The quantity and quality of data collected by military and commercial electro-optic and radar sensors is rapidly increasing. This increase in imagery data has not been accompanied by an increase in the number of image analysts needed to rapidly screen the imagery to locate and identify military targets or other objects of interest. Automatic target recognition (ATR) technology that automates the target detection, classification, and identification process has been a promising technology for at least two decades, and recent advances make the realization of aided target recognition possible. The future military battlespace will be filled with airborne, spaceborne, and land-based sensors observing moving and stationary targets at various locations, from multiple aspects, and at multiple frequencies and wavelengths. Only through the use of computer-assisted data analysis and ATR can the vast amount of data be analyzed within the timelines required by the military. The Defense Advanced Research Projects Agency (DARPA) has a number of programs developing technology to support the exploitation and control of the future battlespace information.