Target Detection in SAR Images Based on a Level Set Approach

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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 alevel set based algorithm. Unlike most of the approaches in image segmentation, we address an algorithm which 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 ... continued below

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Marques, Regis C.P.; Medeiros, Fatima N.S. & Ushizima, Daniela M. September 1, 2008.

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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 alevel set based algorithm. Unlike most of the approaches in image segmentation, we address an algorithm which 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.

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  • Journal Name: IEEE Transactions on Systems, Man and Cybernetics

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  • Report No.: LBNL-958E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 939133
  • Archival Resource Key: ark:/67531/metadc895625

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  • September 1, 2008

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  • Sept. 27, 2016, 1:39 a.m.

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  • Nov. 8, 2016, 1:17 p.m.

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Marques, Regis C.P.; Medeiros, Fatima N.S. & Ushizima, Daniela M. Target Detection in SAR Images Based on a Level Set Approach, article, September 1, 2008; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc895625/: accessed December 10, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.