EA201890935A1 - Способ получения и анализа аэрофотоснимков - Google Patents

Способ получения и анализа аэрофотоснимков

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Publication number
EA201890935A1
EA201890935A1 EA201890935A EA201890935A EA201890935A1 EA 201890935 A1 EA201890935 A1 EA 201890935A1 EA 201890935 A EA201890935 A EA 201890935A EA 201890935 A EA201890935 A EA 201890935A EA 201890935 A1 EA201890935 A1 EA 201890935A1
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EA
Eurasian Patent Office
Prior art keywords
parameters
images
analyzing
resolution
specified
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EA201890935A
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English (en)
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EA039345B1 (ru
Inventor
Ира Двир
Ницан Рабиновиц Бац
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Агровинг Лтд
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Publication of EA201890935A1 publication Critical patent/EA201890935A1/ru
Publication of EA039345B1 publication Critical patent/EA039345B1/ru

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/188—Vegetation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/18—Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
    • H04W4/185—Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals by embedding added-value information into content, e.g. geo-tagging
    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G06T2207/10036—Multispectral image; Hyperspectral image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30188—Vegetation; Agriculture
    • 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Remote Sensing (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Processing (AREA)
  • Catching Or Destruction (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

Предложен способ и система для получения и анализа мультиспектральных изображений, при этом способ включает запись предварительных мультиспектральных аэрофотоснимков в соответствии с заданными параметрами исследования, с предварительно выбранным разрешением, автоматическое выполнение предварительного анализа на месте или местоположении в поле с использованием крупномасштабного разбиения на пятна записанных изображений в реальном или близком к реальному времени, определение неоднородностей в пределах заданных параметров исследования и представление соответствующих им выходных данных и определение по результатам предварительного анализа того, следует ли выполнять второй этап получения и анализа изображений с более высоким разрешением, чем предварительно выбранное разрешение. В изобретение также включен способ анализа и идентификации объекта, включающий анализ мультиспектральных изображений с высоким разрешением в соответствии с заданными параметрами объекта, когда обнаружены параметры в пределах заданных параметров объекта, выполнение разбиения на пятна на изображениях, содержащих такие параметры, чтобы идентифицировать пятна, и сравнение объектов, ограниченных этими пятнами, с заданными эталонными параметрами для идентификации объектов, имеющих заданные параметры объекта.
EA201890935A 2015-11-08 2016-11-08 Способ получения и анализа аэрофотоснимков EA039345B1 (ru)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562252513P 2015-11-08 2015-11-08
PCT/IL2016/051205 WO2017077543A1 (en) 2015-11-08 2016-11-08 A method for aerial imagery acquisition and analysis

Publications (2)

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EA201890935A1 true EA201890935A1 (ru) 2018-11-30
EA039345B1 EA039345B1 (ru) 2022-01-17

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Country Status (11)

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US (1) US10943114B2 (ru)
EP (1) EP3374928B1 (ru)
JP (1) JP6921095B2 (ru)
KR (1) KR102623403B1 (ru)
CN (1) CN108369635B (ru)
AU (1) AU2016350155B2 (ru)
BR (1) BR112018009108B1 (ru)
CA (1) CA3004388C (ru)
EA (1) EA039345B1 (ru)
MX (1) MX2018005714A (ru)
WO (1) WO2017077543A1 (ru)

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