Digital spectral analysis: with applications
Digital spectral analysis: with applications
Two-dimensional signal and image processing
Two-dimensional signal and image processing
Fast implementation of two-dimensional APES and CAPON spectral estimators
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
An adaptive filtering approach to spectral estimation and SARimaging
IEEE Transactions on Signal Processing
Computationally efficient two-dimensional Capon spectrum analysis
IEEE Transactions on Signal Processing
Interpolation and extrapolation using a high-resolution discreteFourier transform
IEEE Transactions on Signal Processing
Bandlimited extrapolation using time-bandwidth dimension
IEEE Transactions on Signal Processing
SAR imaging via modern 2-D spectral estimation methods
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Evolution strategies based adaptive Lp LS-SVM
Information Sciences: an International Journal
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In this paper, we present a description of a nonparametric two dimensional (2-D) procedure to extrapolate a signal, an extension of the Adaptive Weighted Norm Extrapolation (AWNE) method, and illustrate its application to SAR image formation. The benefits of the AWNE procedure are shown for synthetic data and for MSTAR data. Once the phase history is recovered, the AWNE method is applied to a subaperture or to the full set of frequency samples to extrapolate them to a larger aperture from which a superresolved complex SAR image is obtained. Use of the 2-D AWNE procedure proves to be superior to its one-dimensional separable version by reducing undesirable effects such as sidelobe interference, and variability in energy of the extrapolated data from row to row and column to column. To assess the performance of AWNE in enhancing prominent scatterers, reducing speckle, and suppressing clutter, we compare the superresolved images to the images formed with the traditional Fourier technique starting from the same phase history data. Fourier images are also compared with superresolved images formed using less data in order to assess the quality of the extrapolation and to quantify the method's ability to recover lost resolution. We illustrate performance by visual comparison and by the use of a geometric constellation of prominent point scatterers of the targets extracted from the images. A brief comparison with the 2-D versions of Capon and the linear prediction methods is illustrated and a hybrid AWNE/Capon approach is proposed.