1. A method of identifying one or more features represented in a plurality of sensor acquired data sets, the method comprising: determining a first probability of the identity of the one or more features from a first one of the data sets; determining a second probability of the identity of the one or more features from a second one of the data sets; fusing the determined first and second probabilities to provide a fused probability; after the fusing: determining p(n); fusing p(fused n-2 ) with p(n) to provide p(fused n-1 ), where p(n) is a probability of the one or more features being present in an n th one of the images, and p(fused n-2 ) and p(fused n-1 ) are (n−2) th and (n−1) th fused probabilities, respectively; and repeating the determining of p(n) and fusing p(fused n-2 ) with p(n) for m times, where m=n−2, and n is an integer greater than 2; and identifying the one or more features from the fused probability, wherein the identifying uses (fused n-1 ).