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1. 发明授权

US07680337B2 Process for finding endmembers in a data set 有权
标题翻译：在数据集中查找终端成员的过程
公开(公告)号：US07680337B2
公开(公告)日：2010-03-16
申请号：US11359681
申请日：2006-02-22
申请人： John Gruninger , Steven Adler-Golden
发明人： John Gruninger , Steven Adler-Golden
IPC分类号： G06K9/46 , G06K9/62 , G01J5/02
CPC分类号： G06K9/0063
摘要： The invention provides a method for identifying one or more materials in a scene by determining a set of spectral vectors, called endmembers, from a data set comprised of spectra from the image data, and matching the set of endmembers to predefined library materials. The image data of the scene is captured with a sensor, and comprises a plurality of spectra. The method applies an iterative mathematical criterion, termed residual minimization, to find the endmembers. The first endmember may be selected based on the largest mean square value or the largest mean magnitude value. Subsequent endmembers are determined by calculating weighting factors, such that the weighting factors are non-negative and the calculated vector differences, or residuals, generate the smallest error metric. The error metric is dependent upon the vector difference between two spectra in the image data set, and may be the mean squared vector difference between two spectra.
摘要翻译：本发明提供了一种用于通过从包括来自图像数据的光谱的数据集合中确定一组称为端组件的频谱矢量来识别场景中的一种或多种材料的方法，以及将该组端组件与预定义的库资料进行匹配。用传感器捕获场景的图像数据，并且包括多个光谱。该方法应用迭代数学标准，称为残余最小化，以找到最终成员。可以基于最大均方值或最大平均幅值来选择第一终端成员。随后的终端成员通过计算加权因子来确定，使得加权因子是非负的，并且所计算的向量差或残差产生最小误差度量。误差度量取决于图像数据集中的两个光谱之间的向量差，并且可以是两个光谱之间的均方差矢量差。

2. 发明申请

US20060188161A1 Process for finding endmembers in a data set 有权
标题翻译：在数据集中查找终端成员的过程
公开(公告)号：US20060188161A1
公开(公告)日：2006-08-24
申请号：US11359681
申请日：2006-02-22
申请人： John Gruninger , Steven Adler-Golden
发明人： John Gruninger , Steven Adler-Golden
IPC分类号： G06K9/46
CPC分类号： G06K9/0063
摘要： A method of representing spectral data, such as hyperspectral imaging data (HSI) and multispectral imaging data (MSI), as a set of simplex models. The method finds end-images or end-spectra in the data (termed “endmembers”) as extreme points, and simultaneously determines the abundance of the endmembers.
摘要翻译：将诸如高光谱成像数据（HSI）和多光谱成像数据（MSI）的光谱数据表示为一组单纯形模型的方法。该方法将数据（称为“最终成员”）中的终端图像或最终光谱作为极值点，同时确定最终成员的丰度。

3. 发明授权

US06640199B1 System and method for optically determining properties of hot fluids from the spectral structure of emitted radiation 有权
标题翻译：用于从发射辐射的光谱结构光学确定热流体的性质的系统和方法
公开(公告)号：US06640199B1
公开(公告)日：2003-10-28
申请号：US09999807
申请日：2001-10-24
申请人： Neil Goldstein , John Gruninger , Fritz Bien , Jamine Lee
发明人： Neil Goldstein , John Gruninger , Fritz Bien , Jamine Lee
IPC分类号： G01K1130
CPC分类号： G01N21/71 , G01K11/30
摘要： A system and method for remotely determining at least one of the temperature of, and the relative concentrations of species making up, a hot fluid, based on the spectral structure of radiation emitted from the fluid. Thermal radiation over a field of view including the hot fluid is collected. At least a portion of the emission spectrum from the collected radiation is resolved. The resolved emission spectrum is resolved into spectra that are characteristic of specific emitting species and emitter temperatures. The temperature of, and the relative concentrations of species making up, the hot fluid, are determined from the relative amounts of at least two resolved spectra.
摘要翻译：基于从流体发射的辐射的光谱结构，远程确定构成热流体的物质的温度和相对浓度中的至少一个的系统和方法。收集包括热流体在内的视野内的热辐射。来自收集的辐射的至少一部分发射光谱被解析。分辨的发射光谱被解析为特定发射物质和发射体温度特征的光谱。根据至少两个分辨光谱的相对量来确定构成热物质的物质的温度和相对浓度。

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