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SAR data collection and processing requirements for high quality coherent change detection

Coherent Change Detection (CCD) is a technique for observing very subtle changes between two Synthetic Aperture Radar (SAR) images. It is an Interferometric processing technique that measures the coherence between two images, and denotes 'change' where coherence is not observed, and 'no change' where coherence is observed. Consequently, the strategy must be to form both images with as much initial coherence as possible, and then see where in spite of our best efforts coherence cannot be achieved. Many things contribute to destroying coherence, but we want to eliminate all sources except for temporal change in the scene being imaged itself. This requires that a number of variables in the data collection be well controlled, and that the processing must be adapted to mitigate the effects of residual imperfections to achieve maximum coherence. It must be emphasized that the coherence calculation, that is, calculating the actual CCD product from two images is the easy part. The hard part is making sure that the two input images have the underlying characteristics to yield a quality result. The purpose of this paper is to discuss "What it takes to get good CCD results."