MX2017002807A - Método en tiempo real de área amplia para detectar fluidos extraños en superficies de agua. - Google Patents

Método en tiempo real de área amplia para detectar fluidos extraños en superficies de agua.

Info

Publication number
MX2017002807A
MX2017002807A MX2017002807A MX2017002807A MX2017002807A MX 2017002807 A MX2017002807 A MX 2017002807A MX 2017002807 A MX2017002807 A MX 2017002807A MX 2017002807 A MX2017002807 A MX 2017002807A MX 2017002807 A MX2017002807 A MX 2017002807A
Authority
MX
Mexico
Prior art keywords
water
foreign
images
wide
fluids
Prior art date
Application number
MX2017002807A
Other languages
English (en)
Inventor
B Chenault David
Original Assignee
Polaris Sensor Tech Inc
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 Polaris Sensor Tech Inc filed Critical Polaris Sensor Tech Inc
Publication of MX2017002807A publication Critical patent/MX2017002807A/es

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/21Polarisation-affecting properties
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00Investigating or analyzing materials by the use of thermal means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • G01N33/1826Organic contamination in water
    • G01N33/1833Oil in water
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145Illumination specially adapted for pattern recognition, e.g. using gratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/13Satellite images
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/1793Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10048Infrared image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Multimedia (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Remote Sensing (AREA)
  • Astronomy & Astrophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

Un método que utiliza polarimetría de formación de imágenes por infrarrojos para detectar la presencia de fluidos extraños en el agua comprende estimar una respuesta de polarización esperada para un fluido extraño que se desea detectar; el petróleo de un derrame de petróleo es un tal fluido extraño; una posición óptima de un polarímetro para tomar imágenes de la superficie del agua se determina a partir de la respuesta de polarización esperada; el polarímetro se posiciona en la posición óptima y registra datos de imagen en bruto de la superficie del agua para obtener imágenes polarizadas del área; las imágenes polarizadas se corrigen, y los productos de los datos de polarización y de IR se computan; los productos de los datos de polarización y de IR se convierten a un conjunto de datos multidimensionales para formar imágenes multidimensionales; se aplican algoritmos de contraste a las imágenes multidimensionales para formar imágenes de contraste mejorado, a partir de las cuales se pueden detectar automáticamente los fluidos extraños.
MX2017002807A 2014-09-02 2015-09-02 Método en tiempo real de área amplia para detectar fluidos extraños en superficies de agua. MX2017002807A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201462044682P 2014-09-02 2014-09-02
PCT/US2015/048189 WO2016036881A1 (en) 2014-09-02 2015-09-02 Wide-area real-time method for detecting foreign fluids on water surfaces

Publications (1)

Publication Number Publication Date
MX2017002807A true MX2017002807A (es) 2017-12-20

Family

ID=55402128

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017002807A MX2017002807A (es) 2014-09-02 2015-09-02 Método en tiempo real de área amplia para detectar fluidos extraños en superficies de agua.

Country Status (8)

Country Link
US (4) US9528929B2 (es)
EP (1) EP3189328A4 (es)
CN (1) CN107148573B (es)
AU (1) AU2015311971B2 (es)
BR (1) BR112017004222B1 (es)
MX (1) MX2017002807A (es)
SG (1) SG11201701676YA (es)
WO (1) WO2016036881A1 (es)

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US10739241B2 (en) * 2014-12-17 2020-08-11 Schlumberger Technology Corporation Test apparatus for estimating liquid droplet fallout
CN106769882B (zh) * 2016-11-01 2021-12-03 深圳先进技术研究院 溢油监测仪及其监测方法
CN107101948B (zh) * 2017-06-06 2019-12-27 南京理工大学 一种基于偏振吸收特性的海面溢油检测方法
JP6989444B2 (ja) * 2018-01-18 2022-01-05 株式会社日立製作所 作業端末、漏油検出装置、及び、漏油検出方法
EP3788350A1 (en) * 2018-05-03 2021-03-10 Uster Technologies AG Textile brightness measurement system
CN108918432B (zh) * 2018-05-15 2021-07-20 四川理工学院 基于Landsat8影像的水域提取方法及装置
EP3871185A1 (en) * 2018-10-25 2021-09-01 Shell Internationale Research Maatschappij B.V. Backpropagation-enabled method for identifying a sea surface anomaly from satellite-acquired images and/or airborne-acquired images
CN109490867B (zh) * 2018-12-25 2020-05-22 北京理工大学 水面目标偏振遥感探测能力评价方法
JP6870696B2 (ja) * 2019-02-27 2021-05-12 ダイキン工業株式会社 汚れ検出装置および空気調和システム
CN114965918A (zh) * 2022-04-20 2022-08-30 重庆两江生态渔业发展有限公司 一种基于卫星遥感图像的水质分析方法

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Also Published As

Publication number Publication date
BR112017004222A2 (pt) 2017-12-05
US9528929B2 (en) 2016-12-27
EP3189328A1 (en) 2017-07-12
CN107148573B (zh) 2019-11-12
US11022541B2 (en) 2021-06-01
US20180328836A1 (en) 2018-11-15
US9970861B2 (en) 2018-05-15
AU2015311971A1 (en) 2017-03-30
SG11201701676YA (en) 2017-04-27
US10365210B2 (en) 2019-07-30
AU2015311971B2 (en) 2021-01-21
US20160061665A1 (en) 2016-03-03
CN107148573A (zh) 2017-09-08
EP3189328A4 (en) 2018-02-28
US20170299501A1 (en) 2017-10-19
US20200110022A1 (en) 2020-04-09
WO2016036881A1 (en) 2016-03-10
BR112017004222B1 (pt) 2022-05-03

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