This thesis presents nonlocal filtering algorithms for single and multibaseline SAR interferometry. The developed single baseline nonlocal filter adaptively selects key filtering parameters, making it applicable to a wide range of terrain. Applying it to TerraSAR/TanDEM-X interferograms yields digital elevation models of higher resolution and accuracy than possible with conventional filters. In addition a multi-baseline nonlocal filtering framework, which exploits the temporal domain in SAR image stacks, is proposed.
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This thesis presents nonlocal filtering algorithms for single and multibaseline SAR interferometry. The developed single baseline nonlocal filter adaptively selects key filtering parameters, making it applicable to a wide range of terrain. Applying it to TerraSAR/TanDEM-X interferograms yields digital elevation models of higher resolution and accuracy than possible with conventional filters. In addition a multi-baseline nonlocal filtering framework, which exploits the temporal domain in SAR imag...
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