This paper introduces a new framework for point target detection in synthetic aperture radar (SAR) images. We focus on the task of locating reflective small regions using a level-set-based algorithm. Unlike most of the approaches in image segmentation, we address an algorithm that incorporates speckle statistics instead of empirical parameters and also discards speckle filtering. The curve evolves according to speckle statistics, initially propagating with a maximum upward velocity in homogeneous areas. Our approach is validated by a series of tests on synthetic and real SAR images and compared with three other segmentation algorithms, demonstrating that it configures a novel and efficient method for target-detection purpose. © 2009 IEEE.
CITATION STYLE
Marques, R. C. P., de Medeiros, F. N. S., & Ushizima, D. M. (2009). Target detection in SAR images based on a level set approach. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 39(2), 214–222. https://doi.org/10.1109/TSMCC.2008.2006685
Mendeley helps you to discover research relevant for your work.