Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products

Title: Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products

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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:: Moya, Mary M.; Koch, Mark W.; Perkins, David Nikolaus

Issue Date:: 2018-08-07

OSTI Identifier:: 1469310

Assignee:: National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM) SNL-A

Patent Number(s):: 10,042,048

Application Number:: 14/626,582

Contract Number:: AC04-94AL85000

Resource Relation:: Patent File Date: 2015 Feb 19

Research Org:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org:: USDOE

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

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