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GVLiDAR: an interactive web-based visualization framework to support geospatial measures on lidar data
dc.contributor.author | Deibe Seoane, David | |
dc.contributor.author | Amor, Margarita | |
dc.contributor.author | Doallo, Ramón | |
dc.contributor.author | Miranda, David | |
dc.contributor.author | Cordero, Miguel | |
dc.date.accessioned | 2018-08-03T11:57:47Z | |
dc.date.available | 2018-08-03T11:57:47Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Deibe, D., Amor, M., Doallo, R., Miranda, D., & Cordero, M. (2017). GVLiDAR: an interactive web-based visualization framework to support geospatial measures on lidar data. International journal of remote sensing, 38(3), 827-849. | es_ES |
dc.identifier.issn | 0143-1161 | |
dc.identifier.issn | 1366-5901 | |
dc.identifier.uri | http://hdl.handle.net/2183/20942 | |
dc.description.abstract | [Abstract] In recent years lidar technology has experienced a noticeable increase in its relevance and usage in a number of scientific fields. Therefore, software capable of handling lidar data becomes a key point in those fields. In this article, we present GPU-based viewer lidar (GVLiDAR), a novel web framework for visualization and geospatial measurement of lidar data point sets. The design of the framework is focused on achieving three key objectives: performance in terms of real-time interaction, functionality, and online availability for the lidar datasets. All lidar files are pre-processed and stored in a lossless data structure, which minimizes transfer requirements and offers an on-demand lidar data web framework. | es_ES |
dc.description.sponsorship | Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; GRC2013 / 055 | es_ES |
dc.description.sponsorship | Galicia. Consellería de Cultura, Educación e Ordenación Universitaria; R2014/049 | es_ES |
dc.description.sponsorship | Ministerio de Economía y Competitividad; TIN2013-42148-P | es_ES |
dc.description.sponsorship | Ministerio de Economía y Competitividad; TIN2016-75845-P | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Taylor & Francis | es_ES |
dc.relation.uri | https://doi.org/10.1080/01431161.2016.1271476 | es_ES |
dc.subject | Lidar technology | es_ES |
dc.subject | GPU-based viewer lidar | es_ES |
dc.subject | GVLiDAR | es_ES |
dc.subject | Web framework | es_ES |
dc.subject | Geospatial measurement | es_ES |
dc.subject | Data point sets | es_ES |
dc.title | GVLiDAR: an interactive web-based visualization framework to support geospatial measures on lidar data | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/embargoedAccess | es_ES |
UDC.journalTitle | International Journal of Remote Sensing | es_ES |
UDC.volume | 38 | es_ES |
UDC.issue | 3 | es_ES |
UDC.startPage | 827 | es_ES |
UDC.endPage | 849 | es_ES |
dc.identifier.doi | 10.1080/01431161.2016.1271476 |
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