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Pattern recognition techniques in remote sensing data analysis

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Abstract

This paper discusses several selected topics in decision-theoretic pattern recognition methods and introduces the syntactic approach to pattern recognition in remote sensing problems. The topics discussed are per-field classifications, mode estimation and sequential partitioning, feature selection and estimation of misclassification. The syntactic approach is introduced, and its application to remote sensing problems illustrated.

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  1. School of Electrical Engineering, Purdue University, 47907, West Lafayette, Indiana, USA

    K. S. Fu

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  1. K. S. Fu
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Fu, K.S. Pattern recognition techniques in remote sensing data analysis. Proc. Indian Acad. Sci. (Engg. Sci.) 6, 153–175 (1983). https://doi.org/10.1007/BF02842932

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