ZA202207737B - A hyperspectral image band selection method and system based on nearest neighbor subspace division - Google Patents

A hyperspectral image band selection method and system based on nearest neighbor subspace division

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Publication number
ZA202207737B
ZA202207737B ZA2022/07737A ZA202207737A ZA202207737B ZA 202207737 B ZA202207737 B ZA 202207737B ZA 2022/07737 A ZA2022/07737 A ZA 2022/07737A ZA 202207737 A ZA202207737 A ZA 202207737A ZA 202207737 B ZA202207737 B ZA 202207737B
Authority
ZA
South Africa
Prior art keywords
system based
selection method
nearest neighbor
hyperspectral image
band selection
Prior art date
Application number
ZA2022/07737A
Inventor
Xinzhong Zhu
Huiying Xu
Jun Wang
Chang Tang
Jianmin Zhao
Original Assignee
Univ Zhejiang Normal
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Zhejiang Normal filed Critical Univ Zhejiang Normal
Publication of ZA202207737B publication Critical patent/ZA202207737B/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/194—Terrestrial scenes using hyperspectral data, i.e. more or other wavelengths than RGB
    • 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
    • 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
    • G01N21/01—Arrangements or apparatus for facilitating the optical investigation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147—Distances to closest patterns, e.g. nearest neighbour classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Chemical & Material Sciences (AREA)
  • Biochemistry (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Image Analysis (AREA)
ZA2022/07737A 2021-02-07 2022-07-12 A hyperspectral image band selection method and system based on nearest neighbor subspace division ZA202207737B (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110174636.8A CN113075129B (en) 2021-02-07 2021-02-07 Hyperspectral image band selection method and system based on neighbor subspace division

Publications (1)

Publication Number Publication Date
ZA202207737B true ZA202207737B (en) 2022-07-27

Family

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Family Applications (1)

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ZA2022/07737A ZA202207737B (en) 2021-02-07 2022-07-12 A hyperspectral image band selection method and system based on nearest neighbor subspace division

Country Status (4)

Country Link
CN (1) CN113075129B (en)
LU (1) LU502854B1 (en)
WO (1) WO2022166363A1 (en)
ZA (1) ZA202207737B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113075129B (en) * 2021-02-07 2023-03-31 浙江师范大学 Hyperspectral image band selection method and system based on neighbor subspace division
CN113486876A (en) * 2021-09-08 2021-10-08 中国地质大学（武汉） Hyperspectral image band selection method, device and system
CN117435940B (en) * 2023-12-20 2024-03-05 龙建路桥股份有限公司 Spectrum detection method for winter concrete curing process

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101131734A (en) * 2007-06-25 2008-02-27 北京航空航天大学 Automatic waveband selection method for high optical spectrum remote sensing image
KR100963797B1 (en) * 2008-02-27 2010-06-17 아주대학교산학협력단 Method for realtime target detection based on reduced complexity hyperspectral processing
CN103065293A (en) * 2012-12-31 2013-04-24 中国科学院东北地理与农业生态研究所 Correlation weighted remote-sensing image fusion method and fusion effect evaluation method thereof
CN103886334A (en) * 2014-04-08 2014-06-25 河海大学 Multi-index fused hyperspectral remote sensing image dimensionality reduction method
CN104122210B (en) * 2014-07-02 2017-01-25 中国林业科学研究院林业研究所 Hyperspectral waveband extraction method based on optimum index factor-correlation coefficient method
CN104751179B (en) * 2015-04-01 2018-02-06 河海大学 A kind of multiple target target in hyperspectral remotely sensed image band selection method based on game theory
CN107124612B (en) * 2017-04-26 2019-06-14 东北大学 Method for compressing high spectrum image based on distributed compression perception
CN108154094B (en) * 2017-12-14 2020-04-24 浙江工业大学 Hyperspectral image unsupervised waveband selection method based on subinterval division
WO2019183136A1 (en) * 2018-03-20 2019-09-26 SafetySpect, Inc. Apparatus and method for multimode analytical sensing of items such as food
CN110751142B (en) * 2019-09-25 2022-07-26 河海大学 Improved hyperspectral remote sensing image band selection method
CN113075129B (en) * 2021-02-07 2023-03-31 浙江师范大学 Hyperspectral image band selection method and system based on neighbor subspace division

Also Published As

Publication number Publication date
LU502854B1 (en) 2023-01-30
WO2022166363A1 (en) 2022-08-11
CN113075129A (en) 2021-07-06
CN113075129B (en) 2023-03-31

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