Comparing UNet and HRNet for Geomorphic Feature Extraction from Digital Terrain Model-Derived Land Surface Parameters
Behnam Solouki, Aaron E. Maxwell
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SegFormer and SegFormer-UNet for anthropogenic geomorphic feature extraction from land surface parameters
Three architectures for pixel-level extraction of features from light detection and ranging (lidar)-derived land surface parameters (LSPs) are compared: SegUNet and the UNet typically achieve the best precision and recall balance and the smoothest optimization, and UNet-style architectures with CNN-based decoders gener...
Sarah Farhadpour, Aaron E. Maxwell, Behnam Solouki
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