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1. SE2150075 - A method and software product for providing a geometric abundance index of a target feature for spectral data

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Office
Sweden
Application Number 2150075
Application Date 25.01.2021
Publication Number 2150075
Publication Date 26.07.2022
Grant Number 545559
Grant Date
Publication Kind A1
IPC
G01N 21/31
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01N 21/25
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
G01N 33/24
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
24Earth materials
CPC
G06V 20/13
G06V 20/188
G06V 10/7715
G01N 21/25
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
G01N 21/31
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01N 33/24
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
24Earth materials
Applicants XSPECTRE AB
Inventors GUMBRICHT THOMAS
Priority Data 2150075 25.01.2021 SE
Title
(EN) A method and software product for providing a geometric abundance index of a target feature for spectral data
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Abstract
(EN) The present disclosure relates to a method for providing a geometric abundance index of a target feature for spectral data and other multiband electromagnetic signals. The method (300) comprises obtaining (310) target feature spectra (110) indicative of the target feature; obtaining (320) at least one spectral endmember (103,104); determining (330) a transformation matrix (420) arranged to transform spectral data (410) to a transformed feature space (100), and transforming said target feature spectra (110) and said at least one spectral endmember (103,104) utilizing said determined transformation matrix (420); defining (340) a target feature reference line (111) in the transformed feature space (100) based on the transformed target feature spectra (110); determining (350) a coverage index (241) and a similarity index (242) in a geometric model domain based on the target feature reference line (111), wherein the coverage index (241) and the similarity index (242) are trigonometrically defined to be orthogonally oriented at all local points in the geometric model domain; and determining (360) a geometric abundance index (243) indicative of the amount of target feature based on the coverage index (241) and the similarity index (242).
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