Title :
Synthetic aperture radar imaging pulses
Author_Institution :
Univ. of Edinburgh, Edinburgh, UK
fDate :
6/1/2012 12:00:00 AM
Abstract :
In our work we have demonstrated how techniques that are used to compute fast back-projections can be used in f1 norm regularized LS-based algorithms to make them computationally feasible. The motivation of f1 norm regularization is to promote sparsity in the SAR image where image sparsity is the number of non-zero elements directly in the SAR image or the SAR image projected onto a basis; e.g., a wavelet basis.
Keywords :
least squares approximations; optimisation; radar imaging; synthetic aperture radar; LS-based algorithms; SAR image; f1 norm regularization; fast back-projection computation; image sparsity; least-squares optimisation problem; nonzero elements; synthetic aperture radar imaging pulses; Approximation algorithms; Chirp modulation; Image processing; Optical transmitters; Pulse power systems; Radar remote sensing; Remote sensing; Synthetic aperture radar;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
DOI :
10.1109/MAES.2012.6328551