121 / 2019-12-14 17:36:00
An Improved Moving Ship Detection Approach Based on Adaptive Spatial Filtering and Local Image Entropy in ATI-SAR Systems
Draft Rejected
Min Tian / Xi'an Institution of Space Radio Technology, China
In this paper, an approach for along-track interferogram(ATI)-synthetic aperture radar (SAR) moving ship detection based on adaptive spatial filtering and local image entropy is proposed. Firstly, the primary potential targets on the sea surface are detected by using the ATI detector, followed with the pixel clustering to acquire the images of each potential targets. Then, an adaptive spatial filter is designed to suppress the sea clutter and optimize the output of those potential targets. After that, local image entropy for each target is computed in the filtered image. Then, it is utilized to accurately detect the moving targets. Experimental results on dual-channel dataset collected by the satellite TerraSAR-X demonstrate the effectiveness of the proposed approach.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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