Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Juan M. Haut"'
Autor:
Juan M. Haut, Sergio Moreno-Alvarez, Rafael Pastor-Vargas, Ambar Perez-Garcia, Mercedes E. Paoletti
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2461-2474 (2024)
Spectral indices are of fundamental importance in providing insights into the distinctive characteristics of oil spills, making them indispensable tools for effective action planning. The normalized difference oil index (NDOI) is a reliable metric an
Externí odkaz:
https://doaj.org/article/ff804793ae3a48298e7fb0d024b3695b
Publikováno v:
Future Internet, Vol 16, Iss 9, p 342 (2024)
With the rapid advancement of the Internet of Things and the emergence of 6G networks in smart city environments, a growth in the generation of data, commonly known as big data, is expected to consequently lead to higher latency. To mitigate this lat
Externí odkaz:
https://doaj.org/article/a68597ffdbe24418a644059158d8794f
Autor:
Mercedes E. Paoletti, Oscar Mogollon-Gutierrez, Sergio Moreno-Alvarez, Jose Carlos Sancho, Juan M. Haut
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5297-5314 (2023)
Land-cover classification is an important topic for remotely sensed hyperspectral (HS) data exploitation. In this regard, HS classifiers have to face important challenges, such as the high spectral redundancy, as well as noise, present in the data, a
Externí odkaz:
https://doaj.org/article/016b030572ee4482ab7bc55dc9d79519
Publikováno v:
IEEE Access, Vol 11, Pp 47552-47562 (2023)
Circular statistics have been developed and used in a wide range of branches of knowledge related to the study and observation of the Earth, such as physical, geographical, ecological, and biological sciences. Both to facilitate its use by a less spe
Externí odkaz:
https://doaj.org/article/37738d6df7ef484fb9a131e2336e7f0a
Autor:
Xuanwen Tao, Mercedes E. Paoletti, Lirong Han, Zhaoyue Wu, Peng Ren, Javier Plaza, Antonio Plaza, Juan M. Haut
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6999-7012 (2022)
Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most traditional hyperspectral unmixing methods require the results of other endmember extraction algorit
Externí odkaz:
https://doaj.org/article/250e5fb8993a4651a8d009eb6f8615c5
Autor:
Alejandro Redondo, Juan M. Haut, Mercedes E. Paoletti, Xuanwen Tao, Javier Plaza, Antonio Plaza
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3026-3039 (2021)
During the past decades, the volume of big data available in remote sensing (RS) applications has grown significantly. In addition, a number of applications related to monitoring human activity are being developed based on this kind of data. This has
Externí odkaz:
https://doaj.org/article/ef10f45f9a2544efb6a86a4cab5ecc18
Autor:
Swalpa Kumar Roy, Purbayan Kar, Mercedes E. Paoletti, Juan M. Haut, Rafael Pastor-Vargas, Antonio Robles-Gomez
Publikováno v:
IEEE Access, Vol 9, Pp 118419-118434 (2021)
Nowadays, deep convolutional neural networks (CNNs) for face recognition exhibit a performance comparable to human ability in the presence of the appropriate amount of labelled training data. However, training CNNs remains as an arduous task due to t
Externí odkaz:
https://doaj.org/article/afb3b9b8e0734f16be91d2062c7c7592
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8689-8702 (2021)
Convolutional neural networks (CNNs) have become quite popular for solving many different tasks in remote sensing data processing. The convolution is a linear operation, which extracts features from the input data. However, nonlinear operations are a
Externí odkaz:
https://doaj.org/article/1640b4d90e424de2ac040c0f120e2c68
Publikováno v:
IEEE Access, Vol 9, Pp 150004-150020 (2021)
The instructional design of meaningful experimental activities completely integrated into on- line Engineering courses is still a significant challenge, by following the sustainable development goal of the United Nations for quality education, the SD
Externí odkaz:
https://doaj.org/article/7a55e3ad12c74350982530b6e2a47304
Publikováno v:
IEEE Access, Vol 8, Pp 179575-179591 (2020)
Detection of surface material based on hyperspectral imaging (HSI) analysis is an important and challenging task in remote sensing. It is widely known that spectral-spatial data exploitation performs better than traditional spectral pixel-wise proced
Externí odkaz:
https://doaj.org/article/220d0639bac942558fdb3bb79ca8e43d