This paper presents five different statistical methods for ground scene prediction (GSP)\nin wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used as a\nreference image in a change detection algorithm yielding a high probability of detection and low\nfalse alarm rate. The predictions are based on image stacks, which are composed of images from the\nsame scene acquired at different instants with the same flight geometry. The considered methods\nfor obtaining the ground scene prediction include (i) autoregressive models; (ii) trimmed mean;\n(iii) median; (iv) intensity mean; and (v) mean................
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