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

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

In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution surface models are precious, as they can provide detailed information for a specific area. However, measurements with a high resol...

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Bibliographic Details
Main Authors: Konstantin Muller, Robert Leppich, Christian Geis, Vanessa Borst, Patrick Aravena Pelizari, Samuel Kounev, Hannes Taubenbock
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
multiscale encoder
sentinel
surface model
Online Access:https://ieeexplore.ieee.org/document/10189905/

Internet

https://ieeexplore.ieee.org/document/10189905/

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