Maximum utilization of national airspace resources requires the development of systems which provide adverse weather landing guidance and allow for continued operations in low visibility conditions. The overall system, known as an enhanced situation awareness system (ESAS), encompasses a broad range of functions including a forward vision system (FVS). The FVS, the part of ESAS on which the paper focuses, consists of forward-looking, imaging sensors, and associated processors which collectively penetrate the atmospheric conditions. The FVS provides a spectrum of services to the flight crew and the aircraft in general. A series of image processing techniques crucial to FVS operation have been developed and implemented at Honeywell. The techniques fall into three core categories: image enhancement, feature extraction, and object recognition and tracking. In this paper, the issues involved in each category of processing are described, the most promising algorithms are described, and preliminary results of the image processing are presented. The sensor types explored to date include visible band TV, FLIR, and 35 GHz radar; results are shown on data from the visible band and 35 GHz radar imaging sensors.