2) atmospheric correction
大气校正
1.
Application of five atmospheric correction models for Landsat TM data in vegetation remote sensing.;
五种TM影像大气校正模型在植被遥感中的应用
2.
Comparison of different atmospheric correction models in their effects on Landsat TM estimation of forest leaf area index;
不同大气校正方法对森林叶面积指数遥感估算影响的比较
3.
Review on the atmospheric correction of ocean color remote sensing;
海洋水色遥感大气校正算法研究进展
3) atmosphere correction
大气校正
1.
The atmosphere correction of multi angle remote sensing should consider the atmosphere surface coupled system and iterative inversion to calculate the coupled factor.
本文利用连续数天的NOAA卫星数据 ,采用Rahman地表二向反射模型和基于地面 BRDF 反射率的大气校正方法反复迭代提取出多个角度大气校正后的图像 ,并对结果进行了分析。
4) correction model
校正模型
1.
The useful near-infrared spectrum information was picked up by using genetic algorithms,and the near-infrared quantitative correction model was established by partial least squares(PLS) method.
以两组棉制品为研究对象,利用遗传算法提取有效近红外光谱信息,采用偏最小二乘法(partial least squares,简称PLS)建立了棉制品中含棉量的近红外定量的校正模型,讨论了遗传算法提取有用信息的具体应用方法。
2.
This paper relates to a correction model based on the computation according to position and height of each building as well as imaging parameters of sensors,which has been applied to an area in Shanghai for rectifying the green cover rate and green belt areas in a remote sensing research.
在分析城市绿化遥感中常用遥感数据成像特点的基础上,推导出投影误差造成的遮蔽面积公式,建立遥感遮蔽校正模型。
3.
In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation,a correction model of pressure sensor is presented based on Support Vector Machine.
针对压力传感器输出特性受温度变化和电压波动影响的问题,提出了应用支持向量机对压力传感器输出特性进行非线性补偿的校正模型。
5) Calibration model
校正模型
1.
The spectrum data sample characteristic choice,the data pretreatment,and the SVM Calibration model parameter optimization and mixture gas spectral analysis structure based on level were summarized and prop.
提出了光谱数据样本特征选择、数据预处理、SVM校正模型参量优化及层次式混合气体光谱分析结构等关键技术。
2.
The influence of calibration constant K,spectrum region selection and spectrum prepro- cessing on the veracity of a calibration model when establishing a model for rapidly determining aroma composition in naphtha by near-infrared spectroscopy are analyzed.
在采用近红外光谱建立石脑油芳烃含量校正模型的过程中,分析讨论了校正系数K值、光谱区域选取及光谱预处理方法对校正模型准确性的影响。
3.
By using type ZX440 near infrared petroleum analyzer,the calibration model of total sulfur content of jet fuels was established.
采用ZX440型近红外多组分油料分析仪建立了喷气燃料总硫含量的校正模型,对校正模型的准确性进行了验证,实际分析结果表明,近红外光谱分析可以实现对喷气燃料总硫含量的快速、准确测定。
补充资料：校正模型
分子式：
CAS号：
性质：为校正所建立的数学模型，如分析测试中常用的回归模型，通过最小二乘法估计模型中的待估参数，建立响应值与影响响应值的各因素之间的函数关系，再根据模型对响应值进行预测，对影响响应值的各因素进行控制。
CAS号：
性质：为校正所建立的数学模型，如分析测试中常用的回归模型，通过最小二乘法估计模型中的待估参数，建立响应值与影响响应值的各因素之间的函数关系，再根据模型对响应值进行预测，对影响响应值的各因素进行控制。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条