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http://hdl.handle.net/10662/19713
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Campo DC | Valor | idioma |
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dc.contributor.author | Cuartero Sáez, Aurora | - |
dc.contributor.author | Paoletti Ávila, Mercedes Eugenia | - |
dc.contributor.author | Rey Presas, Andrea | - |
dc.contributor.author | Haut Hurtado, Juan Mario | - |
dc.date.accessioned | 2024-02-02T08:59:37Z | - |
dc.date.available | 2024-02-02T08:59:37Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 978-1-6654-2792-0 | - |
dc.identifier.uri | http://hdl.handle.net/10662/19713 | - |
dc.description | Ponencia presentada en IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.Kuala Lumpur, Malaysia, 17-22 July 2022 | - |
dc.description.abstract | Analyzing directional data, in particular circular data, requires methods that are being available in libraries with a well-known prestige as Python including SciPy, NumPy or SciKit-Learn libs. An open-source library has been implemented to be executed by the Python interpreter, called PyCircularStats. Source code: https://github.com/mhaut/pycircularstats The potential of PyCircularStats is shown with an example of analyzing two-dimensional data using circular statistics. The practical case chosen is the positional accuracy analysis of a satellite image of LandSat-8 in Cáceres, Spain, with 99 control points taken with GNSS systems. In this work, the possibilities of two-dimensional data analysis using circular statistics using the PyCircularStats tool with the results of this case of use is presented. | es_ES |
dc.description.sponsorship | The authors wish to acknowledge the funding received from the Consejería de Economía, Ciencia y Agenda Digital of the Junta de Extremadura, the European Regional Development Fund (ERDF) of the European Union through grant reference GR21040 and the Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, Ministerio de Economía y Competitividad (PID2019-105221RB-C42) AEI /10.13039/501100011033. We also wish to thank Cáceres city Council for transfer of the IGCPs data for putting available so many free data of great positional accuracy. | es_ES |
dc.format.extent | 4 p. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.subject | Analysis data | es_ES |
dc.subject | Circular graphical statistics | es_ES |
dc.subject | Geospatial big data | es_ES |
dc.subject | Remote sensing | es_ES |
dc.subject | Análisis de datos | es_ES |
dc.subject | Estadísticas de gráficos circulares | es_ES |
dc.subject | Macrodatos geoespaciales | - |
dc.subject | Teledetección | - |
dc.title | Bi-dimensional vector data analysis of positional accuracy of landsat-8 image with pycircularstats | es_ES |
dc.type | ConferenceObject | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | closedAccess | es_ES |
dc.subject.unesco | 2506.16 Teledetección (Geología) | es_ES |
dc.subject.unesco | 2504.04 Fotogrametría Geodésica | - |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | A. Cuartero, M. E. Paoletti, A. R. Presas and J. M. Haut, "Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 2442-2445, doi: 10.1109/IGARSS46834.2022.9883588. | es_ES |
dc.type.version | publishedVersion | es_ES |
dc.contributor.affiliation | N/A | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Expresión Gráfica | es_ES |
dc.contributor.affiliation | Departamento de Tecnología de los Computadores y de las Comunicaciones | - |
dc.contributor.affiliation | Universidad Complutense de Madrid | - |
dc.contributor.affiliation | Universidad de Santiago de Compostela | - |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9883588 | es_ES |
dc.identifier.doi | 10.1109/IGARSS46834.2022.9883588. | - |
dc.identifier.publicationtitle | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | - |
dc.identifier.publicationfirstpage | 2442 | es_ES |
dc.identifier.publicationlastpage | 2445 | es_ES |
dc.identifier.orcid | 0000-0002-0219-9696 | es_ES |
dc.identifier.orcid | 0000-0003-1030-3729 | es_ES |
dc.identifier.orcid | 0000-0001-6701-961X | es_ES |
Colección: | DEXGR - Artículos |
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Archivo | Descripción | Tamaño | Formato | |
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IGARSS46834_2022_9883588.pdf ???org.dspace.app.webui.jsptag.ItemTag.accessRestricted??? | 1,49 MB | Adobe PDF | Descargar Pide una copia |
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