Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Aurora Cuartero"'
Publikováno v:
IEEE Access, Vol 11, Pp 47552-47562 (2023)
Circular statistics have been developed and used in a wide range of branches of knowledge related to the study and observation of the Earth, such as physical, geographical, ecological, and biological sciences. Both to facilitate its use by a less spe
Externí odkaz:
https://doaj.org/article/37738d6df7ef484fb9a131e2336e7f0a
Publikováno v:
Buildings, Vol 12, Iss 6, p 813 (2022)
The main objective of the research consists of quantifying the degree of sustainability of the city of Cáceres in terms of the inhabitant’s accessibility to public services through the use of GIS tools and urban indicators, taking into account two
Externí odkaz:
https://doaj.org/article/2044703884ec476aba54ef249f2d830b
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4132 (2020)
This paper introduces a new method to analyze the positional accuracy of georeferenced satellite images without the use of ground control points. Compared to the traditional method used to carry out this kind of analysis, our approach provides a semi
Externí odkaz:
https://doaj.org/article/dd77f30b59ad43458757aff0f78dfd2a
Publikováno v:
Sensors, Vol 10, Iss 11, Pp 10128-10145 (2010)
This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error v
Externí odkaz:
https://doaj.org/article/f552032a7af84978a7e20146b1a21011
Publikováno v:
Sensors, Vol 9, Iss 11, Pp 9011-9028 (2009)
This work proposes a new method to classify multi-spectral satellite images based on multivariate adaptive regression splines (MARS) and compares this classification system with the more common parallelepiped and maximum likelihood (ML) methods. We a
Externí odkaz:
https://doaj.org/article/ef41caad71ae43fb8ff684d1ac9f7447
Publikováno v:
Remote Sensing, Vol 12, Iss 4132, p 4132 (2020)
This paper introduces a new method to analyze the positional accuracy of georeferenced satellite images without the use of ground control points. Compared to the traditional method used to carry out this kind of analysis, our approach provides a semi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f54ca1f2200ac7e676fa5dc8d0bafc
https://www.mdpi.com/2072-4292/12/24/4132
https://www.mdpi.com/2072-4292/12/24/4132
Autor:
J. C. Ruiz-Cuetos, Pablo G. Rodríguez, Aurora Cuartero, María-Eugenia Polo, Ángel M. Felicísimo
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 11:1200-1204
The use of spherical statistics for comparing and analyzing different digital elevation models (DEMs) is proposed in this letter by the new software package VecStatGraphs3D. Spherical data deal with angular data such as unit vector in 3-D space and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371439a71dabf38375f3cde8e32aab46
https://doi.org/10.1109/lgrs.2013.2288924
https://doi.org/10.1109/lgrs.2013.2288924
Autor:
Pablo G. Rodríguez, Ángel M. Felicísimo, Aurora Cuartero, María-Eugenia Polo, J. C. Ruiz-Cuetos
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 11:921-925
Circular or directional data are used in disciplines such as meteorology, geomatics, biology, and geology. The analysis of angular data requires special methods that are available in some statistical packages. However, these tools analyze only the an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61dbe4a504c55b1c51787de6ced2a883
https://doi.org/10.1109/lgrs.2013.2281840
https://doi.org/10.1109/lgrs.2013.2281840
Publikováno v:
Landslides. 10:175-189
Four statistical techniques for modelling landslide susceptibility were compared: multiple logistic regression (MLR), multivariate adaptive regression splines (MARS), classification and regression trees (CART), and maximum entropy (MAXENT). According
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18b2f744354f3ba244f2d2f302744b08
https://doi.org/10.1007/s10346-012-0320-1
https://doi.org/10.1007/s10346-012-0320-1
Publikováno v:
Sensors, Vol 10, Iss 11, Pp 10128-10145 (2010)
Sensors; Volume 10; Issue 11; Pages: 10128-10145
Sensors (Basel, Switzerland)
Sensors; Volume 10; Issue 11; Pages: 10128-10145
Sensors (Basel, Switzerland)
This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a88ab4282eee1688f2890535de52a83e
https://doi.org/10.3390/s101110128
https://doi.org/10.3390/s101110128