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Background and related work [chapter]

Gerhard Schall
2012 Mobile Augmented Reality for Human Scale Interaction with Geospatial Models  
Moreover, data sources such as CAD construction drawings present a huge reservoir for semantic geospatial models that can be extracted and applied in AR applications.  ...  Evans, 2006) (services for the online delivery of respectively geospatial vector and raster data).  ... 
doi:10.1007/978-3-658-00197-1_2 fatcat:giegrdr2ubdnbnfe2ah3pntgdy

Interactive Visualization and Exploration of Patient Progression in a Hospital Setting

Wathsala Widanagamaachchi, Yarden Livnat, Peer-Timo Bremer, Scott Duvall, Valerio Pascucci
2018 AMIA Annual Symposium Proceedings  
As medical organizations increasingly adopt the use of electronic health records (EHRs), large volumes of clinical data are being captured on a daily basis.  ...  Through the use of optimized data structures and progressive visualization techniques, we allow users to interactively explore how patients and their progression change over time.  ...  Analyzing time-varying data sets usually involves feature extraction and tracking steps.  ... 
pmid:29854248 pmcid:PMC5977592 fatcat:rufmxpe46zan7lqynjwfqaijmi

Geospatial Augmented Reality for the interactive exploitation of large-scale walkable orthoimage maps in museums

Robert Wüest, Stephan Nebiker
2018 Proceedings of the ICA  
In this paper we present an app framework for augmenting large-scale walkable maps and orthoimages in museums or public spaces using standard smartphones and tablets.  ...  We were able to show that AR apps on standard smartphone devices can dramatically enhance the interactive use of large-scale maps for different purposes such as education or serious gaming in a museum  ...  Acknowledgements We are grateful to the company Axon Vibe AG based in Lucerne Switzerland for the collaboration on this project as well as the Swiss National Transport Museum Lucerne for their support.  ... 
doi:10.5194/ica-proc-1-124-2018 fatcat:ezyu7bfdj5d5vihhstd3aixepe

A Single Shot Framework with Multi-Scale Feature Fusion for Geospatial Object Detection

Shuo Zhuang, Ping Wang, Boran Jiang, Gang Wang, Cong Wang
2019 Remote Sensing  
In this paper, on the one hand, we construct and release a large-scale remote-sensing dataset for geospatial object detection (RSD-GOD) that consists of 5 different categories with 18,187 annotated images  ...  High-level features with semantic information and low-level features with fine details are fully explored for detection tasks, especially for small objects.  ...  Features extracted from one scale, two scales and three scales are used to generate three predictions.  ... 
doi:10.3390/rs11050594 fatcat:kro5eu7s3nep3jene7fysletbe

Geospatial Considerations for a Multiorganizational, Landscape-Scale Program

Michael S. O'Donnell, Timothy J. Assal, Patrick J. Anderson, Zachary H. Bowen
2014 Journal of Map & Geography Libraries  
, collaborators, and managers for developing geospatial management plans.  ...  management plans, (3) the lifecycle of a geospatial effort, (4) a framework for the integration of geographic information systems (GIS) in a landscape-scale conservation or management program, and (5)  ...  We thank Daniel Manier, Robert McDougal, and Tim Kern for constructive comments that improved the manuscript.  ... 
doi:10.1080/15420353.2014.885925 fatcat:d25gh7yghndivne4rooluktk2a

Efficient video collection association using geometry-aware Bag-of-Iconics representations

Ke Wang, Enrique Dunn, Mikel Rodriguez, Jan-Michael Frahm
2017 IPSJ Transactions on Computer Vision and Applications  
We then develop a data-driven framework for a fully unsupervised extraction of such representations.  ...  For example, technical advances have enabled 3D modeling from large-scale crowdsourced photo collections.  ...  Authors' contributions All authors read and approved the final manuscript. Competing interests The authors declare that they have no competing interests. Publisher's Note  ... 
doi:10.1186/s41074-017-0034-3 fatcat:d2wsy7fcznatfg2pkr6n7lug54

High-Resolution Satellite Image Sources for Disaster Management in Urban Areas [chapter]

Jonathan Li, Yu Li, Michael A. Chapman
2005 Geo-information for Disaster Management  
This paper examines the problems of geospatial data acquisition for disaster management with a focus, in particular, on urban environments from two perspectives: geospatial data requirements and the role  ...  We focus on the potential of available very high-resolution commercial satellite image data for rapid urban mapping and discuss the example of automated building and road extraction from pan-sharpened  ...  Acknowledgements This research was partially supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) discovery grant.  ... 
doi:10.1007/3-540-27468-5_74 fatcat:ux2wej52yvejhb4cc7eoynl54y

An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery

Xiaobing Han, Yanfei Zhong, Liangpei Zhang
2017 Remote Sensing  
The third reason is the relative dearth of manually annotated samples for the geospatial object training data.  ...  In summary, these methods are heavily reliant on the manually designed feature descriptors and human-labeled training samples, and perform well when there is a large amount of training data and the feature  ...  It is noted that deep network needs a large amount of data to fit the complicated and nonlinear data distribution.  ... 
doi:10.3390/rs9070666 fatcat:kfzk3qivlvfu5mbet4anwomrna

A Performance Analysis of the SIFT Matching on Simulated Geospatial Image Differences
공간 영상 처리를 위한 SIFT 매칭 기법의 성능 분석

Jae-Hong Oh, Hyo-Seong Lee
2011 Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography  
Image matching is a critical process for various image applications such as identifying same features from multiple looking images, change detection, feature tracking, and image alignment.  ...  A matching task typically has two steps, i.e., extraction of distinct points (or features) from one image, and the search for the counterpart in the corresponding image.  ...  Scale Invariant Feature Transform (SIFT) matching is designed to extract invariant features from images and to perform matching.  ... 
doi:10.7848/ksgpc.2011.29.5.449 fatcat:kjoty7wdcvbhzpjj5vc4zxsb7u

Hybrid retrieval approaches to geospatial music recommendation

Markus Schedl, Dominik Schnitzer
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
Using state-ofthe-art techniques to extract audio features and contextual web features, and a novel standardized data set of music listening activities inferred from microblogs (MusicMicro), we propose  ...  music listening events for retrieval purposes and (ii) novel geospatial music recommendation approaches using location information of microblog users, and a comprehensive evaluation thereof.  ...  From the index, we compute term weights according to the best feature combination found in the large-scale experiments of [13] : TF_C3.IDF_I.SIM_COS, i.e. computing term weight vectors and artist similarity  ... 
doi:10.1145/2484028.2484146 dblp:conf/sigir/SchedlS13 fatcat:pfgjhpxiunbwxhqo76bweaqoxe

Geospatial Data Management Research: Progress and Future Directions

Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis, Mojgan Jadidi
2020 ISPRS International Journal of Geo-Information  
Geo-data science will have the task to extract knowledge from unstructured and structured geospatial data and to bridge the gap between modern information technology concepts and the geo-related sciences  ...  In the third milestone, 3D/4D geospatial data management is described as a key concept for city modelling, including subsurface models.  ...  In contrast to this, 3D geospatial information systems (GIS) focus on collecting, storing, and analyzing geospatial data at a small scale.  ... 
doi:10.3390/ijgi9020095 fatcat:gfh4xoa6hfaqzb4xairuyl5hby

Location-Aware Music Artist Recommendation [chapter]

Markus Schedl, Dominik Schnitzer
2014 Lecture Notes in Computer Science  
To this end, we use a novel standardized data set of music listening activities inferred from microblogs (MusicMicro) and state-ofthe-art techniques to extract audio features and contextual web features  ...  filtering data.  ...  Acknowledgments This research is supported by the Austrian Science Funds (FWF): P22856 and P24095, and by the EU FP7 project PHENICX: 601166.  ... 
doi:10.1007/978-3-319-04117-9_19 fatcat:uf36ygltonevvevsyujsuog7mm

Towards efficient data search and subsetting of large-scale atmospheric datasets

Sangmi Lee Pallickara, Shrideep Pallickara, Milija Zupanski
2012 Future generations computer systems  
Datasets are indexed based on the periodic crawling of popular sites and files requested by the users. Users are allowed to access subsets of a large dataset through our data customization feature.  ...  To support complex querying capabilities, we automatically extract and index fine-grained metadata.  ...  MyLEAD [15] provides data discovery for both public and personal data by means of cataloging and tracking the user's computational activities.  ... 
doi:10.1016/j.future.2011.05.010 fatcat:6aymzsewerfzfbpdfahft5zozi

The quality of OpenStreetMap in a large metropolis in northeast Brazil: Preliminary assessment of geospatial data for road axes

Elias Nasr Naim Elias, Vivian de Oliveira Fernandes, Mauro José Alixandrini Junior, Marcio Augusto Reolon Schmidt
2020 Boletim de Ciências Geodésicas  
The quality of OpenStreetMap in a large metropolis in northeast Brazil: Preliminary assessment of geospatial data for road axes.  ...  The positional accuracy of linear features was also used, performed to obtain a range of scales, which reflected the characteristics of mapped areas and varied from 1:22,500 to 1:25,000.  ...  and founded by CAPES Higher Education Improvement Coordination.  ... 
doi:10.1590/s1982-21702020000300012 fatcat:6rqujx44offjxbt6qkxliv7ofi

MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection

Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao
2018 Remote Sensing  
Although deep learning has shown its power in extracting discriminative features, there is still room for improvement in its detection performance, particularly for objects with large ranges of variations  ...  To this end, a novel approach, entitled multi-scale and rotation-insensitive convolutional channel features (MsRi-CCF), is proposed for geospatial object detection by integrating robust low-level feature  ...  Piotr Dollar for providing MATLAB codes for fast pyramid feature and to thank Google for opening the TensorFlow Object Detection API.  ... 
doi:10.3390/rs10121990 fatcat:xrfhn6krl5ghhjffi22hh7y7yi
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