光谱数据的英文

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英文翻译
造句

spectroscopic data

光谱 light spectrum; optical spec ...
数据 data; record; information
暗线光谱数据 data of dark-line spectrum
光谱数据系统 spectral data system
原子光谱数据 atomic spectroscopic data
四波段光谱数据 four-band multispectral data
超光谱数据分析与应用 hyperspectral data analysis and applications
多光谱数据分析系统 mdas
色谱数据 chromatographic data
质谱数据 mass spectrometric data; mass-spectrometric data; mass-spectrometric date
酶谱数据评价 zymogram data evaluation
色谱数据系统 cds chromatography data system
核能谱数据获取 nuclear data acquisition
色谱数据处理机 chromatographic data processor
激光谱数传输换线路 laser data line
分子频谱数据库查询 molecular spectral data － frequency rearch
数字多光谱遥感数据 digital multispectral remote-sensing data
光谱 light spectrum; optical spectrum; spectrum (pl. spectra) 暗线光谱 dark-line spectrum; 明线光谱 bright-line spectrum; 太阳光谱 solar spectrum; 光谱比长[较]仪 spectrocomparator; 光谱测量 spectral measurement; 光谱反射 spectral reflectance; 光谱分类 [天文学] spectral classification; 光谱辐照度 spectral irradiance [irradiancy]; 光谱干扰 spectral interference; 光谱感光[灵敏]度 spectral sensitivity; 光谱感光计 spectrosensitometer; 光谱镜 spectral mirror; 光谱强度 spectral intensity; 光谱区 spectral regions; 光谱曲线 curve of spectrum; 光谱色 spectrum colour; 光谱仪 spectrograph
质谱数字转换器 mass spectrum digitizer
传感器数据混合处理多光谱探测器 sensor-fused multi-spectral detector
数据 data; record; information 科学数据 scientific data; 工程数据 engineering data; 估算数据 estimated data; 已知数据 given data; 原始数据basic [initial] data;谢谢你提供我这么多的数据。thank you for furnishing me with so many data.这些数据是从各方面搜集来的。these data have been collected from various sources.; 数据变换 data conversion; data reduction; 数据表 data sheet; 数据操作 data manipulation; 数据操作功能 data manipulation function; 数据操作寄存器 data manipulation register; 数据操作语言 data manipulation language; 数据存储系统 data-storage system; 数据分析 data analysis; 数据换算 revaluation of data; 数据识别 data identification; 数据输出 data output; data-out; 数据输入 data input; data-in; data entry; 数据纸 data sheet; 数据终端 data terminal
ccd光谱 ccd ectrum; ccd spectrum
β光谱 beta ray spectrum
差光谱 difference spectra; difference spectrn; difference spectrum; differential spectra
纯光谱 pure spectrum

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例句与用法

Emission spectroscopy methodology for low temperature discharge plasma of low pressure gas low pressure gas discharge has been frequently utilized to generate plasma in laboratory and application . this kind of discharge is capable of providing various kinds of plasma for any requirements and realizing control of plasma parameters
本文概述了双原子分子光谱理论，指出了双原子分子光谱对等离子体光谱诊断学的重要性，总结了应用双原子分子发射光谱和原子发射光谱进行等离子体诊断的原理和实现方法，给出了几个常用的双原子分子的光谱数据。
Furthermore , the spectrum characteristics of normal seawater and oil polluted water are also analyzed and discussed , from which we reach the conclusions that the transformation method can be used for obtaining reflectance data and airborne hyperspectral data can be used for oil film detection as well
进一步对正常海水和油污染水体的光谱特性进行分析，通过反射率曲线比较，得出运用基于图像特徵的反射率处理模型提取光谱信息和运用航空高光谱数据进行海上油污染检测的可行性。
Applying statistic learning theory and support vector machine in high dimensional multispectral data classification , the hughes phenomenon is mitigated and higher classification accuracy is obtained . the relation between the performance of svm and kernel function , support vector , training set , data dimension and so on is studied . 2
深入研究了在高维多光谱数据分类中， svm的性能与核函数类型、核函数参数、支持向量( supportvector ? sv ) 、训练样本数目、数据维数等之间的关系。
The high dimensional multispectral data , which features high spectral resolution , high spatial resolution , and large dynamic range , have provided luxuriant information about earth surface for people . because the number of training samples is limited and data dimension is high , the performance of traditional pattern classification algorithms is deteriorated
高维多光谱数据分类中，由于训练样本非常有限、数据维数很高，以经验风险最小化为归纳原则的传统模式识别方法通常难以取得很好的结果。
In this paper an artificial neural network ( ann ) approach , which is based on flexible nonlinear models for a very broad class of transfer functions , is applied for multi - spectral data analysis and modeling of airborne laser fiuorosensor in order to differentiate between classes of oil on water surface
由于ann方法适合于处理非线性系统，具有自组织、自学习、自适应和联想能力，故通过对样本反复训练，能辨别各类样本特征差异，本论文的核心工作就是将人工神经网络( ann )的方法应用于激光遥感光谱数据的智能分析。
In the 4th chapter , we first introduce basic concept , compute flow , main elements , and trait of the genetic algorithm . then we use our g - a program to analyze the raman spectroscopy data of mixed sample composed of ten species of ore . we run the g - a program repeatedly under certain condition and then do the experiment under different conditions
第四章中首先对遗传算法的基本概念、流程、要素和特点进行了介绍，然后采用自己设计的遗传算法程序对10个组分的混合矿石样品进行了分析，对同一条件下算法多次计算的结果和不同条件下算法的表现进行了讨论，分析了算法设计和基本参数的不同对计算结果的影响，验证了遗传算法用于多组分样品拉曼光谱数据分析的可行性、有效性和精确性。
We use the anti - crosstalk method to process the simulated data , and find that the difference between the actual bragg wavelength and the wavelength getting by the anti - crosstalk method is less than spectrum ' s resolution . after all , we design an experiment to examine this method , and find the experiment ' s result have a good agreement with simulated result
借助matlab软件模拟计算了两个光栅的反射光谱发生串扰的过程,使用抗串扰算法对模拟的光谱数据进行了处理,发现利用算法计算得到的bragg波长与实际值的误差不会超过设定的模拟光谱的分辨率。
And understanding and studying the spectral features and variation rules of geo - targets in the experimental area , raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets , realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor , targets and observation direction , and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio . it is suggested that " red edge " range bands of vegetation , which has close relationship with vegetation cover and biomass , is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval , and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover . the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed
研究结果如下：首先针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行了评价，提出了适用于荒漠化监测的基本波段选择集；初步了解和掌握了研究地区的地物光谱特性及变异规律，进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础；发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的“同物异谱”现象，对于谱形相似而整体反射率的值相差较大的两类地物，通过引入均值和方差图像参与分类得到解决；研究还表明在植被“红边”范围内的波段是进行荒漠化监测的主要特征波段，这些波段与植被生物量和盖度都有密切的关系，是开展精细植被分类研究和植被定量反演的重要基础；像元的导数光谱分析可以消除土壤背景的影响，是进行植被生物量和盖度定量反演的有力工具；建立了荒漠化监测主要评价因子的定量反演模型，并分析了模型的适用性。