UHF-SAR and LIDAR Complementary Sensor Fusion for Unexploded Buried Munitions Detection

Given the UHF bands properties of foliage and round penetration, a UHF-SAR image contains both above- and below-surface scatterers. The problem of detecting sub-surface objects is problematic due to the presence of above-surface scatterers in the detection images. In case of a single-pass anomaly image or a two-pass change image, the resultinganomalies or changes are due to scatterers above and below the surface, where the above surface anomalies/changes act as confusers. LIDAR digital elevation models (DEM) provide georegistered information about the above-surface objects present in the UHF-SAR scene. Detection of the above-surface objects in the LIDAR domain is used to rule out above-surface false-alarms in the UHF-SAR domain detection images. A complementary sensor fusion algorithm is implemented which exploits the limited ground penetrating capabilities of UHF-SAR and the false-alarm removal using LIDAR. For unitemporal and multitemporal UHF-SAR collections (both containing multiple-passes and multiple- polarizations) anomaly detection and change detection are implemented, respectively. Inthis thesis, various pixel-based and feature-based change detection algorithms are implementedto study the effectiveness of multitemporal change detection algorithms. In addition, incorporation of UHF-SAR multiple-passes and multiple-polarizations further improves detection results. The algorithms are tested using data collected under JIEDDOs Halite-1 program, which provides both UHF-SAR and LIDAR DEM.

Name thesis:degree_name

Master of Science in Engineering (MSEgr)

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Grantor dc:publisher

Wright State University

Year dc:date

2012

Author dc:creator

• Depoy, Randy S., Jr.

Contributors dc:contributor

• Shaw, Arnab

• Electrical Engineering
• IED
• VOIED
• detection
• change detection
• UHF-SAR
• UHF
• SAR
• LIDAR
• DEM
• digital elevation maps
• anomaly detection
• AD
• CD
• false-alarm reduction
• false-alarm
• fusion
• complementary
• multiple-sensor
• complementary fusion
• far-field detection
• far-field sensor

Statement dc:rights

• unrestricted
• This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.

Language dc:language

English

Repository record dc:identifier

http://rave.ohiolink.edu/etdc/view?acc_num=wright1357843204

OAI identifier oai:identifier

oai:etd.ohiolink.edu:wright1357843204