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Title: Terrain detection and classification using single polarization SAR

Abstract

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:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1236006
Patent Number(s):
9,239,384
Application Number:
14/519,278
Assignee:
Sandia Corporation SNL-A
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2016 Jan 19
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 47 OTHER INSTRUMENTATION

Citation Formats

Chow, James G., and Koch, Mark W. Terrain detection and classification using single polarization SAR. United States: N. p., 2016. Web.
Chow, James G., & Koch, Mark W. Terrain detection and classification using single polarization SAR. United States.
Chow, James G., and Koch, Mark W. Tue . "Terrain detection and classification using single polarization SAR". United States. doi:. https://www.osti.gov/servlets/purl/1236006.
@article{osti_1236006,
title = {Terrain detection and classification using single polarization SAR},
author = {Chow, James G. and Koch, Mark W.},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 19 00:00:00 EST 2016},
month = {Tue Jan 19 00:00:00 EST 2016}
}

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Works referenced in this record:

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