RT Journal Article
A1 S. Samadi
A1 M. Çetin
A1 M.A. Masnadi-Shirazi

PB iet
T1 Sparse representation-based synthetic aperture radar imaging
JN IET Radar, Sonar & Navigation
VO 5
IS 2
SP 182
OP 193
AB There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying scene. Based on the observation that typical underlying scenes usually exhibit sparsity in terms of such features, this paper presents an image formation method that formulates the SAR imaging problem as a sparse signal representation problem. For problems of complex-valued nature, such as SAR, a key challenge is how to choose the dictionary and the representation scheme for effective sparse representation. Since features of the SAR reflectivity magnitude are usually of interest, the approach is designed to sparsely represent the magnitude of the complex-valued scattered field. This turns the image reconstruction problem into a joint optimisation problem over the representation of magnitude and phase of the underlying field reflectivities. The authors develop the mathematical framework for this method and propose an iterative solution for the corresponding joint optimisation problem. The experimental results demonstrate the superiority of this method over previous approaches in terms of both producing high-quality SAR images and exhibiting robustness to uncertain or limited data.
K1 decision-making tasks
K1 synthetic aperture radar imaging
K1 image reconstruction problem
K1 joint optimisation problem
K1 sparse signal representation problem
K1 image formation method
K1 super-resolution enhancement
K1 iterative solution
K1 feature enhancement
K1 automated target recognition
K1 SAR imaging problem
DO https://doi.org/10.1049/iet-rsn.2009.0235
UL https://digital-library.theiet.org/;jsessionid=gfqki5r8o030r.x-iet-live-01content/journals/10.1049/iet-rsn.2009.0235
LA English
SN 1751-8784
YR 2011
OL EN