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Title: Apparatus, system and method for highlighting anomalous change in multi-pass synthetic aperture radar imagery

Abstract

Described herein are various technologies relating to constructing a statistically-normalized coherence (SNC) image. A plurality of synthetic aperture radar (SAR) images of a scene are generated based upon radar signals directed towards and reflected off of the scene, and a plurality of coherence change detection (CCD) images of the scene are generated based upon the SAR images. The CCD images are registered with one another, and mean and variance are computed on a pixel-wise basis. A new CCD image is subsequently received, and registered with the plurality of CCD images. The SNC image is generated based upon the computed mean and variance values for each pixel in the registered CCD images, and further based upon values of pixels in the new CCD image. The SNC image identifies locations in the scene where anomalous activity is represented in the new CCD image.

Inventors:
; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1632440
Patent Number(s):
10,535,127
Application Number:
15/812,238
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
DOE Contract Number:  
NA0003525
Resource Type:
Patent
Resource Relation:
Patent File Date: 11/14/2017
Country of Publication:
United States
Language:
English

Citation Formats

Simonson, Katherine M., Lizarraga, Ivan, and Perkins, David Nikolaus. Apparatus, system and method for highlighting anomalous change in multi-pass synthetic aperture radar imagery. United States: N. p., 2020. Web.
Simonson, Katherine M., Lizarraga, Ivan, & Perkins, David Nikolaus. Apparatus, system and method for highlighting anomalous change in multi-pass synthetic aperture radar imagery. United States.
Simonson, Katherine M., Lizarraga, Ivan, and Perkins, David Nikolaus. Tue . "Apparatus, system and method for highlighting anomalous change in multi-pass synthetic aperture radar imagery". United States. https://www.osti.gov/servlets/purl/1632440.
@article{osti_1632440,
title = {Apparatus, system and method for highlighting anomalous change in multi-pass synthetic aperture radar imagery},
author = {Simonson, Katherine M. and Lizarraga, Ivan and Perkins, David Nikolaus},
abstractNote = {Described herein are various technologies relating to constructing a statistically-normalized coherence (SNC) image. A plurality of synthetic aperture radar (SAR) images of a scene are generated based upon radar signals directed towards and reflected off of the scene, and a plurality of coherence change detection (CCD) images of the scene are generated based upon the SAR images. The CCD images are registered with one another, and mean and variance are computed on a pixel-wise basis. A new CCD image is subsequently received, and registered with the plurality of CCD images. The SNC image is generated based upon the computed mean and variance values for each pixel in the registered CCD images, and further based upon values of pixels in the new CCD image. The SNC image identifies locations in the scene where anomalous activity is represented in the new CCD image.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}

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Works referenced in this record:

Mobile coherent change detection ground penetrating radar
patent, July 2014


Reduced-bias multi-resolution coherent change detection
patent, July 2019


Terrain detection and classification using single polarization SAR
patent, January 2016


Estimating pixel variances in the scenes of staring sensors
patent, January 2012


Image registration with uncertainty analysis
patent, March 2011