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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:
Issue 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. Tue . "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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {7}
}

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