Abstract:
Synthetic aperture radar tomography (TomoSAR) obtains three-dimensional reflectivity of scenes by extending the aperture principle into the elevation direction, and thus ...Show MoreMetadata
Abstract:
Synthetic aperture radar tomography (TomoSAR) obtains three-dimensional reflectivity of scenes by extending the aperture principle into the elevation direction, and thus solves the layover problem. Because the scatters are sparse along elevation, compressed sensing methods are introduced into TomoSAR. However, conventional compressed sensing methods based on discretized grids suffer from off-grid effect. As a method with continuous dictionary, reweighted atomic norm minimization (RANM) can avoid this problem completely. In this paper, we propose an algorithm for SAR tomographic imaging based on reweighted atomic norm minimization to eliminate off-grid effect and locate scatters more accurately. The performance of the proposed method is verified by simulated data.
Date of Conference: 11-16 July 2021
Date Added to IEEE Xplore: 12 October 2021
ISBN Information: