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Title: Terrain detection and classification using single polarization SAR

The various technologies presented herein relate to identifying manmade and/or natural features in a radar image. Two radar images (e.g., single polarization SAR images) can be captured for a common scene. The first image is captured at a first instance and the second image is captured at a second instance, whereby the duration between the captures are of sufficient time such that temporal decorrelation occurs for natural surfaces in the scene, and only manmade surfaces, e.g., a road, produce correlated pixels. A LCCD image comprising the correlated and decorrelated pixels can be generated from the two radar images. A median image can be generated from a plurality of radar images, whereby any features in the median image can be identified. A superpixel operation can be performed on the LCCD image and the median image, thereby enabling a feature(s) in the LCCD image to be classified.
Inventors:
;
Issue Date:
OSTI Identifier:
1236006
Assignee:
Sandia Corporation SNL-A
Patent Number(s):
9,239,384
Application Number:
14/519,278
Contract Number:
AC04-94AL85000
Resource Relation:
Patent File Date: 2016 Jan 19
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 47 OTHER INSTRUMENTATION

Other works cited in this record:

SAR image effects on coherence and coherence estimation
report, January 2014

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