Abstract
The analysis of satellite images may evolve from ad hoc methods of utilizing spatial and temporal context to the application of artificial-intelligence-oriented procedures of hierarchical scene analysis. Pattern representations more abstract than Euclidean vector spaces offer some hope of unifying structural and decision-theoretical approaches. The estimation of expected classification error rates is becoming more sophisticated and rigorous, but useful finite-sample results for nonparametric distributions appear unobtainable. Focus on computational complexity allows comparison of algorithms, while software engineering techniques reduce the effort necessary to develop and maintain complex image processing systems. Advances in computer systems architecture, commercial database technology, and man-machine communications should be closely monitored by the remote sensing community.
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