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Proceedings Paper

Wavelet-based target detection using multiscale directional analysis
Author(s): Bradley J. Chambers; William D. Reynolds; Derrick S. Campbell; Darius K. Fennell; Rashid Ansari
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Paper Abstract

Efficient processing of imagery derived from remote sensing systems has become ever more important due to increasing data sizes, rates, and bit depths. This paper proposes a target detection method that uses a special class of wavelets based on highly frequency-selective directional filter banks. The approach helps isolate object features in different directional filter output components. These components lend themselves well to the application of powerful denoising and edge detection procedures in the wavelet domain. Edge information is derived from directional wavelet decompositions to detect targets of known dimension in electro optical imagery. Results of successful detection of objects using the proposed method are presented in the paper. The approach highlights many of the benefits of working with directional wavelet analysis for image denoising and detection.

Paper Details

Date Published: 9 May 2007
PDF: 10 pages
Proc. SPIE 6566, Automatic Target Recognition XVII, 656608 (9 May 2007); doi: 10.1117/12.720985
Show Author Affiliations
Bradley J. Chambers, ITT Space Systems Division (United States)
William D. Reynolds, ITT Space Systems Division (United States)
Derrick S. Campbell, ITT Space Systems Division (United States)
Darius K. Fennell, ITT Space Systems Division (United States)
Rashid Ansari, Univ. of Illinois/Chicago (United States)


Published in SPIE Proceedings Vol. 6566:
Automatic Target Recognition XVII
Firooz A. Sadjadi, Editor(s)

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