Generalization of the CoVAmCoh analysis for the interpretation of arbitrary InSAR images

Very high resolution InSAR image pairs have a tremendous content of information compared to a single image. To improve the visualization and the interpretation of InSAR image pairs RGB false color image products are very helpful e.g. the well-known ILU-image (Interferometric Land Use image). In this paper, the CoVAmCoh method which was already introduced in former studies is analyzed with the aim of obtaining a general rule set for visualization independent e.g. of sensor parameters (incidence angle, resolution etc.). CoVAmCoh™ stands for the RGB arrangement of the three layers Coefficient of Variation (CoV), mean intensity (Am²) and the coherence (Coh) of an interferometric SAR image pair. It has the potential for fast extraction of physical scatter characteristics of the scene (e.g. detection of vegetation or areas of changes).