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Title: Reduced-bias multi-resolution coherent change detection

Abstract

Described herein are various technologies relating to generating a reduced bias multi-resolution (RBMR) coherent change detection (CCD) image product. A low bias, low resolution (LBLR) CCD image product is generated based upon a first SAR image of a scene and a second SAR image of the scene, where each pixel in the LBLR CCD image has a respective value that is computed using a large box-filter. The LBLR CCD image is segmented into a plurality of segments, and a box-filter size is determined for each segment based upon values of pixels in the segment. A RBMR CCD image product is then computed using box-filters of the determined sizes.

Inventors:
;
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568577
Patent Number(s):
10,345,440
Application Number:
14/957,393
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 12/02/2015
Country of Publication:
United States
Language:
English

Citation Formats

West, Roger Derek, and Moya, Mary M. Reduced-bias multi-resolution coherent change detection. United States: N. p., 2019. Web.
West, Roger Derek, & Moya, Mary M. Reduced-bias multi-resolution coherent change detection. United States.
West, Roger Derek, and Moya, Mary M. Tue . "Reduced-bias multi-resolution coherent change detection". United States. https://www.osti.gov/servlets/purl/1568577.
@article{osti_1568577,
title = {Reduced-bias multi-resolution coherent change detection},
author = {West, Roger Derek and Moya, Mary M.},
abstractNote = {Described herein are various technologies relating to generating a reduced bias multi-resolution (RBMR) coherent change detection (CCD) image product. A low bias, low resolution (LBLR) CCD image product is generated based upon a first SAR image of a scene and a second SAR image of the scene, where each pixel in the LBLR CCD image has a respective value that is computed using a large box-filter. The LBLR CCD image is segmented into a plurality of segments, and a box-filter size is determined for each segment based upon values of pixels in the segment. A RBMR CCD image product is then computed using box-filters of the determined sizes.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

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