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    ESTIMATING SOIL PROPERTIES WITHIN A FIELD USING HYPERSPECTRAL REMOTE SENSING
    272.
    发明申请
    ESTIMATING SOIL PROPERTIES WITHIN A FIELD USING HYPERSPECTRAL REMOTE SENSING 审中-公开

    公开(公告)号：US20170090068A1

    公开(公告)日：2017-03-30

    申请号：US14866160

    申请日：2015-09-25

    Applicant: The Climate Corporation

    Inventor： Haitao Xiang ,  Xianyuan Yang ,  Nick Koshnick ,  Nick Cisek

    IPC: G01V99/00 ,  G01N33/24

    CPC classification number: G01V99/005 ,  A01B79/005 ,  G01N21/359 ,  G01N33/0098 ,  G01N33/24 ,  G01N2021/1793 ,  G01N2021/3155 ,  G01N2201/0616 ,  G01N2201/129 ,  G01W1/10 ,  G06Q10/04

    Abstract: A method for estimating soil properties within a field using hyperspectral remotely sensed data is provided. In an embodiment, estimating soil properties may be accomplished using a server computer system that receives, via a network, soil spectrum data records that are used to predict soil properties for a specific geo-location. Within the server computer system a soil preprocessing module receives one or more soil spectrum data records that represent a mean soil spectrum of a specific geo-location of a specified area of land. The soil preprocessing module then removes interference signals from the soil spectrum data, creating a set of one or more spectral bands. By removing interference signals, the spectral bands are not erroneously skewed from effects such as baseline drift, particle deviation, and surface heterogeneity. A soil regression module inputs the one or more soil spectral bands and predicts soil property datasets. The soil property datasets include specific soil properties relevant to determining fertility of the soil or soil property levels that may influence soil management at a specific geo-location. The soil regression module then takes the multiple soil property datasets and selects multiple specific soil property datasets that best represent the existing soil properties. Included in the soil property datasets are the multiple soil properties predicted and the spectral band data used to determine the specific soil properties. The soil regression module sends this predicted data to a soil model database.

    Spectral imaging system for remote and noninvasive detection of target substances using spectral filter arrays and image capture arrays
    276.
    发明授权
    Spectral imaging system for remote and noninvasive detection of target substances using spectral filter arrays and image capture arrays 有权
    光谱成像系统用于使用光谱滤波器阵列和图像捕获阵列远程和无创检测目标物质

    公开(公告)号：US09551616B2

    公开(公告)日：2017-01-24

    申请号：US14742074

    申请日：2015-06-17

    Applicant: InnoPix, Inc.

    Inventor： Gary L. McQuilkin ,  Gregory L. Engelke

    IPC: G01N21/25 ,  G01J3/28 ,  G01J3/36 ,  G01J3/02 ,  G01N21/31 ,  G01J3/12 ,  G02B5/20 ,  G01N21/17

    CPC classification number: G01J3/12 ,  A61B5/0075 ,  A61B5/14507 ,  A61B5/14542 ,  A61B5/444 ,  A61B2576/00 ,  G01J3/0205 ,  G01J3/0272 ,  G01J3/0297 ,  G01J3/2803 ,  G01J3/2823 ,  G01J3/36 ,  G01J2003/1213 ,  G01J2003/123 ,  G01J2003/1239 ,  G01J2003/2826 ,  G01N21/255 ,  G01N21/31 ,  G01N2021/1793 ,  G01N2021/3137 ,  G01N2201/129 ,  G02B5/201

    Abstract: An approach to noninvasively and remotely detect the presence, location, and/or quantity of a target substance in a scene via a spectral imaging system comprising a spectral filter array and image capture array. For a chosen target substance, a spectral filter array is provided that is sensitive to selected wavelengths characterizing the electromagnetic spectrum of the target substance. Elements of the image capture array are optically aligned with elements of the spectral filter array to simultaneously capture spectrally filtered images. These filtered images identify the spectrum of the target substance. Program instructions analyze the acquired images to compute information about the target substance throughout the scene. A color-coded output image may be displayed on a smartphone or computing device to indicate spatial and quantitative information about the detected target substance. The system desirably includes a library of interchangeable spectral filter arrays, each sensitive to one or more target substances.

    Abstract translation: 通过包括光谱滤波器阵列和图像捕获阵列的光谱成像系统非侵入性地远程地检测场景中目标物质的存在，位置和/或数量的方法。 对于所选择的目标物质，提供对表征目标物质的电磁光谱的选定波长敏感的光谱滤波器阵列。 图像捕获阵列的元件与光谱滤波器阵列的元件光学对准，以同时捕获经过频谱滤波的图像。 这些过滤图像识别目标物质的光谱。 程序指令分析所获取的图像以在整个场景中计算关于目标物质的信息。 颜色编码的输出图像可以显示在智能电话或计算设备上以指示关于检测到的目标物质的空间和定量信息。 该系统期望地包括可互换光谱滤光器阵列的库，每个对一种或多种目标物质敏感。

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