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Proceedings Paper

Radar target classification using morphological image processing
Author(s): Julie Ann Jackson; Patrick Brady
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Paper Abstract

Morphological operators are commonly used in image processing. We study their suitability for use in synthetic aperture radar (SAR) image enhancement and target classification. Morphological operations are nonlinear operators defined by set theory. The dilation and erosion operations grow or shrinkimage features that match to a predefined structuring element. The opening and closing operations are combinations of successive dilation and erosion. These morphological operations can visually emphasize scattering of interest in an image. We investigate whether these operations can also improve target classification performance. The operators are nonlinear and image dependent; thus we cannot predict performance without empirical testing. We test and evaluate the morphological operators using simulated and measured SAR data. Results show the dilation operator is most promising for increasing match score and separation between classes in the decision space.

Paper Details

Date Published: 4 May 2011
PDF: 12 pages
Proc. SPIE 8051, Algorithms for Synthetic Aperture Radar Imagery XVIII, 805114 (4 May 2011); doi: 10.1117/12.883452
Show Author Affiliations
Julie Ann Jackson, Air Force Institute of Technology (United States)
Patrick Brady, Air Force Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8051:
Algorithms for Synthetic Aperture Radar Imagery XVIII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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