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:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1236006
- Patent Number(s):
- 9239384
- Application Number:
- 14/519,278
- Assignee:
- Sandia Corporation
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
- 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. 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 = {2016},
month = {1}
}
Works referenced in this record:
SAR image effects on coherence and coherence estimation
report, January 2014
- Bickel, Douglas Lloyd
- SAND--2014-0369
Robust Techniques for Coherent Change Detection Using Cosmo-Skymed sar Images
journal, January 2012
- Bouaraba, Azzedine; Younsi, Arezki; Belhadj Aissa, Aichouche
- Progress In Electromagnetics Research M, Vol. 22
Terrain detection and classification using single polarization SAR
patent, January 2016
- Chow, James; Koch, Mark W.
- US Patent Document 9,239,384