A statistical model of spatial context is described and procedures for classifying remote sensing data using a context classifier are outlined. Experimental results are presented. Because the computational requirements of the context classifier are very large, its implementation on parallel/pipelined multiprocessor systems is being investigated. Some of the special considerations necessary for such implementations are described, with particular reference to implementation on an array of Control Flexible Processors.-Authors
