EP3857443A4 - Advanced cloud detection using neural networks and optimization techniques - Google Patents

Advanced cloud detection using neural networks and optimization techniques Download PDF

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Publication number
EP3857443A4
EP3857443A4 EP19864631.7A EP19864631A EP3857443A4 EP 3857443 A4 EP3857443 A4 EP 3857443A4 EP 19864631 A EP19864631 A EP 19864631A EP 3857443 A4 EP3857443 A4 EP 3857443A4
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EP
European Patent Office
Prior art keywords
neural networks
optimization techniques
cloud detection
advanced cloud
advanced
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP19864631.7A
Other languages
German (de)
French (fr)
Other versions
EP3857443A1 (en
Inventor
Michael Aschenbeck
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Maxar Intelligence Inc
Original Assignee
DigitalGlobe 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
Priority claimed from US16/140,052 external-priority patent/US10685253B2/en
Application filed by DigitalGlobe Inc filed Critical DigitalGlobe Inc
Publication of EP3857443A1 publication Critical patent/EP3857443A1/en
Publication of EP3857443A4 publication Critical patent/EP3857443A4/en
Withdrawn legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2323—Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • 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
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • 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
    • G06V10/513—Sparse representations
    • 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
    • G06V10/54—Extraction of image or video features relating to texture
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—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
    • G06V10/7635—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks based on graphs, e.g. graph cuts or spectral clustering
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—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
    • G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/13—Satellite images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Astronomy & Astrophysics (AREA)
  • Remote Sensing (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Discrete Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
EP19864631.7A 2018-09-24 2019-09-24 Advanced cloud detection using neural networks and optimization techniques Withdrawn EP3857443A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/140,052 US10685253B2 (en) 2016-11-28 2018-09-24 Advanced cloud detection using neural networks and optimization techniques
PCT/US2019/052593 WO2020068744A1 (en) 2018-09-24 2019-09-24 Advanced cloud detection using neural networks and optimization techniques

Publications (2)

Publication Number Publication Date
EP3857443A1 EP3857443A1 (en) 2021-08-04
EP3857443A4 true EP3857443A4 (en) 2022-08-03

Family

ID=69953551

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19864631.7A Withdrawn EP3857443A4 (en) 2018-09-24 2019-09-24 Advanced cloud detection using neural networks and optimization techniques

Country Status (2)

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EP (1) EP3857443A4 (en)
WO (1) WO2020068744A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102656333B1 (en) * 2021-12-01 2024-04-11 한국항공우주연구원 Machine learning-based optical satellite image automatic cloudiness analysis system and automatic cloudiness analysis method
US12249045B2 (en) 2021-12-14 2025-03-11 International Business Machines Corporation Resolving obfuscated sections of an image with selectively captured new imagery
CN118172291B (en) * 2024-05-14 2024-08-13 浙江国遥地理信息技术有限公司 Image cloud removing method and device for remote sensing image and electronic equipment

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180150677A1 (en) * 2016-11-28 2018-05-31 Digitalglobe, Inc. Advanced cloud detection using machine learning and optimization techniques

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7184890B2 (en) * 2003-11-24 2007-02-27 The Boeing Company Cloud shadow detection: VNIR-SWIR
US9721181B2 (en) * 2015-12-07 2017-08-01 The Climate Corporation Cloud detection on remote sensing imagery

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180150677A1 (en) * 2016-11-28 2018-05-31 Digitalglobe, Inc. Advanced cloud detection using machine learning and optimization techniques

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
See also references of WO2020068744A1 *
SHI MENGYUN ET AL: "Cloud detection of remote sensing images by deep learning", 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 10 July 2016 (2016-07-10), pages 701 - 704, XP032990407 *
ZENG XIAOSHUANG ET AL: "Cloud detection of remote sensing images on Landsat-8 by deep learning", PROCEEDINGS OF SPIE, TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018), 108064Y;, vol. 10806, 9 August 2018 (2018-08-09), XP060109674 *

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Publication number Publication date
EP3857443A1 (en) 2021-08-04
WO2020068744A1 (en) 2020-04-02

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