Abstract: A method of object detection in an image uses a background anomaly approach that searches for anomalies of a particular size and shape that are distinguishable from the image's local background. Included is a geometric classifier used to distinguish regularly-shaped objects from irregularly-shaped objects.

Abstract: An aim verification method and system utilize an imaging lidar that transs a first beam of radiation within the imaging lidar's field of view. Reflected backscattered energy associated with the first beam within the field of view increases in an area thereof when a target is present therein. A radiation source is coupled to a gun and transmits a second beam of radiation in line with the aimpoint of the gun towards the area of increased reflected backscattered energy associated with the first beam. The second beam has a greater energy density than the first beam and has a cross-section that is smaller than the target. An energy detector is used to sense the reflected backscattered energy associated with the second beam. The gun is aimed at the target when the reflected backscattered energy associated with the second beam is greatest in the area of the field of view of increased reflected backscattered energy associated with the first beam.