During aerial orbital reconnaissance, a sensor system is mounted on an airborne platform for imaging a region on the
ground. The latency between the image acquisition and delivery of information to the end-user is critical and must be
minimized. Due to fine ground pixel resolution and a large field-of-view for wide-area surveillance applications, a
massive volume of data is gathered and imagery products are formed using a real-time multi-processor system. The
images are taken at oblique angles, stabilized and ortho-rectified. The line-of-sight of the sensor to the ground is often
interrupted by terrain features such as mountains or tall structures as depicted in Figure1. The ortho-rectification process
renders the areas hidden from the line-of sight of the sensor with spurious information. This paper discusses an approach
for addressing terrain masking in size, weight, and power (SWaP) and memory-restricted onboard processing systems.