Home > Publicações > Using the U-net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images.
Using the U-net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images.
Mapping forest types and tree species at regional scales to provide information for ecologists and forest managers is a new challenge for the remote sensing community. Here, we assess the potential of a U-net convolutional network, a recent deep learning algorithm, to identify and segment (1) natura...
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