Radar target classification using morphological image processing

Julie Ann Jackson; Patrick Brady

doi:10.1117/12.883452

4 May 2011 Radar target classification using morphological image processing

Julie Ann Jackson, Patrick Brady

Proceedings Volume 8051, Algorithms for Synthetic Aperture Radar Imagery XVIII; 805114 (2011) https://doi.org/10.1117/12.883452
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Julie Ann Jackson and Patrick Brady "Radar target classification using morphological image processing", Proc. SPIE 8051, Algorithms for Synthetic Aperture Radar Imagery XVIII, 805114 (4 May 2011); https://doi.org/10.1117/12.883452

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