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Pattern recognition: a potential tool for data analysis in atmospheric laser spectroscopy

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Abstract

The problem of pattern recognition is introduced and several major techniques in statistical pattern recognition are described. Data analysis in atmospheric laser spectroscopy could be viewed as a pattern recognition problem when the exact functional relationships between various atmospheric situations and spectral measurements are unknown. This paper tries to illustrate the use of pattern recognition as a potential tool to solve this class of data analysis problems.

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Authors and Affiliations

  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: a potential tool for data analysis in atmospheric laser spectroscopy. Opt Quant Electron 8, 169–183 (1976). https://doi.org/10.1007/BF00619442

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  • DOI: https://doi.org/10.1007/BF00619442

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