Pattern Recognition in Remote Sensing of the Earth's Resources

This paper reviews some recent topics in pattern recognition applied to remote sensing problems. In decision-theoretic pattern recognition, four topics are presented: per-field classifications, cluster analysis and sequential partitioning procedure, feature selection, and estimation of misclassification. The syntactic approach to pattern recognition is then introduced and its application to remote sensing problems illustrated. Problems for further research are discussed.