Extracting edge histogram detector features from ground penetrating radar data without ground alignment

Joshua Wood; Joseph Wilson; Jeremy Bolton

doi:10.1117/12.919336

10 May 2012 Extracting edge histogram detector features from ground penetrating radar data without ground alignment

Joshua Wood, Joseph Wilson, Jeremy Bolton

Proceedings Volume 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII; 83571W (2012) https://doi.org/10.1117/12.919336
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

When processing ground penetrating radar (GPR) data for the detection of subsurface objects it is common to align the data based on the location of the air-ground interface in order to eliminate the effects of antenna motion. This practice assumes that the ground is mostly flat and that variations in the measured ground locations are primarily due to antenna motion. In practice this assumption is often false so ground alignment will cause true ground contours to be flattened, potentially distorting signatures from subsurface objects. In this paper we investigate extracting edge histogram descriptor (EHD) features from GPR data with varying degrees of alignment: unaligned, fully aligned and aligned only in the downtrack direction, where the effects of antenna motion are most prevalent. One problem with not performing ground alignment is that features generated from the ground surface or subsurface layers that follow the contour of the ground may cause false alarms. To address this problem we also consider employing background subtraction prior to feature extraction on aligned data, independent of the alignment method used for feature extraction. We compare the detection performance of algorithms using each of these feature extraction approaches.

Citation Download Citation

Joshua Wood, Joseph Wilson, and Jeremy Bolton "Extracting edge histogram detector features from ground penetrating radar data without ground alignment", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571W (10 May 2012); https://doi.org/10.1117/12.919336

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available