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Patent Searching and Data


Title:
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND IMAGE PROCESSING SYSTEM
Document Type and Number:
WIPO Patent Application WO/2019/087673
Kind Code:
A1
Abstract:
The present invention facilitates association between an object and a stable refection point on an image. This image processing device is provided with: a stable reflection point identification unit; a phase acquisition unit; and a clustering unit. The stable reflection point identification unit of the image processing device identifies stable reflection points where reflections are stable on a plurality of images. The phase acquisition unit of the image processing device acquires phases of the identified stable reflection points. The clustering unit of the image processing device clusters the stable reflection points on the basis of the positions and the phases of the stable reflection points.

Inventors:
TANAKA TAICHI (JP)
HOSHUYAMA OSAMU (JP)
Application Number:
PCT/JP2018/037234
Publication Date:
May 09, 2019
Filing Date:
October 04, 2018
Export Citation:
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Assignee:
NEC CORP (JP)
International Classes:
G01S13/90
Domestic Patent References:
WO2018123748A12018-07-05
Foreign References:
JP2006221520A2006-08-24
US20110163911A12011-07-07
Other References:
TANAKA, TAICHI: "Persistent Scatterer Clustering Using Phase Correlation Graph for Structure Displacement Analysis", PROCEEDINGS OF THE 2017 IEICE GENERAL CONFERENCE: COMMUNICATION 1, 7 March 2017 (2017-03-07), pages 224, ISSN: 1349-1369
MICHAELSEN, ECKART ET AL.: "Utilizing Phase for the Grouping of PS in Urban High-Resolution in- SAR-Images", JOINT URBAN REMOTE SENSING EVENT (JURSE 2011, 13 April 2011 (2011-04-13), pages 189 - 192, XP031864445
GIROLAMI, MARK: "Mercer Kernel-Based Clustering in Feature Space", IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 13, no. 3, May 2002 (2002-05-01), pages 780 - 784, XP011077250
GRYGORASH, OLEKSANDR ET AL.: "Minimum Spanning Tree Based Clustering Algorithms", PROCEEDINGS OF THE 18TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICAL INTELLIGENCE (ICTAI'06, October 2006 (2006-10-01), XP031031423, ISBN: 0-7695-2728-0
TANAKA ET AL.: "Persistent Scatterer Clustering for Structure Displacement Analysis Based on Phase Correlation Network", 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS, 4 December 2017 (2017-12-04), pages 4618 - 4621, XP033275496, ISSN: 2153-7003
TANAKA, TAICHI: "Clustering Technique to Grasp Distribution Shape of Persistent Scatterers Using Correlation Kernel", PROCEEDINGS OF THE 2018 IEICE GENERAL CONFERENCE: COMMUNICATION 1, 6 March 2018 (2018-03-06), pages 187, ISSN: 1349-1369
LU , PING: "Persistent Scatterers Interferometry Hotspot and Cluster Analysis (PSI-HCA) for detection of extremely slow-moving landslides", INTERNATIONAL JOURNAL OF REMOTE SENSING, vol. 33, no. 2, 20 January 2012 (2012-01-20), pages 466 - 489, XP055516816
SCHUNERT, ALEXANDER ET AL.: "Grouping of Persistent Scatterers in high-resolution SAR data of urban scenes", ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol. 73, 2012, pages 80 - 88, XP055516813
Attorney, Agent or Firm:
KATO Takashi (JP)
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