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Datasets will be translated into English at that time.
New tests on more challenging datasets will be performed to further validated the developed algorithms.
These two datasets will be referred to as the Davis and the Metz dataset.
Future studies on larger datasets will be required to validate the conclusions drawn from this analysis.
These questions and the expansion to more datasets will be the focus of future studies.
Furthermore, the experimental results on the datasets will be discussed in this section.
More datasets will be added later, so you might want to hold off on building your lesson plan for now.
To solve this issue, three different datasets will be provided in future editions: training dataset, development dataset, and test dataset.
All datasets will be provided on the University of Wisconsin-Milwaukee (UWM) Digital Commons open access repository.
Available multi-spectral imagery benchmarking datasets will be considered also for further testing, for example the MUULF Gulfport dataset [27].
Two datasets will be used below to show how the program may be used for read-across.
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