Abstract: A system and method for generating enhanced images of a target area using projection data obtained using an electromagnetic radiation source, the method comprising forming an initial aperture of data points containing positional information of the transmitter and receiver of the electromagnetic radiation; and an associated data record; randomly removing data points from the initial aperture to form subapertures with randomly missing data points; creating a subset of data points from each of the plurality of subapertures; the subsets containing data points containing image data for portions of the target area which are the same or overlapping; comparing the subsets of data points to determine variations in the data points indicative of transient data; based upon the comparison between overlapping subsets of image data, determining whether the subsets of data points comprise image data relating to physical objects or noise.

Abstract: A system of recovering information wide band signal comprising a receiver(s) for receiving data signal responses from a target area; the received data signal responses having information missing at a plurality of frequencies; at least one processor for recovery of data from the data signal responses operatively connected to the receiver(s); a first memory comprising time-shifted responses based upon the wide band signal response, a second memory comprising a plurality of spectrally filtered time-shifted responses; whereby the first and second memories operate to provide data to the at least one processor compensate for the information missing at the plurality of frequencies.

Abstract: A system and method for generating enhanced images of a target area using projection data obtained using an electromagnetic radiation source, the method comprising forming an initial aperture of data points containing positional information of the transmitter and receiver of the electromagnetic radiation; and an associated data record; randomly removing data points from the initial aperture to form subapertures with randomly missing data points; creating a subset of data points from each of the plurality of subapertures; the subsets containing data points containing image data for portions of the target area which are the same or overlapping; comparing the subsets of data points to determine variations in the data points indicative of transient data; based upon the comparison between overlapping subsets of image data, determining whether the subsets of data points comprise image data relating to physical objects or noise.

Abstract: A method of identifying an object in an image includes selecting a portion of a target image of a target object, selecting a corresponding window portion of a reference image of a reference object from at least one reference image of at least one reference object, the position of the window portion within the reference image corresponding to the position of the portion of the target image within the target image, generating a reference set including a plurality of different portions of the reference image from within the window portion, determining a weighted combination of the plurality of different portions from the reference set approximating the portion of the target image, and determining whether the target object matches the reference object based on the weighted combination.