IEEE Geoscience and Remote Sensing Letters · 2015 · 95 citations · 20 references
Natural SciencesGeoinformaticsGeodesyMetrologyRemote SensingInterferometryPhase AnalysisSpatial Density EstimationInterferometric MeasurementMaximum Likelihood EstimatorRadar InterferometrySpatial Density AnalysisTriangulation Algorithms
To improve the spatial density of measurement points of persistent-scatterer interferometry, distributed scatterer (DS) should be considered and processed. An important procedure in DS interferometry is the phase triangulation (PT). This letter introduces two modified PT algorithms (i.e., equal-weighted PT and coherence-weighted PT) and analyzes the mathematical relations between different published PT methods (i.e., the maximum-likelihood phase estimator, least squares estimator, and eigendecomposition-based phase estimators). The analysis shows that the above five PT methods share very similar mathematical forms with different weight values in the estimation procedure.
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Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22.1K citations
<i>Probability, Random Variables, and Stochastic Processes</i>
A. Papoulis, Joseph G. Hoffman · Physics Today · 1967 · 4.1K citations