LIU Kang, LIAO Mingsheng, Timo Balz. High Resolution 3D Tomographic SAR with Compressive Sensing[J]. Geomatics and Information Science of Wuhan University, 2012, 37(12): 1456-1459.
Citation: LIU Kang, LIAO Mingsheng, Timo Balz. High Resolution 3D Tomographic SAR with Compressive Sensing[J]. Geomatics and Information Science of Wuhan University, 2012, 37(12): 1456-1459.

High Resolution 3D Tomographic SAR with Compressive Sensing

  • In 2D SAR imaging,the ambiguity problem is hindering the SAR image interpretation.A new method of compressive sensing(CS) is used to solve the spectral analysis problem in SAR tomography for the first time.The signal reconstruction is demonstrated using simulations and TerraSAR-X spotlight data of Berlin.TomoSAR with CS has huge potential,because not only multiple scatterers inside one resolution cell can be separated,the elevation positions and height of scatters can be accurately measured in the reflectivity slice,but also CS is more robust to noise,has lower computational effort and use less data.
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