ARTICLE
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doi:10.20944/preprints202402.1732.v1
Subject:
Biology And Life Sciences,
Forestry
Keywords:
semantic segmentation; forest restoration; aerial images; deep learning; convolutional neural network; U-Net
Online: 29 February 2024 (12:56:51 CET)