TR2011-015

Saturation-robust SAR Image Formation


Abstract:

The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. This paper focuses on increasing robustness to data saturation, specifically by optimizing a one-sided quadratic cost function to promote consistency with the received data. We model the SAR acquisition process using a linear function and we present an efficient implementation of this function and its adjoint for use in iterative optimization algorithms. Improved image quality and robustness to saturation are observed in experiments on synthetic images. Preliminary work on controlling azimuth ambiguities and incorporating image models enables saturation-robust reconstruction from satellite SAR data as well.

 

  • Related News & Events

    •  NEWS    ICASSP 2011: 4 publications by Petros T. Boufounos, Zafer Sahinoglu and Shantanu D. Rane
      Date: May 22, 2011
      Where: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
      MERL Contact: Petros T. Boufounos
      Brief
      • The papers "Compressive Sensing for Over-the-Air Ultrasound" by Boufounos, P.T., "Privacy Preserving Probabilistic Inference with Hidden Markov Models" by Pathak, M., Rane, S., Sun, W. and Raj, B., "Saturation-robust SAR Image Formation" by Wei, D. and Boufounos, P.T. and "Scale-Invariant GLRT in Stochastic Partially Homogeneous Environments" by Wang, P., Sahinoglu, Z., Pun, M.-O., Li, H. and Himed, B. were presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
    •