Temporal averaging of multitemporal ERS-1/2 Tandem INSAR data

In this study the potential of multitemporal ERS-1/2 SAR Tandem interferometry in land-use classification was investigated. Emphasis was on classifying land-use near urban centres, where the land-use features are typically small and high resolution is therefore desired. A high-quality orthorectified multitemporal interferometric dataset was created for further study. Temporal averaging, i.e. averaging over several intensity and coherence images reduces noise and increased the amount of discernible features without degrading the image resolution. At this stage of the study only visual classification has been done, temporal averaging was found to increase the number of visually discernible classes in the imagery