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):
- 10345440
- Application Number:
- 14/957,393
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
- 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 = {Tue Jul 09 00:00:00 EDT 2019},
month = {Tue Jul 09 00:00:00 EDT 2019}
}
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