Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Malmgren‐Hansen, David"'
This paper explores the similarities of output layers in Neural Networks (NNs) with logistic regression to explain importance of inputs by Z-scores. The network analyzed, a network for fusion of Synthetic Aperture Radar (SAR) and Microwave Radiometry
Externí odkaz:
http://arxiv.org/abs/2102.05874
Publikováno v:
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent dimensionality reduction approach. The extracted features are fed into
Externí odkaz:
http://arxiv.org/abs/2012.05839
Publikováno v:
2018 IEEE International Geoscience and Remote Sensing Symposium
The Infrared Atmospheric Sounding Interferometer (IASI) on board the MetOp satellite series provides important measurements for Numerical Weather Prediction (NWP). Retrieving accurate atmospheric parameters from the raw data provided by IASI is a lar
Externí odkaz:
http://arxiv.org/abs/2012.10395
Autor:
Mustafa, Wail, Kehl, Christian, Olsen, Ulrik Lund, Gregersen, Søren Kimmer Schou, Malmgren-Hansen, David, Kehres, Jan, Dahl, Anders Bjorholm
Spectral computed tomography (CT) is an emerging technology capable of providing high chemical specificity, which is crucial for many applications such as detecting threats in luggage. This type of application requires both fast and high-quality imag
Externí odkaz:
http://arxiv.org/abs/2011.14842
Convolutional Neural Networks (Convnets) have achieved good results in a range of computer vision tasks the recent years. Though given a lot of attention, visualizing the learned representations to interpret Convnets, still remains a challenging task
Externí odkaz:
http://arxiv.org/abs/1702.07189
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing December 2019 158:231-240
Akademický článek
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Autor:
Fisker, Peter, Gallego-Ayala, Jordi, Malmgren Hansen, David, Sohnesen, Thomas Pave, Murrugarra, Edmundo
Social safety net programs focus on a subset of the population, usually the poorest and most vulnerable. However, in most developing countries there is no administrative data on relative wealth of the population to support the selection process of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::fc24af0d493a4234bf9461ac3e1fad29
http://documents.worldbank.org/curated/en/099135010252263269/P176471047cadc0240ba5d08ef8a2bc86b3
http://documents.worldbank.org/curated/en/099135010252263269/P176471047cadc0240ba5d08ef8a2bc86b3
Cyclone Idai, the most devastating cyclone ever recorded in Southern Africa, caused havoc in large parts of central Mozambique, especially the port city of Beira, upon its landfall in March 2019. This study reviews and compares measurements of the im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::abf8843ef9adcd0952c2a4fd8c9fa16f
https://hdl.handle.net/10419/243415
https://hdl.handle.net/10419/243415
Akademický článek
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