Fusion of iECO image descriptors for buried explosive hazard detection in forward-looking infrared imagery

Stanton R. Price; Derek T. Anderson; Timothy C. Havens

doi:10.1117/12.2177459

14 May 2015 Fusion of iECO image descriptors for buried explosive hazard detection in forward-looking infrared imagery

Stanton R. Price, Derek T. Anderson, Timothy C. Havens

Proceedings Volume 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX; 945405 (2015) https://doi.org/10.1117/12.2177459
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Data fusion is a powerful theory that often leads to significant performance gain and/or improved robustness of a given solution. In this article, we explore how fusion can be used to advance our previously established improved Evolutionary COnstructed (iECO) image descriptor framework. The goal of iECO is to learn a diverse set of individuals (variable length chromosome in a genetic algorithm). Each iECO individual encodes a unique composition of different low-level image transformations in the context of a high-level image descriptor. Herein, we investigate multiple kernel (MK) aggregation and MK learning (MKL) for “feature-level” fusion of iECO chromosomes. Specifically, we explore MKL group lasso (MKLGL) and we put forth a new way to directly assign kernel weights from a measure defined on the kernel matrices. The proposed work is presented in the context of buried explosive hazard detection (EHD) in forward looking (FL) imagery. Experiments are reported using receiver operating characteristic (ROC) curves on data from a U.S. Army test site that contains multiple target and clutter types, burial depths and times of day. We demonstrate that MK support vector machine (MKSVM) classification outperform single kernel SVM (SKSVM) classification and our weight assignment procedure generalizes well and outperforms MKLGL for EHD in FLIR.

Citation Download Citation

Stanton R. Price, Derek T. Anderson, and Timothy C. Havens "Fusion of iECO image descriptors for buried explosive hazard detection in forward-looking infrared imagery", Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 945405 (14 May 2015); https://doi.org/10.1117/12.2177459

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