Zobrazeno 1 - 10
of 20
pro vyhledávání: '"A. M. García Lorca"'
Autor:
García Lorca, Andrés M.
Publikováno v:
DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
instname
instname
Tesis-Universidad de Murcia.
Consulte la tesis en: BCA. GENERAL. ARCHIVO UNIVERSITARIO. T.M.-498.
Consulte la tesis en: BCA. GENERAL. ARCHIVO UNIVERSITARIO. T.M.-498.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::48778a1f58d3a39199443ee3c5fc1060
http://hdl.handle.net/10201/33661
http://hdl.handle.net/10201/33661
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B2, Pp 277-284 (2016)
Digital Elevation Models (DEMs) are considered as one of the most relevant geospatial data to carry out land-cover and land-use classification. This work deals with the application of a mathematical framework based on a Gaussian Markov Random Field
Externí odkaz:
https://doaj.org/article/1ac712f8d50e41439e4ca3c7413bdda1
Autor:
Jose-Luis Blanco, A. M. García Lorca, Manuel A. Aguilar, Fernando J. Aguilar, Abderrahim Nemmaoui
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B2, Pp 277-284 (2016)
Digital Elevation Models (DEMs) are considered as one of the most relevant geospatial data to carry out land-cover and land-use classification. This work deals with the application of a mathematical framework based on a Gaussian Markov Random Field (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ec0321064c944879cc2401278f5dbd2
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/277/2016/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/277/2016/
Autor:
P. Cichon, Emilio Guirado, M. Betlej, Fernando J. Aguilar, Abderrahim Nemmaoui, Claudio Parente, Manuel A. Aguilar, A. M. García Lorca, Andrea Vallario
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B7, Pp 145-152 (2016)
The latest breed of very high resolution (VHR) commercial satellites opens new possibilities for cartographic and remote sensing applications. In this way, object based image analysis (OBIA) approach has been proved as the best option when working wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72660ebe9fc08263ffbf0f6cb3e10d06
http://hdl.handle.net/11367/56645
http://hdl.handle.net/11367/56645
Autor:
SÁNCHEZ ESCOLANO, LUIS MIGUEL1 lmsescolano@ugr.es, TORO SÁNCHEZ, FRANCISCO JAVIER1 fjtoro@ugr.es
Publikováno v:
Cuadernos de Geografía. 2020, Issue 105, p75-96. 22p.
Autor:
Martínez Sánchez, José1 j.martinezsanchez@um.es, Martínez-Carrasco Martínez, Laura2 lmartinez@umh.es
Publikováno v:
Boletín de la Asociación de Geógrafos Españoles. 2019, Issue 80, p1-37. 37p.
Autor:
Gil-Albarellos Pérez-Pedrero, Susana1 susana@fyl.uva.es
Publikováno v:
Tonos Digital: Revista de Estudios Filológicos. jul2018, Issue 35, p1-15. 15p.
Autor:
Aguilar, Manuel A., Jiménez-Lao, Rafael, Ladisa, Claudio, Aguilar, Fernando J., Tarantino, Eufemia
Publikováno v:
GIScience & Remote Sensing; 2022, Vol. 59 Issue 1, p822-842, 21p
Autor:
Aguilar, Fernando J., Fernandez-Luque, Ismael, Aguilar, Manuel A., García Lorca, Andrés M., Viciana, Alfonso R.
Publikováno v:
International Journal of Remote Sensing; Feb2019, Vol. 40 Issue 3, p1148-1174, 27p, 1 Diagram, 7 Charts, 4 Graphs, 3 Maps
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2016, Vol. 41 Issue B2, p277-284, 8p