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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 17 — Jun. 10, 2011
  • pp: 2744–2751

Kernel wavelet-Reed–Xiaoli: an anomaly detection for forward-looking infrared imagery

Asif Mehmood and Nasser M. Nasrabadi  »View Author Affiliations


Applied Optics, Vol. 50, Issue 17, pp. 2744-2751 (2011)
http://dx.doi.org/10.1364/AO.50.002744


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Abstract

This paper describes a new kernel wavelet-based anomaly detection technique for long-wave (LW) forward-looking infrared imagery. The proposed approach called kernel wavelet-Reed–Xiaoli (wavelet-RX) algorithm is essentially an extension of the wavelet-RX algorithm (combination of wavelet transform and RX anomaly detector) to a high-dimensional feature space (possibly infinite) via a certain nonlinear mapping function of the input data. The wavelet-RX algorithm in this high-dimensional feature space can easily be implemented in terms of kernels that implicitly compute dot products in the feature space (kernelizing the wavelet-RX algorithm). In the proposed kernel wavelet-RX algorithm, a two-dimensional wavelet transform is first applied to decompose the input image into uniform subbands. A number of significant subbands (high-energy subbands) are concatenated together to form a subband-image cube. The kernel RX algorithm is then applied to this subband-image cube. Experimental results are presented for the proposed kernel wavelet-RX, wavelet-RX, and the classical constant false alarm rate (CFAR) algorithm for detecting anomalies (targets) in a large database of LW imagery. The receiver operating characteristic plots show that the proposed kernel wavelet-RX algorithm outperforms the wavelet-RX as well as the classical CFAR detector.

© 2011 Optical Society of America

OCIS Codes
(040.1880) Detectors : Detection
(040.2480) Detectors : FLIR, forward-looking infrared
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(100.7410) Image processing : Wavelets
(100.4994) Image processing : Pattern recognition, image transforms

ToC Category:
Remote Sensing and Sensors

History
Original Manuscript: October 26, 2010
Revised Manuscript: February 23, 2011
Manuscript Accepted: March 7, 2011
Published: June 9, 2011

Citation
Asif Mehmood and Nasser M. Nasrabadi, "Kernel wavelet-Reed–Xiaoli: an anomaly detection for forward-looking infrared imagery," Appl. Opt. 50, 2744-2751 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-17-2744

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