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David Malmgren-Hansen
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2020 – today
- 2021
- [j3]David Malmgren-Hansen, Leif Toudal Pedersen, Allan Aasbjerg Nielsen, Matilde Brandt Kreiner, Roberto Saldo, Henning Skriver, John Lavelle, Jørgen Buus-Hinkler, Klaus A. Harnvig Krane:
A Convolutional Neural Network Architecture for Sentinel-1 and AMSR2 Data Fusion. IEEE Trans. Geosci. Remote. Sens. 59(3): 1890-1902 (2021) - [i5]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Leif Toudal Pedersen:
Explainability in CNN Models By Means of Z-Scores. CoRR abs/2102.05874 (2021) - 2020
- [j2]David Malmgren-Hansen, Thomas Sohnesen, Peter Fisker, Javier Baez:
Sentinel-1 Change Detection Analysis for Cyclone Damage Assessment in Urban Environments. Remote. Sens. 12(15): 2409 (2020) - [i4]Wail Mustafa, Christian Kehl, Ulrik Lund Olsen, Søren Kimmer Schou Gregersen, David Malmgren-Hansen, Jan Kehres, Anders Bjorholm Dahl:
Sparse-View Spectral CT Reconstruction Using Deep Learning. CoRR abs/2011.14842 (2020) - [i3]David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. CoRR abs/2012.05839 (2020) - [i2]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR abs/2012.10395 (2020)
2010 – 2019
- 2018
- [b1]David Malmgren-Hansen:
Convolutional Neural Networks - Generalizability and Interpretations. Technical University of Denmark, 2018 - [c3]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. IGARSS 2018: 2111-2114 - 2017
- [j1]David Malmgren-Hansen, Anders Kusk, Jørgen Dall, Allan Aasbjerg Nielsen, Rasmus Engholm, Henning Skriver:
Improving SAR Automatic Target Recognition Models With Transfer Learning From Simulated Data. IEEE Geosci. Remote. Sens. Lett. 14(9): 1484-1488 (2017) - [c2]David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. IGARSS 2017: 17-20 - [i1]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Rasmus Engholm:
Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models. CoRR abs/1702.07189 (2017) - 2015
- [c1]David Malmgren-Hansen, Morten Nobel-Jørgensen:
Convolutional neural networks for SAR image segmentation. ISSPIT 2015: 231-236
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