ABSTRACT
The analysis of images of the ground taken from aircraft and satellites is of immense importance. This case study describes work using the ADAM neural network aimed at finding way-points, roads, towns and rural areas in infrared line scan images of the ground. The network is capable of on-line, single-pass training and simple computer implementation, making it particularly applicable in image processing tasks. In addition, no image preprocessing is needed, and images may be very large, which makes the approach particularly simple to adopt.
