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Proceedings Paper

Synthetic aperture radar for pipeline right-of-way monitoring
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Paper Abstract

The Ball Aerospace Pipeline Damage Prevention Radar (PDPR) project evaluated the use of airborne synthetic aperture radar (SAR) to detect vehicles and equipment located within buried pipeline right-of-way areas but obscured from visual detection. The project included the configuration of a commercial dual-band SAR/EO system for airborne operations, hardware and software modifications to optimize SAR change detection processing, and the execution of multiple flight tests to characterize SAR performance for the detection of equipment obscured by vegetation. Flight tests were conducted in 2016 and 2017 using X-band, Ku-band and ultra-wide band (UWB) SAR in urban and rural environments. Targets in the open showed close to 100% detection performance while covered target results depended on the amount of vegetative canopy. Detection "through" vegetation was generally better using the UWB system, but vegetation gaps frequently allowed higher spatial resolution detections with the Ku-band system. While large equipment was frequently identifiable in the Ku-band SAR images, having coincident EO imagery proved critical for context and automated deep learning based object identification. The detection performance difference between open and covered conditions clearly illustrates how a collection plan that optimizes open viewing conditions increases the overall probability of detection. This research was performed in response to the Damage Prevention topic through the Technology Development in the Pipeline Safety Research and Development Announcement DTPH5615RA00001.

Paper Details

Date Published: 18 September 2018
PDF: 18 pages
Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 1076706 (18 September 2018); doi: 10.1117/12.2504980
Show Author Affiliations
Charles C. Wamsley, Ball Aerospace & Technologies Corp. (United States)
David Draper, Ball Aerospace & Technologies Corp. (United States)
Todd Pett, Ball Aerospace & Technologies Corp. (United States)
Shane Roark, Ball Aerospace & Technologies Corp. (United States)


Published in SPIE Proceedings Vol. 10767:
Remote Sensing and Modeling of Ecosystems for Sustainability XV
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

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