Detection of deeply buried non-metal objects by ground penetrating radar using non-negative matrix factorization

Daniel Nabelek; K. C. Ho

doi:10.1117/12.2177481

21 May 2015 Detection of deeply buried non-metal objects by ground penetrating radar using non-negative matrix factorization

Daniel Nabelek, K. C. Ho

Author Affiliations +

Proceedings Volume 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX; 945419 (2015) https://doi.org/10.1117/12.2177481
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

The ground penetrating radar (GPR) signal for a deeply buried non-metal object is weak and often does not have a hyperbolic signature, making it difficult to detect with high confidence. This paper takes a blind source separation approach by using non-negative matrix factorization (NMF) to improve the detection of deeply buried non-metal objects. The proposed approach interprets the GPR signal return as the sum of two independent components from two different sources, the background and the object. NMF enables the separation of the object signal component from the composite and thereby improves the detection performance. Preliminary results from a test site in the United States indicate that the probability of detecting these objects is improved by more than 20% compared to the pre-screener, at a false alarm rate of 0.003/m².

Citation Download Citation

Daniel Nabelek and K. C. Ho "Detection of deeply buried non-metal objects by ground penetrating radar using non-negative matrix factorization", Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 945419 (21 May 2015); https://doi.org/10.1117/12.2177481

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