Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Juan José Ruiz-Lendínez"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 5, p 289 (2021)
The continuous development of machine learning procedures and the development of new ways of mapping based on the integration of spatial data from heterogeneous sources have resulted in the automation of many processes associated with cartographic pr
Externí odkaz:
https://doaj.org/article/1c3a068c56974d439704ecfb70593f66
Autor:
Juan José Ruiz-Lendínez
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 191 (2020)
Several studies have demonstrated that farmland abandonment occurs not only in rural areas, but is also closely interlinked with urbanization processes. Therefore, the location of abandoned land and the registration of the spatial information referri
Externí odkaz:
https://doaj.org/article/f64e6aa636474b78ba2f211c44a5d6af
Autor:
José Luis Mesa-Mingorance, Francisco J. Quesada Real, Juan José Ruiz-Lendínez, Manuel Antonio Ureña-Cámara
Publikováno v:
ISPRS Int. J. Geo-Inf. 2021, 10(7), 430
ISPRS International Journal of Geo-Information, Vol 10, Iss 430, p 430 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 7
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
ISPRS International Journal of Geo-Information, Vol 10, Iss 430, p 430 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 7
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (GI). However, none of them address the assessment of IS results from a positional perspective. In a field in which the positional aspect is critical,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf8b144fa4c5c0b08ca6f79a967097f
http://hdl.handle.net/10498/25641
http://hdl.handle.net/10498/25641
Publikováno v:
Survey Review. 51:123-134
Nowadays, an important problem in combining vector data and imagery is that they rarely align. This problem can become particularly acute in the case of cadastral systems. In this study, and as part of the partnership between the Universities of Jaen
Publikováno v:
Survey Review. 48:269-277
This paper is based on our earlier paper (Ruiz-Lendinez et al., 2013) of this work and its new contribution is to develop a point-based methodology for the automatic assessment of positional and geometric components of spatial data. The starting poin
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 6; Issue 12; Pages: 399
ISPRS International Journal of Geo-Information, Vol 6, Iss 12, p 399 (2017)
ISPRS International Journal of Geo-Information, Vol 6, Iss 12, p 399 (2017)
A methodology for matching bidimensional entities is presented in this paper. The matching is proposed for both area and point features extracted from geographical databases. The procedure used to obtain homologous entities is achieved in a two-step
Publikováno v:
Acta Universitatis Lodziensis. Folia Geographica Socio-Oeconomica.
Since the beginning of the socio-economic transformation in Poland we have witnessed a steady reduction of agricultural land. It has taken place mainly as a result of the process of taking out farmland from agricultural production to be used for inve
Publikováno v:
Survey Review. 45:332-342
In this paper, we present a methodology for automating the positional assessment of vector geospatial databases (GDBs). We establish a framework which works with a non-punctual perspective of the accuracy assessment problem, i.e. considering polygons
Autor:
J L Mesa-Mingorance, Antonio M. Ruiz-Armenteros, M I Ramos-Galán, José L. García-Balboa, Juan José Ruiz-Lendínez
Publikováno v:
Survey Review. 45:305-314
One of the sources of uncertainty in the measurement of a horizontal angle in surveying comes from the instrument centring. There are two ways of evaluating the uncertainty coming from this source. One is to assume that the instrument centring uncert
Autor:
Manuel Antonio Ureña-Cámara, José L. García-Balboa, José Rodríguez-Avi, A. T. Mozas-Calvache, Francisco Javier Ariza-López, Juan José Ruiz-Lendínez, Virtudes Alba-Fernández
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 66:708-719
Sample size influences considerably the variability of results of estimation processes, but this issue has never previously been analyzed for line-based positional assessment methods. The basis of the analysis is a simulation process which extracts h