<p>A dataset containing 3230 samples with 65 hyperspectral bands and 8 classes.</p>

datasets

Feature selection using Sequential Forward Floating feature Selection and Jeffries-Matusita distance. It returns a suboptimal set of features to use for image classification. Reference: Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645, <DOI:10.1109/TGRS.2012.2216272>.

Michele Dalponte

varSel

Sequential Forward Floating Selection using Jeffries-Matusita
Distance

dat function

<p>A data frame with 3230 rows and 66 variables</p>

dat: Hyperspectral data acquired over a forest area

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