AR106922A1 - Detección de nubes en imágenes de percepción remota - Google Patents

Detección de nubes en imágenes de percepción remota

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Publication number
AR106922A1
AR106922A1 ARP160103740A ARP160103740A AR106922A1 AR 106922 A1 AR106922 A1 AR 106922A1 AR P160103740 A ARP160103740 A AR P160103740A AR P160103740 A ARP160103740 A AR P160103740A AR 106922 A1 AR106922 A1 AR 106922A1
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Argentina
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stage
clouds
pixels
cloud
shadows
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ARP160103740A
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English (en)
Inventor
gerard Jeffrey
Khadka Pramithus
Guan Wei
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Climate Corp
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Publication of AR106922A1 publication Critical patent/AR106922A1/es

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    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/771—Feature selection, e.g. selecting representative features from a multi-dimensional feature space
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    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F18/20—Analysing
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    • 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
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
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    • G06F18/20—Analysing
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    • G06T7/00—Image analysis
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    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • G—PHYSICS
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    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/30—Noise filtering
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
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    • G06V10/87—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using selection of the recognition techniques, e.g. of a classifier in a multiple classifier system
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    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19147—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
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    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19173—Classification techniques
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    • G06V30/10—Character recognition
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    • G06T2207/30192—Weather; Meteorology
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    • G06V20/10—Terrestrial scenes
    • G06V20/194—Terrestrial scenes using hyperspectral data, i.e. more or other wavelengths than RGB
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/24—Character recognition characterised by the processing or recognition method
    • G06V30/248—Character recognition characterised by the processing or recognition method involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q"
    • G06V30/2528—Combination of methods, e.g. classifiers, working on the same input data

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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Optical Radar Systems And Details Thereof (AREA)

Abstract

Se describe un sistema de detección de nubes y sombras de nubes. En un enfoque se detectan nubes y sombras de nubes dentro de una imagen de percepción remota a través de un proceso de tres pasos. En la primera etapa se utiliza un clasificador de alta precisión y baja exhaustividad para identificar píxeles de semillas de nubes dentro de la imagen. En la segunda etapa se utiliza un clasificador de baja precisión y alta exhaustividad para identificar los píxeles de posibles nubes dentro de la imagen. Además, en la segunda etapa se hace crecer los píxeles de semillas de nubes en los píxeles de posibles nubes para identificar agrupamientos de píxeles que tienen una alta probabilidad de representar nubes. En la tercera etapa se utiliza una técnica geométrica para determinar los píxeles que probablemente representan sombras proyectadas por las nubes que se identificaron en la segunda etapa. Las nubes identificadas en la segunda etapa y las sombras identificadas en la tercera etapa se exportan a continuación como una máscara de nubes y una máscara de sombras de la imagen de percepción remota.
ARP160103740A 2015-12-07 2016-12-06 Detección de nubes en imágenes de percepción remota AR106922A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US14/960,921 US9721181B2 (en) 2015-12-07 2015-12-07 Cloud detection on remote sensing imagery

Publications (1)

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AR106922A1 true AR106922A1 (es) 2018-02-28

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ARP160103740A AR106922A1 (es) 2015-12-07 2016-12-06 Detección de nubes en imágenes de percepción remota

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US (5) US9721181B2 (es)
EP (1) EP3391099A4 (es)
AR (1) AR106922A1 (es)
AU (1) AU2016369263B2 (es)
BR (1) BR112018011458B1 (es)
CA (1) CA3007184C (es)
UA (1) UA123591C2 (es)
WO (1) WO2017099951A1 (es)
ZA (1) ZA201803757B (es)

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