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The corresponding repository for the paper "Deep Neural Network Regression for Normalized Digital Surface Model Generation With Sentinel-2 Imagery" 📄

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Deep Neural Network Regression for Digital Surface Model Generation with Sentinel-2 Imagery

This is the code of the paper "Deep Neural Network Regression for Digital Surface Model Generation with Sentinel-2 Imagery". The repository contains all three model variants (branches) of U-Net (V1-Baseline, V2-Multiscaled and V3-Attention) and our model for comparison, Adabins, in the within the four branches including the all scripts supporting the network regarding data preparation or postprocessing. Please note, that V3-Attention is refered with a v4 suffix in the files. The finished paper can be found here: https://ieeexplore.ieee.org/document/10189905

Kind regards,

Konstantin Müller, Robert Leppich, Christian Geiß, Vanessa Borst, Patrick Aravena Pelizari, Samuel Kounev and Hannes Taubenböck

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The corresponding repository for the paper "Deep Neural Network Regression for Normalized Digital Surface Model Generation With Sentinel-2 Imagery" 📄

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