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an in situ survey campaign were performed on Venice lagoon to map benthic macro-algae and sea phanerogams distribution.
On MIVIS VIS spectral range images, training areas for benthic macro-algae and sea phanerogams have
been selected by using sea truth data collected by CNR-ISMAR from in situ campaign and periodic area surveys
used in the lagoon by the local authorities. The derived spectral signature has been used to classify the area in order
to produce the maps of the pure and mixture submersed vegetation population. The algorithm applied to the data is
based on the Subpixel Spectral Analytical Process (SSAP) method. The method assumes that the spectrum of a single
pixel is composed of a fraction of the material of interest while the remainder of the observed spectra contains
background materials. In terms of recognition processes the produced maps present a very good agreement with the
sea truth data even though the fraction material expressed in the maps does not represent a quantitative estimation of
the material of interest.
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