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    OPTICAL MEASURING APPARATUS AND OPTICAL MEASURING METHOD
    141.
    发明申请
    OPTICAL MEASURING APPARATUS AND OPTICAL MEASURING METHOD 审中-公开
    光学测量装置和光学测量方法

    公开(公告)号：US20150057977A1

    公开(公告)日：2015-02-26

    申请号：US14462798

    申请日：2014-08-19

    Applicant: YOKOGAWA ELECTRIC CORPORATION ,  YOKOGAWA METERS & INSTRUMENTS CORPORATION

    Inventor： Gentaro ISHIHARA

    IPC: G01J3/28

    CPC classification number: G01J3/28 ,  G01J3/0264

    Abstract: An optical measuring apparatus includes a measuring device configured to measure, by a shot unit, data in a predetermined wavelength range, a controller configured to analyze the measured data, a storage storing the measured data of a plurality of shots and the analysis results of the measured data, and a display configured to display the analysis results and waveform data based on the measured data on a single display screen.

    Abstract translation: 一种光学测量装置，包括测量装置，被配置为通过拍摄单元测量预定波长范围内的数据，被配置为分析测量数据的控制器，存储多个拍摄的测量数据的存储器以及 测量数据，以及配置为基于单个显示屏上的测量数据显示分析结果和波形数据的显示器。

    PORTABLE DEVICE FOR ANALYSING A PLURALITY OF WIDELY SPACED LASER BEAMS
    142.
    发明申请
    PORTABLE DEVICE FOR ANALYSING A PLURALITY OF WIDELY SPACED LASER BEAMS 审中-公开
    便携式设备，用于分析大量的宽空间激光器

    公开(公告)号：US20150042982A1

    公开(公告)日：2015-02-12

    申请号：US14385476

    申请日：2012-03-16

    Applicant: Jean Fortin ,  Grégoire Tremblay

    Inventor： Jean Fortin ,  Grégoire Tremblay

    IPC: G01M11/02 ,  G01J3/28 ,  G01S3/789 ,  G01J9/02

    CPC classification number: G01M11/0207 ,  F41A31/00 ,  F41H13/005 ,  F41H13/0056 ,  G01J1/0223 ,  G01J1/0271 ,  G01J1/0407 ,  G01J1/0411 ,  G01J1/044 ,  G01J1/0448 ,  G01J1/0477 ,  G01J1/4257 ,  G01J3/28 ,  G01J9/02 ,  G01J2001/4247 ,  G01S3/789 ,  G02B27/106 ,  G02B27/126

    Abstract: A system and method for performing field measurement and testing of a plurality of widely spaced laser beams used in visual warning technology (VWT). VWT uses a combination of widely spaced laser beams, to warn civilians from approaching too close to military security areas. The widely spaced laser beams are displaced using rhomboidal prisms. Each rhomboidal prism receives a corresponding laser beam and displaces it toward a collecting lens. The lens focuses the displaced beams received thereon onto an imaging sensor for testing. Beam shutters may be used for selectively blocking one or more beams in order to test the beams separately and in different combinations.

    Abstract translation: 用于在视觉警告技术（VWT）中使用的多个宽间距激光束进行现场测量和测试的系统和方法。 VWT使用广泛距离的激光束的组合，以警告平民接近与军事安全区域的距离。 宽间距的激光束使用菱形棱镜移位。 每个菱形棱镜接收相应的激光束并将其移向收集透镜。 透镜将其上接收的移动光束聚焦到成像传感器上进行测试。 光束百叶窗可以用于选择性地阻挡一个或多个光束，以分别和以不同的组合测试光束。

    Method and device for measuring electromagnetic wave
    143.
    发明授权
    Method and device for measuring electromagnetic wave 有权
    测量电磁波的方法和装置

    公开(公告)号：US08954286B2

    公开(公告)日：2015-02-10

    申请号：US13954116

    申请日：2013-07-30

    Applicant: Canon Kabushiki Kaisha

    Inventor： Michinori Shioda

    IPC: G01R23/16 ,  G01J5/10 ,  G01J3/28 ,  G06K9/00 ,  G01N21/3581 ,  G06K9/62

    CPC classification number: G01J5/10 ,  G01J3/28 ,  G01N21/3581 ,  G06K9/00516 ,  G06K9/6228

    Abstract: A waveform acquiring unit acquires a time waveform of an electromagnetic wave. The time waveform is decomposed into wavelet expansion coefficients by wavelet transform. Influence levels of the respective wavelet expansion coefficients to a spectrum are calculated. The wavelet expansion coefficients are weighted based on at least the influence levels of the wavelet expansion coefficients to the spectrum. The weighted wavelet expansion coefficients are converted into time waveforms by inverse wavelet transform. Thus, the time waveforms that holds spectrum information needed for spectroscopic analysis and has a reduced noise is provided.

    Abstract translation: 波形获取单元获取电磁波的时间波形。 时间波形通过小波变换分解为小波展开系数。 计算各个小波展开系数对频谱的影响程度。 至少基于小波展宽系数对频谱的影响级别对小波展开系数进行加权。 加权小波展开系数通过逆小波变换转换为时间波形。 因此，提供保持光谱分析所需的频谱信息并具有降低的噪声的时间波形。

    APPARATUS AND METHODS OF SPECTRAL SEARCHING USING WAVELET TRANSFORM COEFFICIENTS
    144.
    发明申请
    APPARATUS AND METHODS OF SPECTRAL SEARCHING USING WAVELET TRANSFORM COEFFICIENTS 有权
    使用小波变换系数的光谱搜索的装置和方法

    公开(公告)号：US20140379278A1

    公开(公告)日：2014-12-25

    申请号：US13922459

    申请日：2013-06-20

    Applicant: Scott B. Tilden

    Inventor： Scott B. Tilden

    IPC: G01N21/25 ,  G01N23/00

    CPC classification number: G01N21/255 ,  G01J3/28 ,  G01N23/00 ,  G06F17/148

    Abstract: Apparatus and methods of spectral searching that employ wavelet coefficients as the basis for the searching. The disclosed apparatus and methods employ a wavelet lifting scheme to transform spectroscopic data corresponding to an unknown pure material/mixture to a vector of wavelet coefficients, compare the wavelet coefficient vector for the unknown pure material/mixture with a library of wavelet coefficient vectors for known pure materials/mixtures, and identify the closest match to the unknown pure material/mixture based on the comparison of wavelet coefficient vectors. Because the wavelet lifting scheme can generate the wavelet coefficient vectors for the unknown pure material/mixture as well as the known pure materials/mixtures to conform to a desired compression level, the disclosed apparatus and methods can perform spectral searching with increased speed and reduced memory requirements, thereby making the disclosed apparatus and methods amenable for use in hand-held instruments for on-site material identification.

    Abstract translation: 使用小波系数作为搜索基础的光谱搜索的装置和方法。 所公开的装置和方法采用小波提升方案将对应于未知纯物质/混合物的光谱数据转换为小波系数向量，将未知纯物质/混合物的小波系数向量与小波系数向量库进行比较，以便已知 纯材料/混合物，并且基于小波系数向量的比较来确定与未知纯物质/混合物最接近的匹配。 因为小波提升方案可以产生未知纯材料/混合物的小波系数向量以及已知的纯材料/混合物以符合期望的压缩级别，所公开的装置和方法可以以增加的速度和减少的存储器执行频谱搜索 要求，从而使所公开的装置和方法适用于手持式仪器用于现场材料识别。

    Automatic identification of volcanic ash plumes using measured spectral radiance over a plurality of field of views
    147.
    发明授权
    Automatic identification of volcanic ash plumes using measured spectral radiance over a plurality of field of views 有权
    在多个视场中使用测量的光谱辐射自动识别火山灰羽流

    公开(公告)号：US08917385B1

    公开(公告)日：2014-12-23

    申请号：US13633370

    申请日：2012-10-02

    Applicant: Exelis Inc.

    Inventor： Christopher E. Lietzke ,  Ronald J. Glumb

    IPC: G01J5/60

    CPC classification number: G01J5/60 ,  G01J3/28

    Abstract: Volcanic ash is identified within a field of regard (FOR) by obtaining spectral radiance data comprising brightness temperature values over a specified spectral range for each field of view (FOV) within the FOR, determining a baseline brightness temperature value over the specified spectral range that is identified as representing no volcanic ash, and assigning one or more FOVs having brightness temperature values that deviate from the baseline brightness temperature value by a predetermined amount with an indication of containing volcanic ash.

    Abstract translation: 通过获得包括在FOR内的每个视野（FOV）的指定光谱范围上的亮度温度值的光谱辐射度数据，在所考虑的领域（FOR）中识别火山灰，确定在指定光谱范围上的基线亮度温度值， 被识别为不表示火山灰，并且将具有偏离基准亮度温度值的亮度温度值的一个或多个FOV赋予预定量并具有包含火山灰的指示。

    Classification using multivariate optical computing
    149.
    发明授权
    Classification using multivariate optical computing 有权
    使用多变量光学计算进行分类

    公开(公告)号：US08902423B2

    公开(公告)日：2014-12-02

    申请号：US13683589

    申请日：2012-11-21

    Applicant: University of South Carolina

    Inventor： Michael L. Myrick ,  Timothy J. Shaw ,  Tammi L. Richardson ,  Laura S. Bruckman ,  Megan R. Pearl ,  Joseph A. Swanstrom

    IPC: G01J3/28 ,  G01J3/44 ,  G01N21/31 ,  G01N21/64

    CPC classification number: G01J3/4406 ,  G01J3/28 ,  G01N21/31 ,  G01N21/6486

    Abstract: Methods for in situ detection and classification of analyte within a fluid sample are provided. In one embodiment, the method can include: (a) continuously flowing the fluid sample through a multivariate optical computing device, wherein the multivariate optical computing device illuminates an area of the fluid sample as it flows through the multivariate optical computing device to elicit a continuous series of spectral responses; (b) continuously measuring the series of multivariate spectral responses as the fluid sample flows through the multivariate optical computing device; (c) detecting an analyte (e.g., phytoplankton) in the sample based on an multivariate spectral response of the plurality of spectral responses; and (d) classifying the analyte based on the multivariate spectral response generated by the analyte.

    Abstract translation: 提供了流体样品中分析物的原位检测和分类方法。 在一个实施例中，该方法可以包括：（a）使流体样本连续流动通过多变量光学计算设备，其中多变量光学计算设备在其流过多变量光学计算设备时照亮流体样本的区域以引出连续的 一系列光谱响应; （b）当流体样品流过多元光学计算装置时，连续地测量一系列多变量光谱响应; （c）基于多个光谱响应的多变量光谱响应来检测样品中的分析物（例如浮游植物）; 和（d）基于由分析物产生的多变量光谱响应对分析物进行分类。

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