Inversion of residual errors to improve insar data acquisition, processing and interpretation

The quality of the InSAR products has improved remarkably during the past few years. However, in order to further enhance the accuracy of the InSAR products and obtain results close to the real parameters further tuning of the InSAR processing is needed. In this work efforts have been made to improve upon the interpretation and analysis of the repeat pass space borne InSAR system data by quantifying and inverting the error sources. In an innovative way, error evaluation at every important step in the InSAR signal processing has been carried out and small algorithms have been incorporated to inverse the errors, thus fine tuning the InSAR signal processing.