METHOD FOR REMOTE SENSING ANALYSIS BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFOR

    公开(公告)号:IL133507D0

    公开(公告)日:2001-04-30

    申请号:IL13350798

    申请日:1998-06-29

    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.

    Method and apparatus for spectral analysis

    公开(公告)号:GR3033470T3

    公开(公告)日:2000-09-29

    申请号:GR20000401166

    申请日:2000-05-22

    Abstract: A method of analyzing an optical image of a scene to determine the spectral intensity of each pixel of the scene, which includes collecting incident light from the scene; (b) passing the light through an interferometer which outputs modulated light corresponding to a predetermined set of linear combinations of the spectral intensity of the light emitted from each pixel; focusing the light outputted from the interferometer on a detector array; and processing the output of the detector array to determine the spectral intensity of each pixel thereof. If the interferometer is of the moving type scanning in one dimension is required where the detector array is one dimensional, and no scanning when the detector array is two-dimensional. If the interferometer is of the non-moving type scanning is required in one dimension when the detector array is two-dimensional, and in two dimensions when the detector array is one-dimensional.

    Method for chromosome classification

    公开(公告)号:IL127255D0

    公开(公告)日:1999-09-22

    申请号:IL12725598

    申请日:1998-03-27

    Abstract: A method for finding L internal reference vectors for classification of L chromosomes or portions of chromosomes of a cell, the L chromosomes or portions of chromosomes being painted with K different fluorophores or combinations thereof, wherein K basic chromosomes or portions of chromosomes of the L chromosomes or portions of chromosomes are each painted with only one of the K different fluorophores, whereas the other L-K of the L chromosomes or portions of chromosomes are each painted with a different combination of the K different fluorophores, the method comprising the steps of (a) using a multi-band collection device for measuring a first vector for each pixel of each of the L chromosomes or portions of chromosomes; (b) identifying pixels belonging to each of the K basic chromosomes or portions of chromosomes and defining the pixels as basic pixels, so as to obtain K basic classes of basic pixels; (c) using at least one basic pixel from each of the K basic classes for obtaining K basic vectors, the K basic vectors being K internal reference vectors; (d) using the K basic vectors for identifying pixels belonging to the other L-K chromosomes or portions of chromosomes; and (e) using the pixels belonging to the other L-K chromosomes or portions of chromosomes for calculating the other L-K internal reference vectors, thereby finding all of the L internal reference vectors. A method for classification of L chromosomes or portions of chromosomes of a cell similarly painted using the above method for finding L internal reference vectors, and using the L reference vectors for classification of each of the pixels into one of L classification classes. And, images presenting color chromosomes.

    Method and apparatus for spectral analysis of images

    公开(公告)号:IL97328A

    公开(公告)日:1996-07-23

    申请号:IL9732891

    申请日:1991-02-22

    Abstract: A method and apparatus for analyzing an optical image of a scene to determine the spectral intensity of each pixel thereof, by: collecting incident light from the scene (20); scanning the incident light (22); passing the scanned light through an interferometer (24) which outputs modulated light corresponding to a predetermined set of linear combinations of the spectral intensity of the light emitted from each pixel; focussing the light outputted from the interferometer on a detector array (26), and processing the output of the detector array (28) to determine the spectral intensity of each pixel thereof.

    60.
    发明专利
    未知

    公开(公告)号:DE69809161D1

    公开(公告)日:2002-12-12

    申请号:DE69809161

    申请日:1998-08-24

    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.

Patent Agency Ranking