Simulation research of parametric methods for multi-baseline SAR tomography

Multi-baseline SAR tomography is an extension of SAR interferometry. It uses multi-baseline data to obtain the distribution of scatterers along the height direction and realize three-dimensional imaging of the investigated scene. The parametric method can be used to realize SAR tomography. Super-resolution method based on modern spectrum analysis and inverse processing with singular values decomposition (SVD) are the main algorithms of parametric method. We analyze the principle of multi-baseline SAR tomography. The steps of the two algorithms are introduced, and the imaging results and efficiencies of the two algorithms are compared. We simulate the two algorithms with spaceborne SAR parameters, and get the tomographic images of the investigated targets.