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Towards of multi-source data fusion framework of geo-referenced and non-georeferenced data: prospects for use in surface water bodies

dc.contributor.authorVillalpando Tovalín, Fermín
dc.contributor.authorTuxpan Vargas, José
dc.contributor.authorRamos Leal, José Alfredo
dc.contributor.authorMarín Celestino, Ana Elizabeth
dc.date.accessioned2024-05-30T21:28:26Z
dc.date.available2024-05-30T21:28:26Z
dc.date.issued2023
dc.identifier.citationVillalpando, F., Tuxpan, J., Ramos-Leal, J. A., & Marin, A. E. (2023). Towards of multi-source data fusion framework of geo-referenced and non-georeferenced data: prospects for use in surface water bodies. Geocarto International, 38(1). https://doi.org/10.1080/10106049.2023.2172215
dc.identifier.urihttp://hdl.handle.net/11627/6555
dc.description.abstractThis paper proposes an approach of fusion geo-referenced and non-georeferenced data. These data can be acquired by a) unmanned surface vehicles (USVs), b) unmanned aerial vehicles (UAVs), c) airborne and submersible optical sensors, d) acoustic sensors and e) aquatic sound profiling instruments. The test scenario consisted of monitoring and morphological characterisation of a confined water body. As part of the data integration and processing process, object segmentation modules were implemented for tracking and identification of underwater fauna, accompanied by Structure-from-Motion (SfM) and multi-view stereophotogrammetry (MVS) techniques for 3D reconstruction. The results obtained make it possible to recreate morphological models of the study/test areas by coupling all the existing information above and below the water mirror. The spatial resolution obtained is of centimetric order and the resulting data have the ideal quality to be used in underwater mapping and monitoring, as well as in 3D geomorphological measurements of surface water bodies
dc.publisherTaylor & Francis
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBackground mapping
dc.subjectComputer vision
dc.subjectDatafusion
dc.subjectMultispectral sensor
dc.subjectMultiview-stereophotogrammetry (MVS)
dc.subjectStructure-from-motion (SfM)
dc.subject.classificationGEOLOGÍA
dc.titleTowards of multi-source data fusion framework of geo-referenced and non-georeferenced data: prospects for use in surface water bodies
dc.typearticle
dc.identifier.doihttps://doi.org/10.1080/10106049.2023.2172215
dc.rights.accessAcceso Abierto


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional