Zobrazeno 1 - 10
of 184
pro vyhledávání: '"A. Nemmaoui"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2022, Pp 251-258 (2022)
Accurate greenhouse mapping can support environment monitoring and resource management. In an object-based image analysis (OBIA) approach focused on plastic covered greenhouses (PCG) classification, the segmentation is a crucial step for the goodness
Externí odkaz:
https://doaj.org/article/61c8fab85238499f918d924c2e832452
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 353-360 (2022)
Effective monitoring of Mediterranean forest is essential to determine the role of forest management in mitigating climate change and ensuring the maintenance of its environmental services. Most of the allometric models to estimate dry above-ground b
Externí odkaz:
https://doaj.org/article/3f2cbe45914c4ac687215034e3270cbc
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:
M. A. Aguilar, F. J. Aguilar, A. García Lorca, E. Guirado, M. Betlej, P. Cichon, A. Nemmaoui, A. Vallario, C. Parente
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 w
Externí odkaz:
https://doaj.org/article/bb677c0fa2a24c7795a6286a4f742557
Autor:
Nemmaoui, Abderrahim1 (AUTHOR) an932@ual.es, Aguilar, Fernando J.1 (AUTHOR), Aguilar, Manuel A.1 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p3974. 29p.
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3974 (2024)
Three raster-based (RB) and one point cloud-based (PCB) algorithms were tested to segment individual Aleppo pine trees and extract their tree height (H) and crown diameter (CD) using two types of point clouds generated from two different techniques:
Externí odkaz:
https://doaj.org/article/72391f1aa5a645baa5c1a07332eea284
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6601-6613 (2023)
Plastic-covered greenhouses (PCG) have been extensively used in agricultural practices around the world. Remote sensing based on spectral indices is a key asset to monitor the spatial distribution of these structures on a large scale. The primary obj
Externí odkaz:
https://doaj.org/article/d1de7378002b484c850ffaabcb4b02d1
Publikováno v:
In International Journal of Information Management Data Insights April 2023 3(1)
Autor:
Fernando J. Aguilar, Francisco A. Rodríguez, Manuel A. Aguilar, Abderrahim Nemmaoui, Flor Álvarez-Taboada
Publikováno v:
Sensors, Vol 24, Iss 4, p 1106 (2024)
The 21st century has seen the launch of new space-borne sensors based on LiDAR (light detection and ranging) technology developed in the second half of the 20th century. Nowadays, these sensors offer novel opportunities for mapping terrain and canopy
Externí odkaz:
https://doaj.org/article/5332c3774c324caea5d4e1918802b565
Publikováno v:
In Theoretical Computer Science 17 January 2023 943:142-152