18.digital multispectral remote-sensing data数字多光谱遥感数据
相关短句/例句
spectral indices光谱指数
1.Retrieval winter wheat ground cover by short-wave infrared spectral indices in field and sensitivity analysis;红外光谱指数反演大田冬小麦覆盖度及敏感性分析
2.At leaf level,we analyzed the applicability of the spectral indices when applied to chlorophyll.对目前提出的光谱指数用以提取叶片叶绿素含量的适应性进行了分析和评价。
3.The objective of this paper is to determine the suitable MODIS spectral indices for monitoring growth status change during crop growing season.利用多个时次的小麦地面光谱与相应的生理参量测量数据(140组),构建了常见宽波段植被指数形式的MODIS(中分辨率成像光谱仪)光谱指数。
3)hyperspectral index高光谱指数
4)Spectral indices method光谱指数法
5)spectral vegetation indices光谱植被指数
1.The grassyield and its refcectgance are observed from 1992 to 1994 at different grassland,the annual variation role is studied and the differences of grass yield and spectral vegetation indices are compared.据１９９２～１９９４年天山北坡中东段各种主要天然草地类型混合牧草群落光谱观测资料，牧草产量资料分析发现，天然草地牧草产量与光谱植被指数都具有季节变化特征，呈现由低到高，再由高到低的变化规律；天然草地光谱植被指数可以较好地反映牧草产量的年际变化和不同类型天然草地的产量差异，由于降水等自然条件的影响，牧草产量高的年份，光谱植被指数也高，牧草产量低的年份，光谱植被指数也低。
6)spectral vegetation index光谱植被指数
1.Correlations between leaf area index and hyperspectral vegetation index of spring wheat on Loess Plateau;黄土高原春小麦叶面积指数与高光谱植被指数相关分析
延伸阅读
迁移效率指数、偏好指数和差别指数迁移效率指数、偏好指数和差别指数 迁移效率指数、偏好指数和差别指数迁移效率指数是用于测定两地间人口迁移效率的指标。它是净迁移对总迁移之比。计算公式为:EIM一摇寿纂拼又‘。。上式中，}人么夕一材方}为i、]两地净迁移人数;从少+材户为i、]两地总迁移人数;El入了为迁移效率指数。 EIM的取值范围为。至100，如某一地区的值越大，反映迁移的的影响也越大。如果计算i地区与其他一切地区之间的人口迁移效率指数EIM厂，则: }艺材。一芝Mj、}EIM汀艺。+乏M，(j笋i) 迁移偏好指数是从一个地区向另一地区的实际迁移人数与期望迁移人数之比。计算公式为:____M.___材尸2行一:一二子一一不石一二，么M“ 了厂‘.厂‘、八 }二不十二六二1 、厂厂7上式中，M“为从i地迁到j地的实际迁移量;艺材。为总的人口迁移量;尸为总人口;M尸I，j为迁移偏好指数。通过计算迁移偏好指数，可以反映各地区的相对引力。 迁移差别指数是反映具有某种特征的迁移人口与非迁移人口区别的指数。例如，专业技术人员的人数所占比重，各种文化程度人数所占比重等，以便研究人才流失和其他间题。计算公式为:M‘从IMD、一翌不丝xl。。 .义V‘ N上式中，M为迁移人数;M，为具有i特征的迁移人数;N为非迁移人数;N‘为具有i特征的非迁移人数;了八了D、为迁移差别指数。
