The proliferation of a number of similar image processing ground stations has resulted in an array of image processing hardware with diverse logistics, training, and reporting requirements. Contemporary system approaches lack the flexibility to accommodate changing sensor suites and to meet future intelligence timeline requirements. System concepts are currently being evolved under ongoing study efforts, with the objective of resolving these issues. As discussed in this paper, architectures are being considered which are reconfigurable and which will have the flexibility for processing a wide range of sensor types including Synthetic Aperture Radar (SAR), Infrared (IR), and Visual. Through commonality and modularity, a common base of hardware/software will satisfy a multitude of image exploitation needs, and as a result, should be much more cost-effective and simpler to support logistically. The application of advanced image processing techniques, including automatic target classificaton, pattern recognition, and automatic point position data base retrieval techniques, will offer significant improvements in system manning requirements, throughput, target location accuracy, and result in more consistent, expedient target reporting. Utilization of VLSI technology for processor implementation will result in major size reductions, thus improving transportability for rapid deployment.