Deep neural network regression for normalized digital surface model generation with Sentinel-2 imagery
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) 16:8508-8519. DOI: 10.1109/JSTARS.2023.3297710
- Ereignis
-
Veröffentlichung
- (wo)
-
Würzburg
- (wer)
-
Universität Würzburg
- (wann)
-
2024
- Urheber
-
Müller, Konstantin
Leppich, Robert
Geiß, Christian
Borst, Vanessa
Pelizari, Patrick Aravena
Kounev, Samuel
Taubenböck, Hannes
- DOI
-
10.1109/JSTARS.2023.3297710
- URN
-
urn:nbn:de:bvb:20-opus-349424
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Müller, Konstantin
- Leppich, Robert
- Geiß, Christian
- Borst, Vanessa
- Pelizari, Patrick Aravena
- Kounev, Samuel
- Taubenböck, Hannes
- Universität Würzburg
Entstanden
- 2024
Ähnliche Objekte (12)
Comparison of Masking Algorithms for Sentinel-2 Imagery
Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning
A novel method for automated supraglacial lake mapping in Antarctica using Sentinel-1 SAR imagery and deep learning
Automatic Grassland Cutting Status Detection in the Context of Spatiotemporal Sentinel-1 Imagery Analysis and Artificial Neural Networks
Pan-european seasonal cloudless mosaic based on Sentinel-2 imagery
On-line continuous-time music mood regression with deep recurrent neural networks
3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
The neural construction of imagery-rich mental events
Comparison of Masking Algorithms for Sentinel-2 Imagery
Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning
A novel method for automated supraglacial lake mapping in Antarctica using Sentinel-1 SAR imagery and deep learning
Automatic Grassland Cutting Status Detection in the Context of Spatiotemporal Sentinel-1 Imagery Analysis and Artificial Neural Networks
Pan-european seasonal cloudless mosaic based on Sentinel-2 imagery
On-line continuous-time music mood regression with deep recurrent neural networks
3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
The neural construction of imagery-rich mental events
Comparison of Masking Algorithms for Sentinel-2 Imagery
Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning
A novel method for automated supraglacial lake mapping in Antarctica using Sentinel-1 SAR imagery and deep learning
Automatic Grassland Cutting Status Detection in the Context of Spatiotemporal Sentinel-1 Imagery Analysis and Artificial Neural Networks
Pan-european seasonal cloudless mosaic based on Sentinel-2 imagery
On-line continuous-time music mood regression with deep recurrent neural networks
3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery