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Institution

Technische Universität Darmstadt

EducationDarmstadt, Germany
About: Technische Universität Darmstadt is a education organization based out in Darmstadt, Germany. It is known for research contribution in the topics: Neutron & Finite element method. The organization has 17316 authors who have published 40619 publications receiving 937916 citations. The organization is also known as: Darmstadt University of Technology & University of Darmstadt.


Papers
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Journal ArticleDOI
TL;DR: This paper highlights the two awarded research contributions, which investigated different approaches for the fusion of hyperspectral and LiDAR data, including a combined unsupervised and supervised classification scheme, and a graph-based method for the Fusion of spectral, spatial, and elevation information.
Abstract: The 2013 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic use of hyperspectral and Light Detection And Ranging (LiDAR) data. The data sets distributed to the participants during the Contest, a hyperspectral imagery and the corresponding LiDAR-derived digital surface model (DSM), were acquired by the NSF-funded Center for Airborne Laser Mapping over the University of Houston campus and its neighboring area in the summer of 2012. This paper highlights the two awarded research contributions, which investigated different approaches for the fusion of hyperspectral and LiDAR data, including a combined unsupervised and supervised classification scheme, and a graph-based method for the fusion of spectral, spatial, and elevation information.

379 citations

Journal ArticleDOI
TL;DR: In this article, the spectral kurtosis (SK) technique is extended to that of a function of frequency that indicates how the impulsiveness of a signal can be detected and analyzed.

378 citations

Journal ArticleDOI
TL;DR: It is shown that landscape-level effects dominate functional community composition and can even buffer the effects of in-field management intensification on functional homogenization, and that animal communities in real-world managed landscapes show a unified response (across orders and guilds) to both landscape-scale simplification and in- field intensification.
Abstract: Biodiversity loss can affect the viability of ecosystems by decreasing the ability of communities to respond to environmental change and disturbances. Agricultural intensification is a major driver of biodiversity loss and has multiple components operating at different spatial scales: from in-field management intensity to landscape-scale simplification. Here we show that landscape-level effects dominate functional community composition and can even buffer the effects of in-field management intensification on functional homogenization, and that animal communities in real-world managed landscapes show a unified response (across orders and guilds) to both landscape-scale simplification and in-field intensification. Adults and larvae with specialized feeding habits, species with shorter activity periods and relatively small body sizes are selected against in simplified landscapes with intense in-field management. Our results demonstrate that the diversity of land cover types at the landscape scale is critical for maintaining communities, which are functionally diverse, even in landscapes where in-field management intensity is high.

377 citations

Proceedings ArticleDOI
22 Oct 2001
TL;DR: The extension of the spiral visualization to 3D gives access to concepts for zooming and focusing and linking in the data set and complements other visualization techniques for time series and specifically enhance the identication of periodic patterns.
Abstract: In this paper, we present a new approach for the visualization of time-series data based on spirals. Different to classical bar charts and line graphs, the spiral is suited to visualize large data sets and supports much better the identification of periodic structures in the data. Moreover, it supports both the visualization of nominal and quantitative data based on a similar visualization metaphor. The extension of the spiral visualization to 3D gives access to concepts for zooming and focusing and linking in the data set. As such, spirals complement other visualization techniques for time series and specifically enhance the identication of periodic patterns.

377 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the electron binding energy of different supported and prepared gold nanoparticles for the 4f electron level at different pre-treatment conditions and different oxide supports.
Abstract: X-ray photoelectron spectroscopy (XPS) investigations of supported nanoparticles smaller than 10 nm show a significant shift of the electron binding energy of core levels compared with the bulk values. In this work, such shifts were examined at differently supported and prepared gold nanoparticles for the 4f electron level. Special attention was paid to the influence of reducing pretreatment in hydrogen and, moreover, the influence of different oxide supports. Surprisingly, in most cases, lower binding energies than the Au 4f7/2of 84.0 eV were observed depending on the oxidic support as well as the pretreatment conditions. The origin of these differences of the core level values are discussed in terms of different models like electron transfer from the support to the particles, size and geometric effects. It seems that especially geometric factors like the particle shape play an important role.

375 citations


Authors

Showing all 17627 results

NameH-indexPapersCitations
Yang Gao1682047146301
Herbert A. Simon157745194597
Stephen Boyd138822151205
Jun Chen136185677368
Harold A. Mooney135450100404
Bernt Schiele13056870032
Sascha Mehlhase12685870601
Yuri S. Kivshar126184579415
Michael Wagner12435154251
Wolf Singer12458072591
Tasawar Hayat116236484041
Edouard Boos11675764488
Martin Knapp106106748518
T. Kuhl10176140812
Peter Braun-Munzinger10052734108
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023135
2022624
20212,462
20202,585
20192,609
20182,493