Zobrazeno 1 - 10
of 471
pro vyhledávání: '"P. Nascetti"'
Autor:
Menichelli, M., Antognini, L., Aziz, S., Bashiri, A., Bizzarri, M., Calcagnile, L., Caprai, M., Caputo, D., Caricato, A. P., Catalano, R., Chilà, D., Cirrone, G. A. P., Croci, T., Cuttone, G., De Cesare, G., Dunand, S., Fabi, M., Frontini, L., Grimani, C., Ionica, M., Kanxheri, K., Large, M., Liberali, V., Lovecchio, N., Martino, M., Maruccio, G., Mazza, G., Monteduro, A. G., Morozzi, A., Moscatelli, F., Nascetti, A., Pallotta, S., Papi, A., Passeri, D., Pedio, M., Petasecca, M., Petringa, G., Peverini, F., Piccolo, L., Placidi, P., Quarta, G., Rizzato, S., Rossi, G., Sabbatini, F., Servoli, L., Stabile, A., Talamonti, C., Thomet, J. E., Tosti, L., Villani, M., Wheadon, R. J., Wyrsch, N., Zema, N.
Hydrogenated amorphous silicon (a-Si:H) is a material having an intrinsically high radiation hardness that can be deposited on flexible substrates like Polyimide. For these properties a-Si:H can be used for the production of flexible sensors. a-Si:H
Externí odkaz:
http://arxiv.org/abs/2310.00495
Accurate estimation of building heights is essential for urban planning, infrastructure management, and environmental analysis. In this study, we propose a supervised Multimodal Building Height Regression Network (MBHR-Net) for estimating building he
Externí odkaz:
http://arxiv.org/abs/2307.01378
Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas. While data sources like Sentinel-2 provide rich optical information, they are often hindered by cloud cover, limiting their usa
Externí odkaz:
http://arxiv.org/abs/2306.08935
Accurate urban maps provide essential information to support sustainable urban development. Recent urban mapping methods use multi-modal deep neural networks to fuse Synthetic Aperture Radar (SAR) and optical data. However, multi-modal networks may r
Externí odkaz:
http://arxiv.org/abs/2304.05080
Human civilization has an increasingly powerful influence on the earth system. Affected by climate change and land-use change, natural disasters such as flooding have been increasing in recent years. Earth observations are an invaluable source for as
Externí odkaz:
http://arxiv.org/abs/2212.03675
Building change detection is essential for monitoring urbanization, disaster assessment, urban planning and frequently updating the maps. 3D structure information from airborne light detection and ranging (LiDAR) is very effective for detecting urban
Externí odkaz:
http://arxiv.org/abs/2204.12535
In this study, a Semi-Supervised Learning (SSL) method for improving urban change detection from bi-temporal image pairs was presented. The proposed method adapted a Dual-Task Siamese Difference network that not only predicts changes with the differe
Externí odkaz:
http://arxiv.org/abs/2204.12202
Due to climate and land-use change, natural disasters such as flooding have been increasing in recent years. Timely and reliable flood detection and mapping can help emergency response and disaster management. In this work, we propose a flood detecti
Externí odkaz:
http://arxiv.org/abs/2204.09387
Autor:
Francesca Peverini, Saba Aziz, Aishah Bashiri, Marco Bizzarri, Maurizio Boscardin, Lucio Calcagnile, Carlo Calcatelli, Daniela Calvo, Silvia Caponi, Mirco Caprai, Domenico Caputo, Anna Paola Caricato, Roberto Catalano, Roberto Cirro, Giuseppe Antonio Pablo Cirrone, Michele Crivellari, Tommaso Croci, Giacomo Cuttone, Gianpiero de Cesare, Paolo De Remigis, Sylvain Dunand, Michele Fabi, Luca Frontini, Livio Fanò, Benedetta Gianfelici, Catia Grimani, Omar Hammad, Maria Ionica, Keida Kanxheri, Matthew Large, Francesca Lenta, Valentino Liberali, Nicola Lovecchio, Maurizio Martino, Giuseppe Maruccio, Giovanni Mazza, Mauro Menichelli, Anna Grazia Monteduro, Francesco Moscatelli, Arianna Morozzi, Augusto Nascetti, Stefania Pallotta, Andrea Papi, Daniele Passeri, Marco Petasecca, Giada Petringa, Igor Pis, Pisana Placidi, Gianluca Quarta, Silvia Rizzato, Alessandro Rossi, Giulia Rossi, Federico Sabbatini, Andrea Scorzoni, Leonello Servoli, Alberto Stabile, Silvia Tacchi, Cinzia Talamonti, Jonathan Thomet, Luca Tosti, Giovanni Verzellesi, Mattia Villani, Richard James Wheadon, Nicolas Wyrsch, Nicola Zema, Maddalena Pedio
Publikováno v:
Nanomaterials, Vol 14, Iss 19, p 1551 (2024)
This paper presents a comprehensive study of hydrogenated amorphous silicon (a-Si)-based detectors, utilizing electrical characterization, Raman spectroscopy, photoemission, and inverse photoemission techniques. The unique properties of a-Si have spa
Externí odkaz:
https://doaj.org/article/9eaf62f36ee14b0dbd1b62f224c8c9ad
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103635- (2024)
In this study, we propose a novel unsupervised Change Detection (CD) model to detect flood extent using Synthetic Aperture Radar (SAR) time series data. The proposed model is based on a spatiotemporal variational autoencoder, trained with reconstruct
Externí odkaz:
https://doaj.org/article/b955c150f0854e4dbbc467f889352631