Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vo, Anh-Vu | - |
dc.contributor.author | Laefer, Debra F. | - |
dc.contributor.author | Bertolotto, Michela | - |
dc.date.accessioned | 2018-04-02T16:01:59Z | - |
dc.date.available | 2018-04-02T16:01:59Z | - |
dc.date.issued | 2016-11 | - |
dc.identifier.citation | Anh-Vu Vo, Debra F. Laefer & Michela Bertolotto (2016) Airborne laser scanning data storage and indexing: state-of-the-art review, International Journal of Remote Sensing, 37:24, 6187-6204, DOI: 10.1080/01431161.2016.1256511 | en |
dc.identifier.uri | http://hdl.handle.net/2451/41729 | - |
dc.description | The published version of this article can be accessed here: https://www.tandfonline.com/doi/full/10.1080/01431161.2016.1256511?scroll=top&needAccess=true | en |
dc.description.abstract | While the rapid growth in the availability and quality of airborne laser scanning data o↵ers unprecedented information, it challenges the existing data management and dissemination solutions. Data management has become a bottleneck to e↵ective laser scanning data exploration. This paper documents the state-of-the-art techniques for aerial laser scanning data storage and indexing during the post-processing stage. A brief history of laser scanning technology is presented with the intention to o↵er an overview about the evolution of the technology from the data point of view inclusive of full waveform data management. The key strategies for data handling, including data modelling and indexing are extensively discussed. | en |
dc.description.sponsorship | European Research Council grant ERC-2012-StG 20111012 “RE-TURN - Rethinking Tunnelling in Urban Neighbourhoods” Project 307836 | en |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.subject | LiDAR | en |
dc.subject | airborne laser scanning | en |
dc.subject | spatial indexing | en |
dc.subject | spatial database | en |
dc.subject | spatial data storage | en |
dc.title | Airborne laser scanning data storage and indexing: state-of-the-art review | en |
dc.type | Article | en |
dc.identifier.DOI | https://doi.org/10.1080/01431161.2016.1256511/ | - |
prism.endingPage | 6204 | en |
prism.issueIdentifier | 24 | en |
prism.publicationName | International Journal of Remote Sensing | en |
prism.startingPage | 6187 | en |
prism.volume | 37 | en |
Appears in Collections: | Debra Laefer's Collection |
Files in This Item:
File | Description | Size | Format | |
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soa_tres_.pdf | Post-print | 545.81 kB | Adobe PDF | View/Open |
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