A learning system for terrain recognition

摘要

A system is described which automatically classifies terrain types from photography. Input is conventional panchromatic single-frame aerial photography of the earth. A flying-spot scanner converts this input to a time-varying video signal suitable for processing by the pattern recognition system. Processing consists of a series of analog and digital operations to arrive at a terrain classification based on spatial texture in the region of the input point. A learning strategy enables the system to refine its processing operations in order to improve classification performance with time. Test results are summarized.