Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Siham Tabik"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12797-12810 (2024)
The availability of high-resolution satellite images has accelerated the creation of new datasets designed to tackle broader remote sensing (RS) problems. Although popular tasks, such as scene classification, have received significant attention, the
Externí odkaz:
https://doaj.org/article/340a1503e52e4642a86d972f6b890019
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4626-4645 (2024)
Remotely sensed data are dominated by mixed land use and land cover (LULC) types. Spectral unmixing (SU) is a key technique that disentangles mixed pixels into constituent LULC types and their abundance fractions. While existing studies on deep learn
Externí odkaz:
https://doaj.org/article/28fa2fcc781c495cb33e09d179cfb08a
Autor:
Yassir Benhammou, Domingo Alcaraz-Segura, Emilio Guirado, Rohaifa Khaldi, Boujemâa Achchab, Francisco Herrera, Siham Tabik
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-20 (2022)
Measurement(s) land cover • land use Technology Type(s) satellite imaging of a planet
Externí odkaz:
https://doaj.org/article/62f9d35a185c4aa0b242ebcc7552e3df
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 944-955 (2022)
The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a qui
Externí odkaz:
https://doaj.org/article/411e2490ee404e3fbb5e876887db6809
Autor:
Francisco Perez-Hernandez, Jose Rodriguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12149-12162 (2021)
The detection of critical infrastructures in large territories represented by aerial and satellite images is of high importance in several fields such as in security, anomaly detection, land use planning, and land use change detection. However, the d
Externí odkaz:
https://doaj.org/article/7d81975f2b57435fb0f6cf936a1a000c
Autor:
Andres J. Sanchez-Fernandez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Perez, Yvan Saeys, Francisco Herrera, Siham Tabik
Publikováno v:
IEEE Access, Vol 8, Pp 124236-124253 (2020)
Latent fingerprint identification is one of the most essential identification procedures in criminal investigations. Addressing this task is challenging as (i) it requires analyzing massive databases in reasonable periods and (ii) it is commonly solv
Externí odkaz:
https://doaj.org/article/27a6ba6aff1149c09cd29d1a5d70535a
Publikováno v:
Sensors, Vol 21, Iss 5, p 1617 (2021)
Olive tree growing is an important economic activity in many countries, mostly in the Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent intensification techniques organize olive groves in hedgerows, most olive groves a
Externí odkaz:
https://doaj.org/article/3ca67ef713004a54b0bf1e071642ef60
Autor:
Emilio Guirado, Javier Blanco-Sacristán, Emilio Rodríguez-Caballero, Siham Tabik, Domingo Alcaraz-Segura, Jaime Martínez-Valderrama, Javier Cabello
Publikováno v:
Sensors, Vol 21, Iss 1, p 320 (2021)
Vegetation generally appears scattered in drylands. Its structure, composition and spatial patterns are key controls of biotic interactions, water, and nutrient cycles. Applying segmentation methods to very high-resolution images for monitoring chang
Externí odkaz:
https://doaj.org/article/d5c0731412354cf0aac07a42a34634f4
Autor:
Emilio Guirado, Domingo Alcaraz-Segura, Javier Cabello, Sergio Puertas-Ruíz, Francisco Herrera, Siham Tabik
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 343 (2020)
Accurate tree cover mapping is of paramount importance in many fields, from biodiversity conservation to carbon stock estimation, ecohydrology, erosion control, or Earth system modelling. Despite this importance, there is still uncertainty about glob
Externí odkaz:
https://doaj.org/article/54993e9aa9b64c6a9946b3051d03c66c
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017)
In the last five years, deep learning methods and particularly Convolutional Neural Networks (CNNs) have exhibited excellent accuracies in many pattern classification problems. Most of the state-of-the-art models apply data-augmentation techniques at
Externí odkaz:
https://doaj.org/article/54ab2b6cfa1e408d851fc00c74c35dc3