Abstract
This letter presents a wavelength-resolution synthetic aperture radar incoherent change detection method based on image stack, i.e., there are more than one reference or/and surveillance image. Considering image stack in statistical hypothesis test for change detection is expected to result into a simple mathematical expression for implementation and provide better change detection results. As presented in this letter, a statistical hypothesis test is developed on bivariate Gaussian distribution for an image stack of two reference images and one surveillance image. The requirement for the image stack is three images associated with three measurements with no change between two of them. A detection method with simple processing scheme is proposed. The method is experimented with 24 CARABAS data sets. The results indicate that high average detection probability, e.g., 96%, with very low false alarm rate, e.g., only 0.19/km2, is obtained with the proposal.
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