System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor
Abstract
A detection system that detects subsurface objects within a medium and estimates various features of the objects is provided. The detection system receives a streaming sequence of image frames of the medium at various along-medium locations. An image frame contains voxel values (intensities) representing characteristics of the medium across the medium and in the depth (range) direction. The detection system depth-compensates the intensities for determining which voxels are part of an object using an unsupervised binary classifier. The detection system then connects object voxels into distinct objects and recursively estimates the features of those objects as the image frames stream based on the locations and intensities of the object voxels.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1459658
- Patent Number(s):
- 10007996
- Application Number:
- 14/635,822
- Assignee:
- Lawrence Livermore National Security, LLC (N/A)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
G - PHYSICS G01 - MEASURING G01V - GEOPHYSICS
- DOE Contract Number:
- AC52-07NA27344
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2015 Mar 02
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Paglieroni, David W., and Beer, N. Reginald. System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor. United States: N. p., 2018.
Web.
Paglieroni, David W., & Beer, N. Reginald. System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor. United States.
Paglieroni, David W., and Beer, N. Reginald. Tue .
"System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor". United States. https://www.osti.gov/servlets/purl/1459658.
@article{osti_1459658,
title = {System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor},
author = {Paglieroni, David W. and Beer, N. Reginald},
abstractNote = {A detection system that detects subsurface objects within a medium and estimates various features of the objects is provided. The detection system receives a streaming sequence of image frames of the medium at various along-medium locations. An image frame contains voxel values (intensities) representing characteristics of the medium across the medium and in the depth (range) direction. The detection system depth-compensates the intensities for determining which voxels are part of an object using an unsupervised binary classifier. The detection system then connects object voxels into distinct objects and recursively estimates the features of those objects as the image frames stream based on the locations and intensities of the object voxels.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 26 00:00:00 EDT 2018},
month = {Tue Jun 26 00:00:00 EDT 2018}
}
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