Computer Science – Performance
Scientific paper
Mar 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.526e..19c&link_type=abstract
Proceedings of CEOS Working Group on Calibration / Validation - SAR WORKSHOP (ESA SP-526). 24-26 September 2002, London, United
Computer Science
Performance
Scientific paper
In this paper we consider the effects of polarimetric calibration errors on the performance of model based parameter estimation algorithms in forestry applications. In particular we concentrate on the use of Polarimetric Interferometric SAR (POLInSAR) for forest height and ground topography estimation. We first introduce a general matrix formulation of POLInSAR and then show how calibration errors bias the coherence estimation. We then show that in the case where fully polarimetric data is available then the optimum coherences remain invariant to a large class of calibration errors. We conclude therefore that calibration errors are more serious for systems with only partial polarization coverage. We illustrate the techniques and demonstrate the magnitude of possible errors by artificially adding calibration errors to coherent SAR simulation data.
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