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

Patent ·
OSTI ID:1469310

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.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC04-94AL85000
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
Patent Number(s):
10,042,048
Application Number:
14/626,582
OSTI ID:
1469310
Country of Publication:
United States
Language:
English

References (5)

Quick Shift and Kernel Methods for Mode Seeking conference January 2008
Learning a classification model for segmentation conference January 2003
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods journal November 2012
Class segmentation and object localization with superpixel neighborhoods conference September 2009
A Supervised Classification Method Based on Conditional Random Fields With Multiscale Region Connection Calculus Model for SAR Image journal May 2011

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