CROWDSOURCING BIG TRACE DATA FILTERING: A PARTITION-AND-FILTER MODEL

GPS traces collected via crowdsourcing way are low-cost and informative and being as a kind of new big data source for urban geographic information extraction. However, the precision of crowdsourcing traces in urban area is very low because of low-end GPS data devices and urban canyons with tall bui...

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Bibliographic Details
Main Authors: X. Yang, L. Tang
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/257/2016/isprs-archives-XLI-B2-257-2016.pdf