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Cross-Matching Multiple Spatial Observations and Dealing with Missing Data [article]

Jim Gray, Alex Szalay, Tamas Budavari, Robert Lupton, Maria Nieto-Santisteban, Ani Thakar
2007 arXiv   pre-print
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data.  ...  Dealing with such missing observations is a difficult problem.  ...  Dealing with missing data is the most difficult problem.  ... 
arXiv:cs/0701172v1 fatcat:kni3imhmlfaezh7rpo4gruswgm

Enhancing Multi-Robot Perception via Learned Data Association [article]

Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021 arXiv   pre-print
Solutions must effectively leverage multiple, non-static, and intermittently-overlapping RGB perspectives.  ...  This setting entails several real-world challenges, especially those relating to unregistered multi-agent image data.  ...  . • We propose an end-to-end learn-able Multi-Agent Infilling Network, MAIN, that (1) extracts spatial features for pairwise comparison, (2) leverages spatial context and matching uncertainty to produce  ... 
arXiv:2107.00769v1 fatcat:3fnqzee4ejampfeoee3l3oa5hu

Non-parametric regression for space–time forecasting under missing data

James Haworth, Tao Cheng
2012 Computers, Environment and Urban Systems  
To complicate matters, the missing data is often not missing at random, and is characterised by long periods where no data is observed.  ...  The model performance is compared with another form of non-parametric regression, K-nearest neighbours, which is also effective in forecasting under missing data.  ...  Acknowledgements This work was completed as part of the STANDARD project (EP/ G023212/1), funded by EPSRC and in partnership with Transport for London.  ... 
doi:10.1016/j.compenvurbsys.2012.08.005 fatcat:qlue6subsfbj3avsdt2omb2ldq

Transfer learning for cross-modal demand prediction of bike-share and public transit [article]

Mingzhuang Hua, Francisco Camara Pereira, Yu Jiang, Xuewu Chen
2022 arXiv   pre-print
It is expectable that cross-modal ripple effects become more prevalent, with Mobility as a Service. Therefore, by propagating demand data across modes, a better demand prediction could be obtained.  ...  These results verify our combined method's forecasting improvement over existing benchmarks and demonstrate the good transferability for cross-modal demand prediction in multiple cities.  ...  In order to deal with the missing data problem, there are two solution frameworks discussed in this paper.  ... 
arXiv:2203.09279v1 fatcat:yqtp7hiknrcxlcyqcrjjtjtco4

Cross-analysis of hazmat road accidents using multiple databases

Martin Trépanier, Marie-Hélène Leroux, Nathalie de Marcellis-Warin
2009 Accident Analysis and Prevention  
Databases on dangerous goods accidents, road accidents and work accidents were cross-analyzed to retrieve multiple informations on the same events.  ...  This paper presents a methodology and a tool that were developed to integrate many data sources to analyze hazmat accidents in the province of Quebec, Canada.  ...  We observe the opposite situation for accident with fixed vehicles. Cross-Observation The cross-observation of the three databases is conducted with the help of HECOT.  ... 
doi:10.1016/j.aap.2008.05.010 pmid:19819367 fatcat:4edcfxiex5eifb3zelh54benq4

STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10 m, Daily, and Cloud-/Gap-Free Surface Reflectance Product

Yunan Luo, Kaiyu Guan, Jian Peng, Sibo Wang, Yizhi Huang
2020 Remote Sensing  
Remote sensing datasets with both high spatial and high temporal resolution are critical for monitoring and modeling the dynamics of land surfaces.  ...  The multiple refined time series are then integrated stepwisely, from coarse- to fine- and high-resolution, ultimately providing a synthetic daily, high-resolution surface reflectance observations.  ...  Landsat project management and staff at USGS Earth Resources Observation and Science (EROS) Center South Dakota for providing the Landsat data free of charge. We thank  ... 
doi:10.3390/rs12193209 fatcat:yixt3f7dv5hkrgmdkidax7wkny

Image registration and fusion for NASA remotely sensed imagery

J. Le Moigne, J.A. Smith
2000 Proceedings of the Third International Conference on Information Fusion  
With the increasing importance of multiple platform/multiple NASA remote sensing missions, the integration of digital data from disparate sources has become critical to the success of these endeavors.  ...  In meeting some of the Earth System Science objectives, the combination of all these data at various resolutions-spatial, radiometric and temporalwill allow a better understanding of Earth and space science  ...  mosaics of multiple sensor data with multimodal, temporal and viewpoint image fusion.  ... 
doi:10.1109/ific.2000.862667 fatcat:cp62jfxmdrbd3m6l5gwdf6xcqm

Auditing data streams for correlated glitches

Ji Meng Loh, Tamraparni Dasu
2013 International Journal of Information Quality  
In the case study, we focus on duplicate, missing, inconsistent and anomalous data, and correlations between glitches across time, space and topology.  ...  In this paper, we present a methodology for automated auditing of massive, complex data streams with a focus on correlated glitches, and a case study that illustrates the application of this methodology  ...  More specifically, we are interested in how much the sequences match temporally, and how the degree of match varies with spatial separation and network topology.  ... 
doi:10.1504/ijiq.2013.054273 fatcat:nxjkplmuobbknadtaxj2pcscom

A review of spatial causal inference methods for environmental and epidemiological applications [article]

Brian J Reich, Shu Yang, Yawen Guan, Andrew B Giffin, Matthew J Miller, Ana G Rappold
2020 arXiv   pre-print
These methods are extended to the spatiotemporal case where we compare and contrast the potential outcomes framework with Granger causality, and to geostatistical analyses involving spatial random fields  ...  The methods are introduced in the context of observational environmental and epidemiological studies, and are compared using both a simulation study and analysis of the effect of ambient air pollution  ...  Acknowledgements This work was partially supported by the National Institutes of Health (R01ES031651-01,R01ES027892-01) and King Abdullah University of Science and Technology (3800.2).  ... 
arXiv:2007.02714v1 fatcat:ujag67wnabfk5i77ebn6fg6gfe

Point-of-Interest (POI) Data Validation Methods: An Urban Case Study

Lih Wei Yeow, Raymond Low, Yu Xiang Tan, Lynette Cheah
2021 ISPRS International Journal of Geo-Information  
The datasets were found to have poor completeness with errors of commission and omission, although spatial errors were reasonably low (<60 m). Thematic accuracy in names and place types varied.  ...  procedures, and the intended application of POI data.  ...  Acknowledgments: We thank Google and HERE for permitting the use of their POI data in the case study. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi10110735 fatcat:svx55wquujfxvovqf3a7q4p2pa

"Spatial Energetics"

Peter James, Marta Jankowska, Christine Marx, Jaime E. Hart, David Berrigan, Jacqueline Kerr, Philip M. Hurvitz, J. Aaron Hipp, Francine Laden
2016 American Journal of Preventive Medicine  
Third, the field must come to agreement on appropriate statistical methodologies to account for multiple observations per person.  ...  linked to activity-related health behaviors with far more robust and detailed data than in previous work.  ...  We thank the TREC Spatial and Contextual Measures and Modeling Working Group, who contributed greatly to this analysis.  ... 
doi:10.1016/j.amepre.2016.06.006 pmid:27528538 pmcid:PMC5067207 fatcat:jr2tjr2t3bcsfmx7yvmyklgdc4

Human tracking over camera networks: a review

Li Hou, Wanggen Wan, Jenq-Neng Hwang, Rizwan Muhammad, Mingyang Yang, Kang Han
2017 EURASIP Journal on Advances in Signal Processing  
., generative trackers and discriminative trackers.  ...  This review paper surveys the most widely used techniques and recent advances for human tracking over camera networks.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s13634-017-0482-z fatcat:sc6y6mffn5hjzaawmnduamqpz4

SkyQuery: An Implementation of a Parallel Probabilistic Join Engine for Cross-Identification of Multiple Astronomical Databases [article]

László Dobos, Tamás Budavári, Nolan Li, Alexander S. Szalay, István Csabai
2012 arXiv   pre-print
Consequently, a novel system is necessary that can cross-identify multiple catalogs on-demand, efficiently and reliably.  ...  Legacy astronomical catalogs already contain detections of more than a hundred million objects while the ongoing and future surveys will produce catalogs of billions of objects with multiple detections  ...  Acknowledgements This work was supported by the following Hungarian grants: NKTH: Polányi and KCKHA005.  ... 
arXiv:1206.5021v1 fatcat:vnghwx76cng2lcegskrctwwcvq

A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures

Xiaoshui Huang, Jian Zhang, Lixin Fan, Qiang Wu, Chun Yuan
2017 IEEE Transactions on Image Processing  
Our work has three main contributions: (1) a systematic pipeline to deal with cross-source point cloud registration; (2) a graph construction method to maintain macro and micro structures; (3) a new graph  ...  This paper therefore illustrates a novel registration method which successfully aligns two cross-source point clouds in the presence of significant missing data, large variations in point density, scale  ...  ACKNOWLEDGMENT The authors would like to thank the Nokia Corporation for their help and acknowledge the useful discussions with colleagues in GBDTC.  ... 
doi:10.1109/tip.2017.2695888 pmid:28436871 fatcat:ukciy4ot3re4pipymaolhzi4oe

Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion [article]

Yang Wang
2020 arXiv   pre-print
With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects.  ...  Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition and fusion over multi-modal spaces.  ...  The proposed method projected latent variables fused with multi-view features into multiple observations.  ... 
arXiv:2006.08159v1 fatcat:g4467zmutndglmy35n3eyfwxku
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