Sparse {Reconstruction} {Techniques} in {Tomographic} {SAR} {Inversion}

Tomographic SAR inversion is essentially a spectral analysis problem. The resolution in the elevation direction depends on the spread of orbit tracks. Since the orbits of modern meter-resolution space-borne SAR systems, such as TerraSAR-X, are tightly controlled, the tomographic elevation resolution is at least an order of magnitude lower than in range and azimuth. Hence, super-resolution reconstruction algorithms are desired. Considering the sparsity of the signal in elevation, here the theory of compressive sensing comes into play. In this paper, recent developments on compressive sensing applied to tomographic SAR inversion are presented: A compressive sensing based algorithm “SL1MMER” was proposed; The ultimate bounds of the technique on localization accuracy and super-resolution power were investigated; the super-resolution capability of SL1MMER is demonstrated using TerraSAR-X real data examples.     «

Tomographic SAR inversion is essentially a spectral analysis problem. The resolution in the elevation direction depends on the spread of orbit tracks. Since the orbits of modern meter-resolution space-borne SAR systems, such as TerraSAR-X, are tightly controlled, the tomographic elevation resolution is at least an order of magnitude lower than in range and azimuth. Hence, super-resolution reconstruction algorithms are desired. Considering the sparsity of the signal in elevation, here the theory...     »

Synthetic aperture radar, elevation direction, tomographic SAR inversion, tomographic elevation resolution, SL1MMER algorithm, spectral analysis problem, super-resolution reconstruction algorithms, Remote sensing, compressed sensing, radar resolution, tomography, Atmospheric modeling, TerraSAR-X, image resolution, signal reconstruction, SL1MMER compressive sensing based algorithm, compressive sensing theory, meter-resolution space-borne SAR systems, orbit tracks, sparse reconstruction techniques, Abstracts, Indexes, sparsity, spaceborne radar, spectral analysis, Image coding, compressive sensing     «

Synthetic aperture radar, elevation direction, tomographic SAR inversion, tomographic elevation resolution, SL1MMER algorithm, spectral analysis problem, super-resolution reconstruction algorithms, Remote sensing, compressed sensing, radar resolution, tomography, Atmospheric modeling, TerraSAR-X, image resolution, signal reconstruction, SL1MMER compressive sensing based algorithm, compressive sensing theory, meter-resolution space-borne SAR systems, orbit tracks, sparse reconstruction techniques...     »