Exploiting "mineness" for scatterable minefield detection

Anh Trang; Sanjeev Agarwal; Thomas Broach; Thomas Smith

doi:10.1117/12.779585

29 April 2008 Exploiting "mineness" for scatterable minefield detection

Anh Trang, Sanjeev Agarwal, Thomas Broach, Thomas Smith

Proceedings Volume 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII; 695317 (2008) https://doi.org/10.1117/12.779585
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In a typical minefield detection problem, the minefield decision is based on the number of detected targets in a given field segment. The detected target locations are obtained by an anomaly detector, such as the RX, using constant target rate (CTR) or constant false alarm rate (CFAR) thresholding. Specific shape and spectral features at the detection locations are used to assign "mineness" or "non-mineness" measures to the detections, which are further used for false alarm mitigation (FM). The remaining detections after FM are used to assign a minefield metric based on a spatial point process (SPP) formulation. This paper investigates how this "mineness" attribute of the detected targets can be exploited to improve the performance of scatterable minefield detection over and above that which is possible by FM. The distribution of the detections in the segment is formulated as a marked point process (MPP), and the minefield decision is based on the log-likelihood ratio test of a binary hypothesis problem. An elegant, linear complexity algorithm is developed to maximize this log-likelihood ratio. An iterative expectation maximization algorithm is used to estimate the unknown probability of the detection of mines. The minefield detection performance, based on SPP with false alarm mitigation and MPP formulation under both CTR and CFAR thresholding methods, is compared using thousands of simulated minefields and background segments.

Citation Download Citation

Anh Trang, Sanjeev Agarwal, Thomas Broach, and Thomas Smith "Exploiting "mineness" for scatterable minefield detection", Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 695317 (29 April 2008); https://doi.org/10.1117/12.779585

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