A standard U-Net with dropout and Adam is trained on 5,000 satellite landform images, yielding Dice 69.62%, but the paper provides no data, code, or held-out evaluation and overstates its comparison to prior work.
In: 2021 28th Conference of Open Innovations As- sociation (FRUCT), pp
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Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture
A standard U-Net with dropout and Adam is trained on 5,000 satellite landform images, yielding Dice 69.62%, but the paper provides no data, code, or held-out evaluation and overstates its comparison to prior work.