TITLE

Passive standoff detection of RDX residues on metal surfaces via infrared hyperspectral imaging

AUTHOR(S)
Blake, Thomas A.; Kelly, James F.; Gallagher, Neal B.; Gassman, Paul L.; Johnson, Timothy J.
PUB. DATE
September 2009
SOURCE
Analytical & Bioanalytical Chemistry;Sep2009, Vol. 395 Issue 2, p337
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Hyperspectral images of galvanized steel plates, each containing a stain of cyclotrimethylenetrinitramine (RDX), were recorded using a commercial long-wave infrared imaging spectrometer. Demonstrations of passive RDX chemical detection at areal dosages between 16 and 90 µg/cm2 were carried out over practical standoff ranges between 14 and 50 m. Anomaly and target detection algorithms were applied to the images to determine the effect of areal dosage and sensing distance on detection performance for target RDX. The anomaly detection algorithms included principal component analysis, maximum autocorrelation factors, and principal autocorrelation factors. Maximum difference factors and principal difference factors are novel multivariate edge detection techniques that were examined for their utility in detection of the RDX stains in the images. A target detection algorithm based on generalized least squares was applied to the images, as well, to see if the algorithm can identify the compound in the stains on the plates using laboratory reflection spectra of RDX, cyclotetramethylenetetranitramine (HMX), and 2,4,6-trinitrotoluene (TNT) as the target spectra. The algorithm could easily distinguish between the nitroaromatic (TNT) compound and the nitramine (RDX, HMX) compounds, and, though the distinction between RDX and HMX was less clear, the mean weighted residuals identified RDX as the stain on the plate. Improvements that can be made in this detection technique are discussed in detail. As expected, it was found that detection was best for short distances and higher areal dosages. However, the target was easily detected at all distances and areal dosages used in this study.
ACCESSION #
43707192

 

Related Articles

  • NUC Algorithm for Correcting Gain and Offset Non-uniformities. Goyal, Parul // International Journal of Computer Science Engineering & Technolo;Mar2011, Vol. 1 Issue 2, p70 

    This paper describes a model for gain and offset non-uniformities and correction algorithm for non-uniformities. The infrared sensor model determines the number of photoelectrons generated from total incident flux and relates these electrons with integration time. It includes gain and offset...

  • The Numerical Synthesis of a Radar Signal Based on Iterative Method. Lesnik, C.; Kawalec, A.; Szugajew, M. // Acta Physica Polonica, A.;Nov2011, Vol. 120 Issue 5, p693 

    This paper presents the impact of numerical methods used to solve the problem of synthesis of signals modulated in frequency with an autocorrelation function that implements an optimal approximation to a given autocorrelation function. After theoretical introduction an algorithm of frequency...

  • Molecular dynamics algorithm for multiple time scales: Systems with disparate masses. Tuckerman, Mark E.; Berne, Bruce J.; Rossi, Angelo // Journal of Chemical Physics;1/15/1991, Vol. 94 Issue 2, p1465 

    A frequently encountered problem in molecular dynamics is how to treat the long times that are required to simulate condensed systems consisting of mixtures of light and heavy particles. Standard methods require the choice of time step sufficiently small to guarantee stable solution for the low...

  • Linearization of logical functions defined by a set of orthogonal terms. II. Algorithmic aspects. Keren, O.; Levin, I.; Stankovič, R. // Automation & Remote Control;Apr2011, Vol. 72 Issue 4, p818 

    In this article, the linearization-based approach was extended in order to work for the functions defined by the orthogonal terms and not only the truth tables or the decision diagrams. The article proposes a method for calculation and compact representation of the autocorrelation function for...

  • A message from the guest editor. Vallejos, Ronny O. // Chilean Journal of Statistics (ChJS);2011, Vol. 2 Issue 2, p1 

    An introduction is presented in which the editor discusses various reports within the issue on topics including positive spatial autocorrelation, simulated annealing and hybrid genetic algorithm.

  • Recent Advances in Fragment-Based QSAR and Multi-Dimensional QSAR Methods. Myint, Kyaw Zeyar; Xiang-Qun Xie // International Journal of Molecular Sciences;Oct2010, Vol. 11 Issue 10, p3846 

    This paper provides an overview of recently developed two dimensional (2D) fragment-based QSAR methods as well as other multi-dimensional approaches. In particular, we present recent fragment-based QSAR methods such as fragment-similarity-based QSAR (FS-QSAR), fragment-based QSAR (FB-QSAR),...

  • A Modified Harris Corner Detection for Breast IR Image. Chia-Yen Lee; Hao-Jen Wang; Chung-Ming Chen; Ching-Cheng Chuang; Yeun-Chung Chang; Nien-Shiang Chou // Mathematical Problems in Engineering;2014, p1 

    Harris corner detectors, which depend on strong invariance and a local autocorrelation function, display poor detection performance for infrared (IR) images with low contrast and nonobvious edges. In addition, feature points detected by Harris corner detectors are clustered due to the numerous...

  • Sensor Non Uniformity Correction Algorithms and its Real Time Implementation for Infrared Focal Plane Array-based Thermal Imaging System. Kumar, Ajay // Defence Science Journal;Nov2013, Vol. 63 Issue 6, p589 

    The advancement in infrared (IR) detector technologies from 1st to 3rd generation and beyond has resulted in the improvement of infrared imaging systems due to availability of IR detectors with large number of pixels, smaller pitch, higher sensitivity and large F-number. However, it also results...

  • Quick Goal Seeking Algorithm for Frontier based Robotic Navigation. Vaisakh V. P. // International Journal of Computer Applications;Aug2014, Vol. 100, p1 

    There arises situations where an autonomous robot needs to navigate to a target location and no information is available about the terrain. Frontier based navigation is one of the most effi- cient methods of exploration and navigation for such situations. In a frontier based strategy, the robot...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics