Abstract: A system and method of determining a classification of at least one underwater object is provided. The method includes generating at least one low-resolution imagery of an object from a plurality of frequencies produced by a detection device and extracting at least 5 characteristics of the object within the low-resolution imagery at each of the plurality of frequencies. The method further includes generating at least 15 features from the at least 5 characteristics and classifying the features to determine the identity of the at least one underwater object.

Abstract: A method of fusing outputs from multiple detection/classification (D/C) schemes is provided. Each of a plurality of D/C schemes provides output scores for an area of interest. Each output score corresponds to a detected object at a known location in the area of interest and indicates a degree of confidence with respect to a detection of a target at the known location. Each output score is normalized and then categorized into a group based on the known location associated therewith. The normalized output scores for each group are fused in accordance with a fusion rule.

Abstract: A method of fusing outputs from multiple detection/classification (D/C) schemes is provided. Each of a plurality of D/C schemes provides output scores for an area of interest. Each output score corresponds to a detected object at a known location in the area of interest and indicates a degree of confidence with respect to a detection of a target at the known location. Each output score is normalized and then categorized into a group based on the known location associated therewith. The normalized output scores for each group are fused in accordance with a fusion rule.