Share Email Print
cover

Proceedings Paper

Operator based integration of information in multimodal radiological search mission with applications to anomaly detection
Author(s): J. Benedetto; A. Cloninger; W. Czaja; T. Doster; K. Kochersberger; B. Manning; T. McCullough; M. McLane
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Successful performance of radiological search mission is dependent on effective utilization of mixture of signals. Examples of modalities include, e.g., EO imagery and gamma radiation data, or radiation data collected during multiple events. In addition, elevation data or spatial proximity can be used to enhance the performance of acquisition systems. State of the art techniques in processing and exploitation of complex information manifolds rely on diffusion operators. Our approach involves machine learning techniques based on analysis of joint data- dependent graphs and their associated diffusion kernels. Then, the significant eigenvectors of the derived fused graph Laplace and Schroedinger operators form the new representation, which provides integrated features from the heterogeneous input data. The families of data-dependent Laplace and Schroedinger operators on joint data graphs, shall be integrated by means of appropriately designed fusion metrics. These fused representations are used for target and anomaly detection.

Paper Details

Date Published: 29 May 2014
PDF: 9 pages
Proc. SPIE 9073, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XV, 90731A (29 May 2014); doi: 10.1117/12.2050721
Show Author Affiliations
J. Benedetto, Univ. of Maryland, College Park (United States)
A. Cloninger, Univ. of Maryland, College Park (United States)
W. Czaja, Univ. of Maryland, College Park (United States)
T. Doster, Univ. of Maryland, College Park (United States)
K. Kochersberger, Virginia Polytechnic Institute and State Univ. (United States)
B. Manning, Univ. of Maryland, College Park (United States)
T. McCullough, Remote Sensing Lab. (United States)
M. McLane, Remote Sensing Lab. (United States)


Published in SPIE Proceedings Vol. 9073:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XV
Augustus Way Fountain, Editor(s)

© SPIE. Terms of Use
Back to Top