510 citations
- Centre National de la Recherche ScientifiqueFR170 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT167 papers
- University of BolognaIT163 papers
- Sapienza University of RomeIT160 papers
- Nagoya UniversityJP159 papers
- University College LondonGB159 papers
- University of BernCH159 papers
- European Organization for Nuclear ResearchCH158 papers
- Stockholm UniversitySE158 papers
- University of PisaIT158 papers
- Humboldt-Universität zu BerlinDE157 papers
- Johannes Gutenberg University MainzDE157 papers
8 papers · 1 filter
Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control
Giuseppe Guarino, Matteo Ciotola, Gemine Vivone +2
Hyperspectral pansharpening has received much attention in recent years due to technological and methodological advances that open the door to new application scenarios. However, r…
Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives
Matteo Ciotola, Giuseppe Guarino, Gemine Vivone +4
Hyperspectral pansharpening consists of fusing a high-resolution panchromatic band and a low-resolution hyperspectral image to obtain a new image with high resolution in both the s…
Pansharpening by convolutional neural networks in the full resolution framework
Matteo Ciotola, Sergio Vitale, Antonio Mazza +2
In recent years, there has been a growing interest in deep learning-based pansharpening. Thus far, research has mainly focused on architectures. Nonetheless, model training is an e…
A New Ratio Image Based CNN Algorithm For SAR Despeckling
Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
In SAR domain many application like classification, detection and segmentation are impaired by speckle. Hence, despeckling of SAR images is the key for scene understanding. Usually…
Guided patch-wise nonlocal SAR despeckling
Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa +2
We propose a new method for SAR image despeckling which leverages information drawn from co-registered optical imagery. Filtering is performed by plain patch-wise nonlocal means, o…
Deep learning for source camera identification on mobile devices
David Freire-Obregón, Fabio Narducci, Silvio Barra +1
In the present paper, we propose a source camera identification method for mobile devices based on deep learning. Recently, convolutional neural networks (CNNs) have shown a remark…