This paper deals with the compensation of phase miscalibration in the general context of tomographic synthetic aperture radar image focusing. Phase errors are typically independent of one acquisition to the other, thus leading to a spreading and defocusing in the multidimensional (3-D, 4-D, and 5-D) imaging space. Coping with this problem in presence of volumetric scattering is generally a complex issue. In this paper, we consider the approach for phase calibration characterized by the advantage, with respect to classical phase calibration algorithms, of not requiring either the identification of a reference target or specific assumptions about the unknown phase function, or a priori information about the terrain topography. The novelty of the proposed phase miscalibration estimation and compensation method is related to its ability to avoid unwanted and uncontrollable vertical shifts in the focused image. The estimation of the calibration phase is performed by optimizing the contrast or the entropy of the vertical profile with the constraint of a zero phase derivative. Such a constraint preserves the output height distribution. Experimental results of simulated and real data are included to demonstrate the effectiveness of the proposed method.
|Number of pages||13|
|Journal||IEEE transactions on geoscience and remote sensing|
|Publication status||Published - Jun 2018|
Aghababaei, H., Fornaro, G., & Schirinzi, G. (2018). Phase calibration based on phase derivative constrained optimization in multibaseline SAR tomography. IEEE transactions on geoscience and remote sensing, 56(11), 6779-6791. https://doi.org/10.1109/TGRS.2018.2843447