JP6636845B2 - フォービエイテッド圧縮投影を用いたハイパースペクトルデミキシング - Google Patents

フォービエイテッド圧縮投影を用いたハイパースペクトルデミキシング Download PDF

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JP6636845B2
JP6636845B2 JP2016080785A JP2016080785A JP6636845B2 JP 6636845 B2 JP6636845 B2 JP 6636845B2 JP 2016080785 A JP2016080785 A JP 2016080785A JP 2016080785 A JP2016080785 A JP 2016080785A JP 6636845 B2 JP6636845 B2 JP 6636845B2
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spectral
demixing
hierarchical
data
tree
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JP2016224031A5 (enExample
JP2016224031A (ja
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ユリ オウェッコ,
ユリ オウェッコ,
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Boeing Co
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J3/2823Imaging spectrometer
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/231Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/7625Hierarchical techniques, i.e. dividing or merging patterns to obtain a tree-like representation; Dendograms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J2003/283Investigating the spectrum computer-interfaced
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/58Extraction of image or video features relating to hyperspectral data

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
JP2016080785A 2015-04-22 2016-04-14 フォービエイテッド圧縮投影を用いたハイパースペクトルデミキシング Active JP6636845B2 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/693,401 2015-04-22
US14/693,401 US10094713B2 (en) 2015-04-22 2015-04-22 Hyperspectral demixing using foveated compressive projections

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JP2016224031A JP2016224031A (ja) 2016-12-28
JP2016224031A5 JP2016224031A5 (enExample) 2019-07-04
JP6636845B2 true JP6636845B2 (ja) 2020-01-29

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US (1) US10094713B2 (enExample)
EP (2) EP3089074B1 (enExample)
JP (1) JP6636845B2 (enExample)

Families Citing this family (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014532873A (ja) 2011-11-03 2014-12-08 ベリフード リミテッド エンドユーザ食品分析のための低費用分光分析システム
CN105593651B (zh) 2013-08-02 2019-06-07 威利食品有限公司 光谱测定系统和方法、光谱设备和系统
JP2017505901A (ja) 2014-01-03 2017-02-23 ベリフード, リミテッドVerifood, Ltd. 分光システム、方法、および用途
WO2016063284A2 (en) 2014-10-23 2016-04-28 Verifood, Ltd. Accessories for handheld spectrometer
WO2016125165A2 (en) 2015-02-05 2016-08-11 Verifood, Ltd. Spectrometry system with visible aiming beam
WO2016125164A2 (en) 2015-02-05 2016-08-11 Verifood, Ltd. Spectrometry system applications
WO2016162865A1 (en) 2015-04-07 2016-10-13 Verifood, Ltd. Detector for spectrometry system
US10066990B2 (en) 2015-07-09 2018-09-04 Verifood, Ltd. Spatially variable filter systems and methods
US10203246B2 (en) 2015-11-20 2019-02-12 Verifood, Ltd. Systems and methods for calibration of a handheld spectrometer
US10268914B1 (en) * 2016-01-07 2019-04-23 Hrl Laboratories, Llc Blind sensing for hyperspectral surveillance
US10254215B2 (en) 2016-04-07 2019-04-09 Verifood, Ltd. Spectrometry system applications
EP3488204A4 (en) 2016-07-20 2020-07-22 Verifood Ltd. ACCESSORIES FOR HANDLABLE SPECTROMETERS
US10791933B2 (en) 2016-07-27 2020-10-06 Verifood, Ltd. Spectrometry systems, methods, and applications
CN106875413B (zh) * 2017-02-13 2019-05-17 华东师范大学 一种基于高光谱成像的粘连红细胞自动计数方法
US11456059B2 (en) * 2017-08-22 2022-09-27 Geospatial Technology Associates Llc System, apparatus and method for hierarchical identification, multi-tier target library processing, and two-stage identification
JP7018297B2 (ja) * 2017-11-16 2022-02-10 日本電子株式会社 スペクトル解析装置及び方法
US20200364835A1 (en) * 2018-01-31 2020-11-19 Nec Corporation Image processing device, image processing method and storage medium
CN108917930B (zh) * 2018-06-21 2019-09-20 中国科学院西安光学精密机械研究所 基于光谱成像技术的高光谱解混光学实现方法
EP3864384A4 (en) 2018-10-08 2022-06-29 Verifood Ltd. Accessories for optical spectrometers
CN109785305B (zh) * 2018-12-28 2021-01-12 国网浙江省电力有限公司嘉兴供电公司 一种端元可变的高光谱图像光谱混合分析方法及装置
US11676367B1 (en) * 2019-02-07 2023-06-13 Hrl Laboratories, Llc System and method for anomaly detection using anomaly cueing
KR102172914B1 (ko) * 2019-06-07 2020-11-03 한국생산기술연구원 라만 스펙트럼 식별 고속 탐색 방법 및 장치
KR102837402B1 (ko) * 2019-07-28 2025-07-23 구글 엘엘씨 포비에이티드 메시들로 몰입형 비디오 콘텐츠를 렌더링하기 위한 방법들, 시스템들, 및 매체들
GB202001065D0 (en) * 2020-01-24 2020-03-11 Secr Defence Computer implemented method of spectral un-mixing
JP7828141B2 (ja) * 2021-04-30 2026-03-11 株式会社キーエンス 分析装置、分析方法、分析プログラムおよび記憶媒体
CN115170960B (zh) * 2022-07-01 2025-12-30 南京理工大学 可学习隐式变量迭代展开网络的高光谱稀疏解混方法
US20240273678A1 (en) * 2023-01-30 2024-08-15 The Research Foundation For The State University Of New York Unmixing image data

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2429327A1 (en) * 2000-11-16 2003-04-17 Ciphergen Biosystems, Inc. Method for analyzing mass spectra
US20110052019A1 (en) * 2009-09-03 2011-03-03 Green Vision Systems Ltd. Analyzing Objects Via Hyper-Spectral Imaging and Analysis
US8429153B2 (en) * 2010-06-25 2013-04-23 The United States Of America As Represented By The Secretary Of The Army Method and apparatus for classifying known specimens and media using spectral properties and identifying unknown specimens and media
WO2014203151A1 (en) * 2013-06-18 2014-12-24 Ramot At Tel-Aviv University Ltd. Apparatus and method for snapshot spectral imaging

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JP2016224031A (ja) 2016-12-28
EP3907658B1 (en) 2025-11-12
EP3089074A1 (en) 2016-11-02
EP3089074B1 (en) 2023-06-07
US10094713B2 (en) 2018-10-09
EP3907658A1 (en) 2021-11-10
US20160313184A1 (en) 2016-10-27

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