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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:
Publication Date:
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.
Chow, James G. Vehicle track identification in synthetic aperture radar images. United States.
Chow, James G. 2018. "Vehicle track identification in synthetic aperture radar images". United States. https://www.osti.gov/servlets/purl/1464128.
@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 = {Tue Jul 24 00:00:00 EDT 2018},
month = {Tue Jul 24 00:00:00 EDT 2018}
}

Works referenced in this record:

Wavefront-defined Radon transform
patent, June 2012


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


Semantic Video Object Segmentation and Tracking
patent-application, December 2001


System and Method for the Automatic Extraction of Linear Features from Digital Imagery
patent-application, March 2002


Method and Device for Automatically Detecting Collimation Edges
patent-application, September 2009


Fourier Domain Blur Estimation Method and System
patent-application, April 2011


System And Method For Detecting And Tracking An Object Of Interest In Spatio-Temporal Space
patent-application, August 2012


Method of Processing Radiograph and Apparatus for Processing Radiograph using the Method
patent-application, June 2013


Generation and Use of a 3D Radon Image
patent-application, October 2015


Image-Assisted Remote Control Vehicle Systems and Methods
patent-application, December 2015