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Georeferencing places from collective human descriptions using place graphs

Hao Chen, Stephan Winter, Maria Vasardani
2018 Journal of Spatial Information Science  
This paper presents a novel approach for georeferencing places from collective descriptions using place graphs, regardless of whether they are referred to by gazetteered names or not.  ...  The approach leverages spatial relation models for approximate locating and matching. Different models are proposed and evaluated using several metrics.  ...  For a given triplet with relatum as an anchor place, the following approaches are used to associate it to one of the defined CCSs.  ... 
doi:10.5311/josis.2018.17.417 fatcat:hqof3dexzrfw7kfcvvdw6b2hxm

DENOISING OF 3D POINT CLOUDS

E. Mugner, N. Seube
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system may supplement a geometric approach.  ...  A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point.  ...  ACKNOWLEDGEMENTS We would like to thanks the Company Microdrones Canada Inc. for providing us the point clouds we analysed in this paper, and in particular Stefanie Van-Wierts for her support and relevant  ... 
doi:10.5194/isprs-archives-xlii-2-w17-217-2019 fatcat:b3czsbandvalbontm6nrw767ne

Introduction to digital gazetteer research

M. F. Goodchild, L. L. Hill
2008 International Journal of Geographical Information Science  
They have been growing in importance recently as the basis of a range of services, including way-finding, georeferencing, and intelligence.  ...  This introduction to the following collection of five research papers expands on contemporary applications of digital gazetteers, explores the issues associated with each of the three types of information  ...  who provided helpful comments on the papers submitted for this special issue, and the National Geospatial-Intelligence Agency for financial support.  ... 
doi:10.1080/13658810701850497 fatcat:gfan4pjnend6dkunxslkiqvmri

A probabilistic approach to mining geospatial knowledge from social annotations

Suradej Intagorn, Kristina Lerman
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
We introduce a probabilistic framework for modeling georeferenced annotations and a method for learning model parameters from data.  ...  Increasingly, such content is also georeferenced, i.e., it is associated with geographic coordinates.  ...  IIS-0812677 and CMMI-0753124.  ... 
doi:10.1145/2396761.2398504 dblp:conf/cikm/IntagornL12 fatcat:immbod26iba7tlucix324ib6rq

A probabilistic approach to mining geospatial knowledge from social annotations

Suradej Intagorn, Kristina Lerman
2012 SIGSPATIAL Special  
We introduce a probabilistic framework for modeling georeferenced annotations and a method for learning model parameters from data.  ...  Increasingly, such content is also georeferenced, i.e., it is associated with geographic coordinates.  ...  IIS-0812677 and CMMI-0753124.  ... 
doi:10.1145/2429177.2429178 fatcat:h3p2m535lvfljg6heent7jjw44

Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge

Ashton Krajnovich, Wendy Zhou, Marte Gutierrez
2020 Solid Earth  
Evaluating the uncertainty associated with 3D geologic modeling of these fault zones is made possible using the popular and flexible input-based uncertainty propagation approach to geologic model uncertainty  ...  To satisfy the automation requirements of probabilistic geomodeling while still preserving the key geometry of fault zones in the subsurface, a clear and straightforward modeling approach is developed  ...  This paper was edited by Florian Fusseis and reviewed by Florian Wellmann and Alexander Schaaf.  ... 
doi:10.5194/se-11-1457-2020 fatcat:hpzdxkop4zf4rmma4dioekuvaa

Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data

Enrico Steiger, René Westerholt, Bernd Resch, Alexander Zipf
2015 Computers, Environment and Urban Systems  
The objective of this paper is to explore the semantic association between georeferenced tweets and their respective spatiotemporal whereabouts.  ...  We apply a semantic topic model classification and spatial autocorrelation analysis to detect tweets indicating specific human social activities.  ...  In our study we use local indicators of spatial association (LISA) as introduced by Anselin (1995) .  ... 
doi:10.1016/j.compenvurbsys.2015.09.007 fatcat:by53wwwhwzb2bouay6hafp5fdu

Positioning localities based on spatial assertions

Y. Liu, Q. H. Guo, J. Wieczorek, M. F. Goodchild
2009 International Journal of Geographical Information Science  
This research is supported by the BioGeomancer Project funded by the Gordon and Betty  ...  Hence, uncertainty associated with these descriptions is inevitable. In many applications, it is necessary to determine localities and associated uncertainty based on a qualitative description.  ...  To address and make use of the vast amount of descriptive locality data in museum collections, Wieczorek et al. (2004) developed a point radius method to describe a locality using a point with its maximum  ... 
doi:10.1080/13658810802247114 fatcat:xmjhqs25yvbmxll6g2bg3465nm

Ecogeographically and Non-Ecogeographically Forecasting Discontinuous Canopied Simulium damnosum s.l. Habitats by Interpolating Metrizable Sub-Mixel Mean Solar Exoatmospheric Quantum Scalar Irradiance where θi is a Zenith Angle and Diatomically Etiolated Xanthophylls with Azimutually Isotropic Sources of Chloroplastic Carotenoid Zeaxanthins Spectrally Extracted from a Decomposed RapidEye™ Red Edge Normalized Difference Vegetation Index Reference Targeted Biosignature: A Case Study in Burkina Faso and Uganda

Benjamin G. Jacob, Robert J.Novak
2015 Journal of Remote Sensing & GIS  
Rather than relying on a single method of vector control (e.g chemical spraying), IVM stresses the importance of first understanding the local vector ecology and local patterns of disease transmission,  ...  Ecosynth 3D point clouds with densities of 30-67 points m − 2 were rendered using commercial computer vision software from digital photographs acquired repeatedly by UAS over three 6.25 ha (250 m × 250  ...  Ministry of Health Uganda and Munu Denis at The Carter Center Uganda Office.  ... 
doi:10.4172/2469-4134.1000152 fatcat:gpqnvnehhvfchajg3rx5i6hije

BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis

D. Sacharny, T. C. Henderson, R. Simmons, A. Mitiche, T. Welker, X. Fan
2017 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)  
PROBABILISTIC LOGIC Here we address the problem of finding a suitable representation for uncertainty associated with logical sentences.  ...  BRECCIA is a dynamic uncertainty monitoring and reduction system; that is, uncertainty can arise due to a change in local conditions (e.g., the weather may make movement difficult) or new information may  ... 
doi:10.1109/mfi.2017.8170352 dblp:conf/mfi/SacharnyHSMWF17 fatcat:rvo6jnpaqnglllanimybn3p75i

Geo-referencing Place from Everyday Natural Language Descriptions [article]

Hao Chen, Maria Vasardani, Stephan Winter
2017 arXiv   pre-print
Hence, the approach for geo-referencing presented in this paper starts from a place graph that contains the place references as well as spatial relationships extracted from place descriptions.  ...  The novel geo-referencing process results in higher precision and recall compared to state-of-art toponym resolution approaches on several tested place description datasets.  ...  The computation of nearness in order to deal with the probabilistic uncertainty of near will be given in Section 4.2.2.  ... 
arXiv:1710.03346v1 fatcat:kqn3ba537bf5nkgfbqvppfw5wq

DA-LMR: A Robust Lane Marking Representation for Data Association [article]

Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller
2022 arXiv   pre-print
While complete localization approaches are widely studied in the literature, their data association and data representation subprocesses usually go unnoticed.  ...  In this work, we present DA-LMR (Delta-Angle Lane Marking Representation), a robust data representation in the context of localization approaches.  ...  among the evaluated for a localization application and specially for georeferencing using aerial imagery.  ... 
arXiv:2111.09230v2 fatcat:kd7dtvcmdzblvhaiekeovyuoqi

Georeferencing and quality assessment of Josephine survey maps for the mountainous region in the Triglav National Park

T. Podobnikar
2009 Acta Geodaetica et Geophysica Hungarica  
This approach allows a more detailed understanding of the quality and consequently improves a georeferencing process for any historical data sets.  ...  The enhanced process additionally integrates descriptive (textual) information about the mapping processes, derivative georeferenced data sets as land use analysis, and Monte Carlo simulations.  ...  Acknowledgements The maps used in this research were provided with the permission and kindness of many institutions and people. The originals of the historical maps were digitally photographed.  ... 
doi:10.1556/ageod.44.2009.1.6 fatcat:j7x6e6pi4jg2hes5sqml3hbase

Modeling and querying uncertain spatial information for situational awareness applications

Dmitri V. Kalashnikov, Yiming Ma, Sharad Mehrotra, Ramaswamy Hariharan, Carter Butts
2006 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems - GIS '06  
Location is one of the most important attributes of events, useful for a variety of SA tasks.  ...  In this paper, we propose an approach to model and represent (potentially uncertain) event locations described by human reporters in the form of free text.  ...  Using that representation, the answer to a RQ with the range R and probabilistic threshold pτ can be computed by measuring the fraction of the overlap between U ℓ and R and comparing it to pτ .  ... 
doi:10.1145/1183471.1183494 dblp:conf/gis/KalashnikovMMHB06 fatcat:hztuxptocnefjiuxz7fjafwgiu

Collaborative 3D Reconstruction Using Heterogeneous UAVs: System and Experiments [chapter]

Timo Hinzmann, Thomas Stastny, Gianpaolo Conte, Patrick Doherty, Piotr Rudol, Marius Wzorek, Enric Galceran, Roland Siegwart, Igor Gilitschenski
2017 Springer Proceedings in Advanced Robotics  
In our validation, we compare classical point-cloud alignment methods to a novel probabilistic data association approach that specifically takes the individual point-cloud densities into consideration.  ...  In particular, the UAVs are requested to autonomously scan a search area and to provide the operator with a consistent georeferenced 3D reconstruction of the environment to increase the environmental awareness  ...  Furthermore, the authors want to thank Gabriel Agamennoni and Simone Fontana for providing an initial implementation of the probabilistic data association algorithm.  ... 
doi:10.1007/978-3-319-50115-4_5 dblp:conf/iser/HinzmannSCDRWGS16 fatcat:jiupvz6n2vhovm6z454jwtdaxy
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