CH717361A8 - Method and system for extracting angle anomaly information from remote sensing data. - Google Patents

Method and system for extracting angle anomaly information from remote sensing data. Download PDF

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Publication number
CH717361A8
CH717361A8 CH00819/20A CH8192020A CH717361A8 CH 717361 A8 CH717361 A8 CH 717361A8 CH 00819/20 A CH00819/20 A CH 00819/20A CH 8192020 A CH8192020 A CH 8192020A CH 717361 A8 CH717361 A8 CH 717361A8
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Switzerland
Prior art keywords
remote sensing
sensing data
angle
anomaly information
data set
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Application number
CH00819/20A
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German (de)
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CH717361A2 (en
Inventor
Yao Fojun
Geng Xinxia
Yang Jianmin
Wu Shenghua
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Inst Of Mineral Resources Chinese Academy Of Geological Sciences
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Application filed by Inst Of Mineral Resources Chinese Academy Of Geological Sciences filed Critical Inst Of Mineral Resources Chinese Academy Of Geological Sciences
Publication of CH717361A2 publication Critical patent/CH717361A2/en
Publication of CH717361A8 publication Critical patent/CH717361A8/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28—Investigating the spectrum
    • G01J3/2823—Imaging spectrometer
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/08—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V8/00—Prospecting or detecting by optical means
    • G01V8/02—Prospecting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/13—Satellite images
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28—Investigating the spectrum
    • G01J3/2823—Imaging spectrometer
    • G01J2003/2826—Multispectral imaging, e.g. filter imaging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/1793—Remote sensing
    • G01N2021/1797—Remote sensing in landscape, e.g. crops
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N2021/3129—Determining multicomponents by multiwavelength light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Remote Sensing (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Biochemistry (AREA)
  • Astronomy & Astrophysics (AREA)
  • Analytical Chemistry (AREA)
  • Multimedia (AREA)
  • Immunology (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Geology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Electromagnetism (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

Die vorliegende Erfindung offenbart ein Verfahren und ein System zur Gewinnung von Informationen über Winkelanomalien aus Fernerkundungsdaten und bezieht sich auf den Bereich der Mineralexploration Das Verfahren umfasst hauptsächlich Speichern der erhaltenen Fernerkundungsdaten in einem Arbeitsbereich bandbreitenweise, um einen Fernerkundungsdatensatz zu bilden (102), Durchführen einer Winkelumwandlung der Daten in dem Fernerkundungsdatensatz, um einen spektralen Winkeldatensatz zu erzeugen (103), und Extrahieren von Winkelanomalieinformationen aus den Fernerkundungsdaten aus dem spektralen Winkeldatensatz unter Verwendung einer orthogonalen Zerlegungstechnologie (104) Die vorliegende Erfindung kombiniert spektrale Merkmale und spektrale Unterschiede und extrahiert Winkelanomalie-Informationen, wodurch bessere Ergebnisse erzielt werden als durch die Extraktion gewöhnlicher Anomalie-Informationen aus FernerkundungsdatenThe present invention discloses a method and system for obtaining information about angular anomalies from remote sensing data and relates to the field of mineral exploration. The method mainly comprises storing the obtained remote sensing data in a workspace band by band to form a remote sensing data set (102), performing an angle transformation the data in the remote sensing data set to generate a spectral angle data set (103), and extracting angle anomaly information from the remote sensing data from the spectral angle data set using an orthogonal decomposition technology (104) The present invention combines spectral features and spectral differences and extracts angle anomaly information, yielding better results than extracting ordinary anomaly information from remote sensing data

CH00819/20A 2020-04-24 2020-07-02 Method and system for extracting angle anomaly information from remote sensing data. CH717361A8 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010331000.5A CN111552004B (en) 2020-04-24 2020-04-24 Remote sensing data angle anomaly information extraction method and system

Publications (2)

Publication Number Publication Date
CH717361A2 CH717361A2 (en) 2021-10-29
CH717361A8 true CH717361A8 (en) 2021-12-30

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CH00819/20A CH717361A8 (en) 2020-04-24 2020-07-02 Method and system for extracting angle anomaly information from remote sensing data.

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CN (1) CN111552004B (en)
CH (1) CH717361A8 (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112288016B (en) * 2020-10-30 2023-10-31 上海淇玥信息技术有限公司 Channel anti-cheating method and device based on principal component analysis algorithm and electronic equipment

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102313526A (en) * 2010-07-07 2012-01-11 中国科学院地理科学与资源研究所 Method for obtaining leaf area index based on quantitative fusion and inversion of multi-angle and multi-spectral remote sensing data
CN103926203B (en) * 2014-04-29 2016-04-20 中国科学院遥感与数字地球研究所 A kind of for the probabilistic Spectral Angle Mapping method of object spectrum
CN104851091A (en) * 2015-04-28 2015-08-19 中山大学 Remote sensing image fusion method based on convolution enhancement and HCS transform
CN107169946B (en) * 2017-04-26 2020-04-03 西北工业大学 Image fusion method based on nonnegative sparse matrix and hypersphere color transformation
CN109145881B (en) * 2018-10-09 2021-06-22 中国地质科学院矿产资源研究所 Remote sensing image paste salt information extraction method and device
CN109961087B (en) * 2019-02-01 2021-10-08 中国地质科学院矿产资源研究所 Abnormal remote sensing information extraction method and device based on spatial data set analysis

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Publication number Publication date
CN111552004B (en) 2023-04-18
CN111552004A (en) 2020-08-18
CH717361A2 (en) 2021-10-29

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