Hyperspectral data collection results in huge datasets that need pre‐processing prior to analysis. A review of the pre‐processing techniques identified repetitive procedures with consequently a high potential for automation. Data from different hyperspectral field studies were collected and subsequently used as test sets for the described system. A relational database was utilized to store hyperspectral data in a structured way. Software was written to provide a graphical user interface to the database, pre‐processing and analysis functionality. The resulting system provides excellent services in terms of organised data storage, easy data retrieval and efficient pre‐processing. It is suggested that the use of such a system can improve the productivity of researchers significantly.
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Hueni et al. (2006) studied this question.
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