搜索资源列表
HighResolutionImagingSpectrometer
- 说明了HR IS 相邻光谱通道图像数据具有高度的相关性, 提出了基于这种特 性和数据插值的畸变像元相关校正方法, 该方法分为两个步骤, 第一步, 利用图像相关性 对图像中的畸变像元进行检测, 目的在于减小图像数据的变化, 减少运算时间 第二步, 通 过曲面拟合方法, 对检测出的畸变像元强度进行校正。实验表明该校正方法, 具有很好的 效果, 并应用到了实际的HR IS 数据处理中。
HighResolutionImagingSpectrometer
- 说明了HR IS 相邻光谱通道图像数据具有高度的相关性, 提出了基于这种特 性和数据插值的畸变像元相关校正方法, 该方法分为两个步骤, 第一步, 利用图像相关性 对图像中的畸变像元进行检测, 目的在于减小图像数据的变化, 减少运算时间 第二步, 通 过曲面拟合方法, 对检测出的畸变像元强度进行校正。实验表明该校正方法, 具有很好的 效果, 并应用到了实际的HR IS 数据处理中。-HR IS shows adjacen
polyfit
- 该程序用来对多种物质混合物吸收光谱数据进行分析，拟合出光谱曲线并且得到其各个峰值位置所在。-The program is used for a variety of mixtures of substances absorption spectral data analysis, curve fitting, and by their spectral location of each peak.
123
- 一种拟合实验光谱的黑体方程的matlab程序-Fitting the experimental spectrum a blackbody equation matlab program
qstark
- 用于计算线型、对称陀螺和非对称陀螺分子的stark分裂，并可对所测光谱进行拟合- PROGRAM TO FIT THE STARK SHIFTS FOR A LINEAR/SYMMETRIC/ASYMMETRIC ROTOR WITH UP TO ONE QUADRUPOLAR NUCLEUS+ SPIN-ROTATION
infrared-spectroscopy-to-predict
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Supervised learning neural network regression- based on the gasoline octane number of the near-infrared spectroscopy to predict
Untitled3
- 基于有理B样条的视觉光谱光视效应的曲线拟合技术用MATLAB实现-MATLAB, based on the visual spectrum of light, as the effect of rational B-spline curve fitting techniques
nnrf
- 学习神经网络的回归拟合，举例：基于近红外光谱的汽油辛烷值预测-Learning neural network regression fit, for example: gasoline octane number prediction based on near-infrared spectroscopy
lorentzian-represent-heperspectral
- 洛伦兹函数用三参数来拟合高光谱曲线，可作为描述高光谱图的特征参数，非常好用-lorrentzian represent features of heperspectral
neural-network-fit
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Learning from regression neural network fit- based on near-infrared spectroscopy to predict gasoline octane
dl
- 有导师学习神经网络的回归拟合-基于近红外光谱的辛烷值预测-Learning regression neural network fit- based on near-infrared spectroscopy octane forecast
chapter25
- 有导师神经网络的回归拟合——基于红外光谱的汽车辛烷值检测-There tutor neural network regression- Car octane detection based on infrared spectroscopy
main
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Supervised learning neural network regression fit- based on Near Infrared Spectroscopy Gasoline Octane forecast
yansei_v37
- 抑制载波型差分相位调制，利用最小二乘法进行拟合多元非线性方程，毕设内容，高光谱图像基本处理。- Suppressed carrier type differential phase modulation, Multivariate least squares fitting method of nonlinear equations, Complete set content, basic hyperspectral image pro
simcapred
- SIMCA方法是建立在主成分分析基础上的一种有监督模式识别方法。该算法的基本思路是对训练集中每一类样本的光谱矩阵分别进行主成分分析，建立每一类的主成分分析数学模型，然后在此基础上对未知样本进行识别，即分别试探该未知样本与各类模型进行拟合，以确定其属于哪一类或不属于任何一类。-SIMCA method is based on principal component analysis of a supervised pattern reco
shenjingwangluo
- 基于有导师学习神经网络对近红外光谱的汽油辛烷值预测拟合-Based on supervised learning neural network on Near Infrared Spectroscopy Gasoline Octane forecast Fitting
jiusan
- 插值与拟合的matlab实现，毕设内容，高光谱图像基本处理，搭建OFDM通信系统的框架。- Interpolation and fitting matlab implementation, Complete set content, basic hyperspectral image processing, Build a fr a mework OFDM communication system.
nangning_v54
- 插值与拟合的matlab实现，毕设内容，高光谱图像基本处理，用于特征降维，特征融合，相关分析等。- Interpolation and fitting matlab implementation, Complete set content, basic hyperspectral image processing, For feature reduction, feature fusion, correlation analysis.
gaigan
- 利用最小二乘法进行拟合多元非线性方程，添加噪声处理，毕设内容，高光谱图像基本处理。- Multivariate least squares fitting method of nonlinear equations, Add noise processing, Complete set content, basic hyperspectral image processing.
基于matlab
- 可以用来拟合并平滑光谱曲线，并寻找光谱峰值，不适合初学者(It can be used to plot smooth spectral curves, and to find spectral peaks that are not suitable for beginners)