Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10662/19713
Títulos: | Bi-dimensional vector data analysis of positional accuracy of landsat-8 image with pycircularstats |
Autores/as: | Cuartero Sáez, Aurora Paoletti Ávila, Mercedes Eugenia Rey Presas, Andrea Haut Hurtado, Juan Mario |
Palabras clave: | Analysis data;Circular graphical statistics;Geospatial big data;Remote sensing;Análisis de datos;Estadísticas de gráficos circulares;Macrodatos geoespaciales;Teledetección |
Fecha de publicación: | 2022 |
Editor/a: | IEEE |
Resumen: | 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. |
Descripción: | Ponencia presentada en IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.Kuala Lumpur, Malaysia, 17-22 July 2022 |
URI: | http://hdl.handle.net/10662/19713 |
ISBN: | 978-1-6654-2792-0 |
DOI: | 10.1109/IGARSS46834.2022.9883588. |
Colección: | DEXGR - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
IGARSS46834_2022_9883588.pdf ???org.dspace.app.webui.jsptag.ItemTag.accessRestricted??? | 1,49 MB | Adobe PDF | Descargar Pide una copia |
Este elemento está sujeto a una licencia Licencia Creative Commons