Maximum Likelihood Estimation For SAR Interferometry

@inproceedings{Seymour2004MaximumLE,
  title={Maximum Likelihood Estimation For SAR Interferometry},
  author={Sabine Seymour and Ian G. Cumming},
  year={2004}
}
Synthetic Aperture Radar (SAR) interferometry (InSAR) uses phase differences between overlapping SAR images to estimate terrain height and terrain height changes. In addition, the coherence magnitude between the images is often used as a measure of the quality of the data and the processing. By modeling the SAR image data as independent circular Gaussian random variates, we develop the maximum likelihood (ML) estimates for interferogram phase, coherence magnitude, and the variance of the… CONTINUE READING
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