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The DLR Spaceborne SAR Calibration Center

Jens Reimann, Marco Schwerdt, Kersten Schmidt, Nuria Tous Ramon, Björn Döring
<span title="2017-01-26">2017</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dtsa6utot5cnhmu3fz7fv6b4su" style="color: black;">Frequenz</a> </i> &nbsp;
AbstractA necessary activity for any SAR system is its calibration to establish the relation between radar measurements and geophysical parameters. During this process, all essential parameters of a SAR image are linked to their geophysical quantities. This includes the geolocation of the SAR image, its backscattering characteristics (in amplitude and in phase) and polarimetric information. The Microwaves and Radar Institute of the DLR has gained extensive experience in these calibration
more &raquo; ... res during the last decades and has developed special methods and dedicated reference targets for spaceborne SAR system calibration. Through examples of calibration results obtained for different spaceborne SAR mission, the capabilities of the DLR SAR Calibration Center are presented.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/freq-2016-0274">doi:10.1515/freq-2016-0274</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/szhpypzdcrb57bmkkxubnkmnwy">fatcat:szhpypzdcrb57bmkkxubnkmnwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426154109/https://elib.dlr.de/110629/1/freq-2016-0274.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/37/cf37a5eba857b275750369b34c2cbee6089a43bc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/freq-2016-0274"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> degruyter.com </button> </a>

Automated recognition of functional compound-protein relationships in literature [article]

Stefan Günther, Kersten Döring, Ammar Qaseem, Kiran K. Telukunta, Michael Becer, Philippe Thomas
<span title="2019-07-29">2019</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Motivation: Much effort has been invested in the identification of protein-protein interactions using text mining and machine learning methods. The extraction of functional relationships between chemical compounds and proteins from literature has received much less attention, and no ready-to-use open-source software is so far available for this task. Method: We created a new benchmark dataset of 2,753 sentences from abstracts containing annotations of proteins, small molecules, and their
more &raquo; ... nships. Two kernel methods were applied to classify these relationships as functional or non-functional, named shallow linguistic and all-paths graph kernel. Furthermore, the benefit of interaction verbs in sentences was evaluated. Results: The cross-validation of the all-paths graph kernel (AUC value: 84.2%, F1-score: 81.8%) shows slightly better results than the shallow linguistic kernel (AUC value: 81.6%, F1-score: 79.7%) on our benchmark dataset. Both models achieve state-of-the-art performance in the research area of relation extraction. Furthermore, the combination of shallow linguistic and all-paths graph kernel could further increase the overall performance. We used each of the two kernels to identify functional relationships in all PubMed abstracts (28 million) and provide the results, including recorded processing time. Availability: The software for the tested kernels, the benchmark, the processed 28 million PubMed abstracts, all evaluation scripts, as well as the scripts for processing the complete PubMed database are freely available at: https://github.com/KerstenDoering/CPI-Pipeline.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/718205">doi:10.1101/718205</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h3rg5y2b5jgdpl7wunxehkzwaq">fatcat:h3rg5y2b5jgdpl7wunxehkzwaq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710192445/https://www.biorxiv.org/content/biorxiv/early/2019/07/29/718205.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/56/b456b78ce46480198df6f640b41a4a7a90167481.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/718205"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Dynamic information system for small molecules

Kiran K Telukunta, Xavier Lucas, Kersten Döring, Björn A Grüning, Stefan Günther
<span title="">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5aubiwi6v5beng6iqzj577kiaa" style="color: black;">Journal of Cheminformatics</a> </i> &nbsp;
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1758-2946-6-s1-p28">doi:10.1186/1758-2946-6-s1-p28</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3980058/">pmcid:PMC3980058</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xtk6keg3ereyzlcrufwxd4ebhm">fatcat:xtk6keg3ereyzlcrufwxd4ebhm</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/pubmed-PMC3980058/PMC3980058-1758-2946-6-S1-P28.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> File Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1758-2946-6-s1-p28"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980058" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

PubMedPortable: A Framework for Supporting the Development of Text Mining Applications

Kersten Döring, Björn A. Grüning, Kiran K. Telukunta, Philippe Thomas, Stefan Günther, Robert Guralnick
<span title="2016-10-05">2016</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Information extraction from biomedical literature is continuously growing in scope and importance. Many tools exist that perform named entity recognition, e.g. of proteins, chemical compounds, and diseases. Furthermore, several approaches deal with the extraction of relations between identified entities. The BioCreative community supports these developments with yearly open challenges, which led to a standardised XML text annotation format called BioC. PubMed provides access to the largest open
more &raquo; ... biomedical literature repository, but there is no unified way of connecting its data to natural language processing tools. Therefore, an appropriate data environment is needed as a basis to combine different software solutions and to develop customised text mining applications. PubMedPortable builds a relational database and a full text index on PubMed citations. It can be applied either to the complete PubMed data set or an arbitrary subset of downloaded PubMed XML files. The software provides the infrastructure to combine stand-alone applications by exporting different data formats, e.g. BioC. The presented workflows show how to use PubMedPortable to retrieve, store, and analyse a disease-specific data set. The provided use cases are well documented in the PubMedPortable wiki. The open-source software library is small, easy to use, and scalable to the user's system requirements. It is freely available for Linux on the web at https://github.com/KerstenDoering/PubMedPortable and for other operating systems as a virtual container. The approach was tested extensively and applied successfully in several projects.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0163794">doi:10.1371/journal.pone.0163794</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27706202">pmid:27706202</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5051953/">pmcid:PMC5051953</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z6376blmpjefznfuao7v6momui">fatcat:z6376blmpjefznfuao7v6momui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171012023243/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0163794&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/42/7b/427ba5ea5493c0453cb995a4e761bab9fa9c6722.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0163794"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051953" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Mining and evaluation of molecular relationships in literature

Christian Senger, Björn A. Grüning, Anika Erxleben, Kersten Döring, Hitesh Patel, Stephan Flemming, Irmgard Merfort, Stefan Günther
<span title="2012-01-13">2012</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4r72gbmtcrde5no3fwwogjs3cu" style="color: black;">Computer applications in the biosciences : CABIOS</a> </i> &nbsp;
Motivation: Specific information on newly discovered proteins is often difficult to find in literature. Particularly if only sequences and no common names of proteins or genes are available, preceding sequence similarity searches can be crucial for the process of information collection. In drug research, it is important to know whether a small molecule targets only one specific protein or whether similar or homologous proteins are also influenced that may account for possible side effects.
more &raquo; ... ts: prolific (protein-literature investigation for interacting compounds) provides a one-step solution to investigate available information on given protein names, sequences, similar proteins or sequences on the gene level. Co-occurrences of UniProtKB/Swiss-Prot proteins and PubChem compounds in all PubMed abstracts are retrievable. Concise 'heat-maps' and tables display frequencies of co-occurrences. They provide links to processed literature with highlighted found protein and compound synonyms. Evaluation with manually curated drug-protein relationships showed that up to 69% could be discovered by automatic text-processing. Examples are presented to demonstrate the capabilities of prolific. Availability: The web-application is available at http://prolific .pharmaceutical-bioinformatics.de and a web service at http://www .pharmaceutical-bioinformatics.de/prolific/soap/
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bts026">doi:10.1093/bioinformatics/bts026</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22247277">pmid:22247277</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/477n4tdtc5gwlfctflgv42vvzy">fatcat:477n4tdtc5gwlfctflgv42vvzy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190224112449/http://pdfs.semanticscholar.org/551c/b7aa6b909540f351005658bf34755ed7699b.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/55/1c/551cb7aa6b909540f351005658bf34755ed7699b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bts026"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

The DLR SAR calibration center

Jens Reimann, Marco Schwerdt, Kersten Schmidt, Nuria Tous Ramon, Gabriel Alfonzo Castellanos, Bjorn Doring, Daniel Rudolf, Sebastian Raab, John Mohan Walter Antony, Manfred Zink
<span title="">2015</span> <i title="IEEE"> 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) </i> &nbsp;
10 A SAR sensor, like every other measurement device, has to be calibrated to perform 11 quantitative measurements. During this process all essential parameters of a SAR image are 12 linked to their geophysical quantities, like the pixel location, their complex-valued backscatter 13 and polarimetric information. The Germany Aerospace Center (DLR) has been a key player in 14 this field for more than 25 years and has concentrated its expertise and technology in 15 performing the calibration of
more &raquo; ... ceborne SAR sensors to the DLR SAR Calibration Center at 16 the Microwave and Radar Institute. During the last decades the DLR SAR Calibration Center 17 has developed plenty of novel techniques and dedicated reference targets for spaceborne SAR 18 system calibration. Some of these techniques which are also applied to current spaceborne 19 SAR missions like Sentinel-1, TerraSAR-X and TanDEM-X will be presented along with the 20 achievable performance. 21 22
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/apsar.2015.7306181">doi:10.1109/apsar.2015.7306181</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5oc6muxzgbacjeb3ky7yj4ytee">fatcat:5oc6muxzgbacjeb3ky7yj4ytee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427110946/https://elib.dlr.de/102772/1/The%20DLR%20SAR%20Calibration%20Centre_final2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/6d/996dfd8186e3734a90d3f966efc479f709a66ce3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/apsar.2015.7306181"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Automated recognition of functional compound-protein relationships in literature

Kersten Döring, Ammar Qaseem, Michael Becer, Jianyu Li, Pankaj Mishra, Mingjie Gao, Pascal Kirchner, Florian Sauter, Kiran K. Telukunta, Aurélien F. A. Moumbock, Philippe Thomas, Stefan Günther (+1 others)
<span title="2020-03-03">2020</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Much effort has been invested in the identification of protein-protein interactions using text mining and machine learning methods. The extraction of functional relationships between chemical compounds and proteins from literature has received much less attention, and no ready-to-use open-source software is so far available for this task. We created a new benchmark dataset of 2,613 sentences from abstracts containing annotations of proteins, small molecules, and their relationships. Two kernel
more &raquo; ... ethods were applied to classify these relationships as functional or non-functional, named shallow linguistic and all-paths graph kernel. Furthermore, the benefit of interaction verbs in sentences was evaluated. The cross-validation of the all-paths graph kernel (AUC value: 84.6%, F1 score: 79.0%) shows slightly better results than the shallow linguistic kernel (AUC value: 82.5%, F1 score: 77.2%) on our benchmark dataset. Both models achieve state-of-the-art performance in the research area of relation extraction. Furthermore, the combination of shallow linguistic and all-paths graph kernel could further increase the overall performance slightly. We used each of the two kernels to identify functional relationships in all PubMed abstracts (29 million) and provide the results, including recorded processing time. The software for the tested kernels, the benchmark, the processed 29 million PubMed abstracts, all evaluation scripts, as well as the scripts for processing the complete PubMed database are freely available at https://github.com/KerstenDoering/CPI-Pipeline.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0220925">doi:10.1371/journal.pone.0220925</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32126064">pmid:32126064</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7053725/">pmcid:PMC7053725</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dibiz7ddmfgxtkcnomkn42soxi">fatcat:dibiz7ddmfgxtkcnomkn42soxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307095546/https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0220925&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/76/b476539edeb216008803b58857d193fb5c7d032f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0220925"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053725" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

StreptomeDB 2.0—an extended resource of natural products produced by streptomycetes

Dennis Klementz, Kersten Döring, Xavier Lucas, Kiran K. Telukunta, Anika Erxleben, Denise Deubel, Astrid Erber, Irene Santillana, Oliver S. Thomas, Andreas Bechthold, Stefan Günther
<span title="2015-11-28">2015</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hfp6p6inqbdexbsu4r7usndpte" style="color: black;">Nucleic Acids Research</a> </i> &nbsp;
Over the last decades, the genus Streptomyces has stirred huge interest in the scientific community as a source of bioactive compounds. The majority of all known antibiotics is isolated from these bacterial strains, as well as a variety of other drugs such as antitumor agents, immunosuppressants and antifungals. To the best of our knowledge, Strep-tomeDB was the first database focusing on compounds produced by streptomycetes. The new version presented herein represents a major step forward: its
more &raquo; ... content has been increased to over 4000 compounds and more than 2500 host organisms. In addition, we have extended the background information and included hundreds of new manually curated references to literature. The latest update features a unique scaffold-based navigation system, which enables the exploration of the chemical diversity of StreptomeDB on a structural basis. We have included a phylogenetic tree, based on 16S rRNA sequences, which comprises more than two-thirds of the included host organisms. It enables visualizing the frequency, appearance, and persistence of compounds and scaffolds in an evolutionary context. Additionally, we have included predicted MS-and NMRspectra of thousands of compounds for assignment of experimental data. The database is freely accessible via http://www.pharmaceutical-bioinformatics. org/streptomedb.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/nar/gkv1319">doi:10.1093/nar/gkv1319</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26615197">pmid:26615197</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4702922/">pmcid:PMC4702922</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u7svsg52wbcutnipkbzzzz6hom">fatcat:u7svsg52wbcutnipkbzzzz6hom</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722143410/https://discovery.dundee.ac.uk/ws/files/9834021/Nucl._Acids_Res._2016_Klementz_D509_14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6b/6c/6b6c30fc6ec97bb1523a9f8b882e8e725b13ad49.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/nar/gkv1319"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702922" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data

Björn Döring, Kersten Schmidt, Matthias Jirousek, Daniel Rudolf, Jens Reimann, Sebastian Raab, John Antony, Marco Schwerdt
<span title="2013-12-04">2013</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
A synthetic aperture radar (SAR) system requires external absolute calibration so that radiometric measurements can be exploited in numerous scientific and commercial applications. Besides estimating a calibration factor, metrological standards also demand the derivation of a respective calibration uncertainty. This uncertainty is currently not systematically determined. Here for the first time it is proposed to use hierarchical modeling and Bayesian statistics as a consistent method for
more &raquo; ... g and analyzing the hierarchical data typically acquired during external calibration campaigns. Through the use of Markov chain Monte Carlo simulations, a joint posterior probability can be conveniently derived from measurement data despite the necessary grouping of data samples. The applicability of the method is demonstrated through a case study: The radar reflectivity of DLR's new C-band Kalibri transponder is derived through a series of RADARSAT-2 acquisitions and a comparison with reference point targets (corner reflectors). The systematic derivation of calibration uncertainties is seen as an important step toward traceable radiometric calibration of synthetic aperture radars.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs5126667">doi:10.3390/rs5126667</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mj5lq2xedjeorgtigql6hq25c4">fatcat:mj5lq2xedjeorgtigql6hq25c4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190225063708/http://pdfs.semanticscholar.org/69e8/e4920baa7242060376a936a9cb6639b4f968.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/e8/69e8e4920baa7242060376a936a9cb6639b4f968.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs5126667"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Page 465 of Annalen der Physik Vol. 32, Issue 5 [page]

<span title="">1938</span> <i title="Wiley Subscription Services, Inc."> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_annalen-der-physik" style="color: black;">Annalen der Physik </a> </i> &nbsp;
Döring. Temperaturabhängigkeit des Elastizitätsmoduls usw. 465 Über die Temperaturabhängigkeit des Elastizitätsmoduls ferromagnetischer Substanzen Von W.  ...  Kersten, Ztschr. f. Phys. 85. S. 708. 1933. 2) S. Siegel u. S.L. Quimby, Phys. Rev. 49. S. 663. 1936. 3) O. Engler, Ann. d. Phys. [5] 31. S. 145. 1938.  ... 
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Paranaguá: uma política de famílias

Fernanda Caroline Gomes Pires
<span title="2017-12-31">2017</span> <i title="Universidade Federal do Parana"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nsor2kfxcbe6noqqwm4le53j54" style="color: black;">Revista NEP - Núcleo de Estudos Paranaenses da UFPR</a> </i> &nbsp;
Flenik Kersten Filha Médica da Prefeitura José Baka Filho Jozaine Baka Esposa Secretária de Planejamento Mario Manoel das Dores Roque Marcelo Elias Roque Filho Supersecretária Marcus  ...  Filho de Antônio Jacinto Roque e Etelvina das Dores.  ... 
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Page 100 of Annalen der Physik Vol. 11, Issue 2-3 [page]

<span title="1952-11-20">1952</span> <i title="Wiley Subscription Services, Inc."> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_annalen-der-physik" style="color: black;">Annalen der Physik </a> </i> &nbsp;
Döring, „Ferromagnetismus‘“, J. Springer, Berlin 1939. 5) M. Kersten, „Grundlagen einer Theorie der ferromagnetischen Hysterese“. Hirzel, Leipzig 1943. 6) A. Kußmann u. B. Scharnow, Z.  ...  Becker‘). 1942 bestätigte Kersten) mit einer anschaulichen Theorie, die bereits vorher von Gumlich, Köster, Gerlach, sowie Kußmann und Scharnow u.a. experi- mentell gefundene Tatsache einer Erhöhung der  ... 
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Page 15 of Annalen der Physik Vol. 11, Issue 1 [page]

<span title="1952-10-10">1952</span> <i title="Wiley Subscription Services, Inc."> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_annalen-der-physik" style="color: black;">Annalen der Physik </a> </i> &nbsp;
Döring, Z. Physik 108, 137 (1938). 4) R. Becker u. W. Döring, ,,Ferromagnetismus“, Springer Verlag, Berlin 1939. 5) Nach M. Kersten, Z. Physik 124, 714—741 (1947) aus 2 yo0°.  ...  Döring?) _3ay Be ana worin y die spezifische Wandenergie der Blochwand (180°-Wand) und J, die Sätti- gungsmagnetisierung ist.  ... 
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Page 90 of Annalen der Physik Vol. 1, Issue 1-3 [page]

<span title="1957-12-12">1957</span> <i title="Wiley Subscription Services, Inc."> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_annalen-der-physik" style="color: black;">Annalen der Physik </a> </i> &nbsp;
Döring, Z. Naturforschg. 3a, 374 (1948). 13) R. Becker, J. Physique Radium 12, 332 (1951). 4) L. Landau u. E. Lifshitz, Phys. Zeitschr. Sowjetunion 8, 153 (1935). 15) M. Kersten, Physik.  ...  (Il) Um die Reibung ß der Blochwand zu erfassen, diskutiert Döring auf Grund der Überlegungen von Becker!)  ... 
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Frontmatter

<span title="2017-01-13">2017</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dtsa6utot5cnhmu3fz7fv6b4su" style="color: black;">Frequenz</a> </i> &nbsp;
Schmidt, Nuria Tous Ramon and Björn Döring The DLR Spaceborne SAR Calibration Center 619 S.  ...  on SLSRs 499 Muhammad Naeem Iqbal, Hamood Ur-Rahman, T Tauqeer and Rodica Ramer Wideband Monopole Fractal Heptagonal Antenna Implementation in X-Band Frequency Range 539 Jens Reimann, Marco Schwerdt, Kersten  ... 
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