Zobrazeno 1 - 4
of 4
pro vyhledávání: '"A. M. García Lorca"'
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:
Fernando J. Aguilar, Abderrahim Nemmaoui, Manuel A. Aguilar, Mimoun Chourak, Yassine Zarhloule, Andrés M. García Lorca
Publikováno v:
Forests, Vol 7, Iss 1, p 23 (2016)
A quantitative assessment of forest cover change in the Moulouya River watershed (Morocco) was carried out by means of an innovative approach from atmospherically corrected reflectance Landsat images corresponding to 1984 (Landsat 5 Thematic Mapper)
Externí odkaz:
https://doaj.org/article/bb4e47e6259e49c4b92a6c26b9d6a86a