Zobrazeno 1 - 10
of 2 110
pro vyhledávání: '"BRUZZONE, LORENZO"'
Improving hyperspectral image (HSI) semantic segmentation by exploiting complementary information from a supplementary data type (referred to X-modality) is promising but challenging due to differences in imaging sensors, image content, and resolutio
Externí odkaz:
http://arxiv.org/abs/2411.09023
Hyperspectral image (HSI) classification has recently reached its performance bottleneck. Multimodal data fusion is emerging as a promising approach to overcome this bottleneck by providing rich complementary information from the supplementary modali
Externí odkaz:
http://arxiv.org/abs/2406.17679
Publikováno v:
Remote Sensing of Environment, 304, 2024, 114046
Spatiotemporal fusion aims to improve both the spatial and temporal resolution of remote sensing images, thus facilitating time-series analysis at a fine spatial scale. However, there are several important issues that limit the application of current
Externí odkaz:
http://arxiv.org/abs/2310.09517
Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM) allow zero-shot or interactive segmentation of visual contents, thus they are quickly applied in a variety of visual scenes. However, their direct use in many Remote Sensing (RS
Externí odkaz:
http://arxiv.org/abs/2309.01429
The mechanism of connecting multimodal signals through self-attention operation is a key factor in the success of multimodal Transformer networks in remote sensing data fusion tasks. However, traditional approaches assume access to all modalities dur
Externí odkaz:
http://arxiv.org/abs/2304.11381
Autor:
Chen, Yuxing, Bruzzone, Lorenzo
While unsupervised change detection using contrastive learning has been significantly improved the performance of literature techniques, at present, it only focuses on the bi-temporal change detection scenario. Previous state-of-the-art models for im
Externí odkaz:
http://arxiv.org/abs/2304.11375
Autor:
Fletcher, Leigh N., Cavalié, Thibault, Grassi, Davide, Hueso, Ricardo, Lara, Luisa M., Kaspi, Yohai, Galanti, Eli, Greathouse, Thomas K., Molyneux, Philippa M., Galand, Marina, Vallat, Claire, Witasse, Olivier, Lorente, Rosario, Hartogh, Paul, Poulet, François, Langevin, Yves, Palumbo, Pasquale, Gladstone, G. Randall, Retherford, Kurt D., Dougherty, Michele K., Wahlund, Jan-Erik, Barabash, Stas, Iess, Luciano, Bruzzone, Lorenzo, Hussmann, Hauke, Gurvits, Leonid I., Santolik, Ondřej, Kolmasova, Ivana, Fischer, Georg, Müller-Wodarg, Ingo, Piccioni, Giuseppe, Fouchet, Thierry, Gérard, Jean-Claude, Sánchez-Lavega, Agustin, Irwin, Patrick G. J., Grodent, Denis, Altieri, Francesca, Mura, Alessandro, Drossart, Pierre, Kammer, Josh, Giles, Rohini, Cazaux, Stéphanie, Jones, Geraint, Smirnova, Maria, Lellouch, Emmanuel, Medvedev, Alexander S., Moreno, Raphael, Rezac, Ladislav, Coustenis, Athena, Costa, Marc
Publikováno v:
Space Sci Rev. 2023; 219(7): 53
ESA's Jupiter Icy Moons Explorer (JUICE) will provide a detailed investigation of the Jovian system in the 2030s, combining a suite of state-of-the-art instruments with an orbital tour tailored to maximise observing opportunities. We review the Jupit
Externí odkaz:
http://arxiv.org/abs/2304.10229
Semantic Change Detection (SCD) refers to the task of simultaneously extracting the changed areas and the semantic categories (before and after the changes) in Remote Sensing Images (RSIs). This is more meaningful than Binary Change Detection (BCD) s
Externí odkaz:
http://arxiv.org/abs/2212.05245
Autor:
Troumpoukis, Antonis, Klampanos, Iraklis, Pantazi, Despina-Athanasia, Albughdadi, Mohanad, Baousis, Vasileios, Barrilero, Omar, Bojor, Alexandra, Branco, Pedro, Bruzzone, Lorenzo, Chietera, Andreina, Fournand, Philippe, Hall, Richard, Lazzarini, Michele, Luna, Adrian, Nousias, Alexandros, Perentis, Christos, Petrakis, George, Punjani, Dharmen, Röbl, David, Stamoulis, George, Tsalapati, Eleni, Urbanavičiūtė, Indrė, Weikmann, Giulio, Ziouvelou, Xenia, Ziółkowski, Marcin, Koubarakis, Manolis, Karkaletsis, Vangelis
Publikováno v:
In Future Generation Computer Systems November 2024 160:505-521
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation February 2025 136