Detecting targets in SAR images: A machine learning approach

  • Qi Zhang
  • Zoran Duric
  • Ryszard S. Michalski
Poster Session I
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1351)


This paper describes a novel application of the MIST methodology to target detection in SAR images. Specifically, a polarimetric whitening filter and a constant false alarm rate detector are used to preprocess a SAR image; then the AQ15c learning program is applied to learn and detect targets. Encouraging and impressive experimental results are provided.


Learning in vision target detection in SAR images 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Qi Zhang
    • 1
  • Zoran Duric
    • 1
  • Ryszard S. Michalski
    • 1
    • 2
  1. 1.George Mason UniversityFairfaxUSA
  2. 2.GMU Departments of Computer Science and Systems Engineering, and the Institute of Computer SciencesPolish Academy of SciencePoland

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