Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products
Abstract
Various embodiments presented herein relate to assigning labels to segments of a synthetic aperture radar (SAR) image, where the segments are based upon a speckle-reduced SAR image product. A plurality of SAR images of a scene are co-registered to form a registered stack of SAR images. A speckle-reduced SAR image product is generated based upon at least one registered SAR image in the registered stack of SAR images. The speckle-reduced SAR image product is segmented into a plurality of superpixels, and boundaries of the superpixels are applied to the at least one registered SAR image to form a segmented SAR image. A segment of the SAR image is then labeled as including or not including a feature, wherein the label is assigned based upon values of pixels in the segment.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1469310
- Patent Number(s):
- 10,042,048
- Application Number:
- 14/626,582
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2015 Feb 19
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Moya, Mary M., Koch, Mark W., and Perkins, David Nikolaus. Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products. United States: N. p., 2018.
Web.
Moya, Mary M., Koch, Mark W., & Perkins, David Nikolaus. Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products. United States.
Moya, Mary M., Koch, Mark W., and Perkins, David Nikolaus. Tue .
"Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products". United States. https://www.osti.gov/servlets/purl/1469310.
@article{osti_1469310,
title = {Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products},
author = {Moya, Mary M. and Koch, Mark W. and Perkins, David Nikolaus},
abstractNote = {Various embodiments presented herein relate to assigning labels to segments of a synthetic aperture radar (SAR) image, where the segments are based upon a speckle-reduced SAR image product. A plurality of SAR images of a scene are co-registered to form a registered stack of SAR images. A speckle-reduced SAR image product is generated based upon at least one registered SAR image in the registered stack of SAR images. The speckle-reduced SAR image product is segmented into a plurality of superpixels, and boundaries of the superpixels are applied to the at least one registered SAR image to form a segmented SAR image. A segment of the SAR image is then labeled as including or not including a feature, wherein the label is assigned based upon values of pixels in the segment.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}
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