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    METHOD FOR CLASSIFYING A PIXEL TO GROUPS ACCORDING TO SPECTRUM OF PIXEL BY USE OF A PLURALITY OF WIDE BAND FILTERS AND HARDWARE THEREFOR
    1.
    发明专利
    METHOD FOR CLASSIFYING A PIXEL TO GROUPS ACCORDING TO SPECTRUM OF PIXEL BY USE OF A PLURALITY OF WIDE BAND FILTERS AND HARDWARE THEREFOR 失效

    公开(公告)号：JPH11166893A

    公开(公告)日：1999-06-22

    申请号：JP27927698

    申请日：1998-08-25

    Applicant: APPLIED SPECTRAL IMAGING LTD

    Inventor： KATZIR NIR ,  WINE DAVID ,  GARINI YUVAL ,  CABIB DARIO

    IPC: G01N21/64 ,  G01N15/14 ,  G01N21/78 ,  G01N33/533 ,  G01N33/566 ,  G01N33/58 ,  G02B21/06

    Abstract: PROBLEM TO BE SOLVED: To classify each pixel to groups by recording the luminance passed through a wide band emission filter of each pixel to show each pixel by a vector of the degree equal to the number of emission filters, and evaluating the presence of a plurality of fluorogens of each pixel. SOLUTION: A colored chromosome 104 is placed under the objective lens 101 of a device 100 and above the support plate 106 thereof, and a light 112 is emitted from a light source 110. A wide band existing filter 114 corrects the emission of the light 112 to a specified wavelength suitable for excitation, and a wide band emission filter 116 corrects the emission of the chromosome 104 to a specified wavelength. A control device 120 selects this filterpair, excites the fluorogen of each pixel, and repeats this procedure in all filter pairs. The emission luminance after passing the emission filter 116 is recorded by a luminance recording device 122, and each pixel is shown by a vector of the degree equal to the number of a plurality of filter pairs. An arithmetic device 124 comprises an algorithm for evaluating each presence of the fluorogen of each pixel, whereby each pixel is classified to groups.

    METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR
    3.
    发明申请
    METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR 审中-公开
    通过装饰统计分析及其硬件进行远程感测分析的方法

    公开(公告)号：WO9901843A9

    公开(公告)日：1999-04-15

    申请号：PCT/US9813524

    申请日：1998-06-29

    Applicant: APPLIED SPECTRAL IMAGING LTD ,  FRIEDMAN MARK M ,  CABIB DARIO

    Inventor： CABIB DARIO

    IPC: G01J3/28 ,  C12Q1/68 ,  G01J3/02 ,  G01J3/12 ,  G01J3/26 ,  G01J3/44 ,  G01J3/453 ,  G01N21/64 ,  G01N33/50 ,  G01N33/569 ,  G01N33/58 ,  G06K9/00 ,  G06K9/76 ,  G06T1/00 ,  G06K9/62

    CPC classification number: G01J3/12 ,  G01J3/02 ,  G01J3/1256 ,  G01J3/26 ,  G01J3/2823 ,  G01J3/4406 ,  G01J3/453 ,  G01J2003/2866 ,  G01N21/6428 ,  G01N21/6458 ,  G01N33/5005 ,  G01N33/56966 ,  G01N33/582 ,  G06K9/00127 ,  G06K9/00201 ,  G06K9/0063 ,  G06K9/76

    Abstract: A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (iv) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.

    Abstract translation: 一种用于远程场景分类的方法，包括以下步骤：（a）通过（i）通过用于获得一组预分类参考场景的常规分类技术对一组参考场景进行分类，准备用于远程场景分类的参考模板; （ii）使用第一光谱成像仪来测量预分类参考场景的光谱立方体; （iii）采用主成分分析来提取表征参考场景的去相关光谱数据的光谱立方体; 和（iv）使用至少一部分去相关的光谱数据来准备用于远程场景分类的参考模板; （b）使用第二光谱成像仪来测量分析的远程场景的光谱立方体，使得获得远程场景中每个像素的光谱; （c）采用解相关统计方法来提取表征像素的去相关光谱数据; 和（d）将从远程场景的像素提取的去相关光谱数据的至少一部分与参考模板进行比较。

    7.
    发明专利
    未知

    公开(公告)号：DE69813248D1

    公开(公告)日：2003-05-15

    申请号：DE69813248

    申请日：1998-06-29

    Applicant: APPLIED SPECTRAL IMAGING LTD

    Inventor： CABIB DARIO

    IPC: G01J3/28 ,  C12Q1/68 ,  G01J3/02 ,  G01J3/12 ,  G01J3/26 ,  G01J3/44 ,  G01J3/453 ,  G01N21/64 ,  G01N33/50 ,  G01N33/569 ,  G01N33/58 ,  G06K9/00 ,  G06K9/76 ,  G06T1/00 ,  G06K9/62 ,  G06T5/00

    Abstract: A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (vi) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.

    8.
    发明专利
    未知

    公开(公告)号：DE69809161T2

    公开(公告)日：2003-03-20

    申请号：DE69809161

    申请日：1998-08-24

    Applicant: APPLIED SPECTRAL IMAGING LTD

    Inventor： KATZIR NIR ,  GARINI YUVAL ,  WINE DAVID ,  CABIB DARIO

    IPC: G01N21/64 ,  G01N15/14 ,  G01N21/78 ,  G01N33/533 ,  G01N33/566 ,  G01N33/58 ,  G02B21/06 ,  G01J3/28

    Abstract: Classification of pixels into groups of pixels according to their association with a single fluorophore or a combination of fluorophores, comprises: (a) providing a number of wide-band emission filters; (b) for each of the pixels, recording emitted light intensity as retrieved after passing through each one of the emission filters, such that each of the pixels is representable by a vector of a number of dimensions equal to the number of wide-band emission filters; and (c) using an algorithm for evaluating the presence of each of the fluorophores associated with each of the pixels, thus classifying each of the pixels into a group of pixels according to its association with the fluorophores. Each fluorophore has a characterising emission spectrum and a specifying emission peak.

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