Vehicle track identification in synthetic aperture radar images

Title: Vehicle track identification in synthetic aperture radar images

Abstract

Various technologies pertaining to identification of vehicle tracks in synthetic aperture radar coherent change detection image data are described herein. Coherent change detection images are analyzed in a parameter space using Radon transforms. Peaks of the Radon transforms correspond to features of interest, including vehicle tracks, which are identified and classified. New coherent change detection images in which the features of interest and their characteristics are signified are then generated using inverse Radon transforms.

Inventors:: Chow, James G.

Publication Date:: 2018-07-24

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1464128

Patent Number(s):: 10,032,077

Application Number:: 14/927,102

Assignee:: National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)

DOE Contract Number:: AC04-94AL85000

Resource Type:: Patent

Resource Relation:: Patent File Date: 2015 Oct 29

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION; 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE

Citation Formats


                    Chow, James G. Vehicle track identification in synthetic aperture radar images.  United States: N. p., 2018. 
        Web.

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                    Chow, James G. Vehicle track identification in synthetic aperture radar images.  United States.

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                    Chow, James G. Tue .  
        "Vehicle track identification in synthetic aperture radar images".  United States.  https://www.osti.gov/servlets/purl/1464128.

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@article{osti_1464128,

  title        = {Vehicle track identification in synthetic aperture radar images},

  author       = {Chow, James G.},

  abstractNote = {Various technologies pertaining to identification of vehicle tracks in synthetic aperture radar coherent change detection image data are described herein. Coherent change detection images are analyzed in a parameter space using Radon transforms. Peaks of the Radon transforms correspond to features of interest, including vehicle tracks, which are identified and classified. New coherent change detection images in which the features of interest and their characteristics are signified are then generated using inverse Radon transforms.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1464128},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {7}

}

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Works referenced in this record:

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patent, July 1978

Goyard, Pierre Jean-Marie
US Patent Document 4,101,890
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Boone, Bradley; Shukla, Oodaye; Bulla, Mark
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Berkovitch, Alexander; Belfer, Igor; Kazinnik, Roman
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Superpixel edges for boundary detection
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Moya, Mary; Koch, Mark
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Method and system for automatically locating static occlusions
patent, July 2016

Shreve, Matthew; Bernal, Edgar; Li, Qun
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Title: Vehicle track identification in synthetic aperture radar images

Abstract

Citation Formats

Radar reconnaissance system for track vehicle recognition patent, July 1978

Method and apparatus for radon transformation and angular correlation in optical processors patent, March 1992

High-resolution Radon transform for processing seismic data patent, October 2003

Vehicle identification, tracking and parking enforcement system patent, September 2010

Wavefront-defined Radon transform patent, June 2012

Superpixel edges for boundary detection patent, July 2016

Method and system for automatically locating static occlusions patent, July 2016

Radar reconnaissance system for track vehicle recognition
patent, July 1978

Method and apparatus for radon transformation and angular correlation in optical processors
patent, March 1992

High-resolution Radon transform for processing seismic data
patent, October 2003

Vehicle identification, tracking and parking enforcement system
patent, September 2010

Wavefront-defined Radon transform
patent, June 2012

Superpixel edges for boundary detection
patent, July 2016

Method and system for automatically locating static occlusions
patent, July 2016