In this thesis, the reconstruction of surface models of city areas by airborne single-pass SAR interferometry is investigated. For layover separation and the fusion of multi-baseline data of multiple aspects two maximum-likelihood-based strategies were developed. Two adaptive filtering approaches for the estimation of the necessary covariance matrices were designed. Using an exemplary millimeterwave dataset acquired from crossing flight trajectories, point clouds with a spatial accuracy of below one meter could be realized.
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In this thesis, the reconstruction of surface models of city areas by airborne single-pass SAR interferometry is investigated. For layover separation and the fusion of multi-baseline data of multiple aspects two maximum-likelihood-based strategies were developed. Two adaptive filtering approaches for the estimation of the necessary covariance matrices were designed. Using an exemplary millimeterwave dataset acquired from crossing flight trajectories, point clouds with a spatial accuracy of below...
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