Search Results - "Ciotola, Matteo"

Full-Resolution Quality Assessment for Pansharpening by Scarpa, Giuseppe, Ciotola, Matteo

“…A reliable quality assessment procedure for pansharpening methods is of critical importance for the development of the related solutions. Unfortunately, the…”
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Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework by Ciotola, Matteo, Scarpa, Giuseppe

“…In the last few years, there has been a renewed interest in data fusion techniques, and, in particular, in pansharpening due to a paradigm shift from…”
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An Unsupervised CNN-Based Pansharpening Framework with Spectral-Spatial Fidelity Balance by Ciotola, Matteo, Guarino, Giuseppe, Scarpa, Giuseppe

“…In recent years, deep learning techniques for pansharpening multiresolution images have gained increasing interest. Due to the lack of ground truth data, most…”
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Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity by Ciotola, Matteo, Poggi, Giovanni, Scarpa, Giuseppe

“…In latest years, deep learning (DL) has gained a leading role in the pansharpening of multiresolution images. Given the lack of ground truth data, most…”
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Pansharpening by Convolutional Neural Networks in the Full Resolution Framework by Ciotola, Matteo, Vitale, Sergio, Mazza, Antonio, Poggi, Giovanni, Scarpa, Giuseppe

“…In recent years, there has been a growing interest in deep learning-based pansharpening. Thus far, research has mainly focused on architectures. Nonetheless,…”
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Band-Wise Hyperspectral Image Pansharpening Using CNN Model Propagation by Guarino, Giuseppe, Ciotola, Matteo, Vivone, Gemine, Scarpa, Giuseppe

“…Hyperspectral (HS) pansharpening has received a growing interest in the last few years as testified by a large number of research papers and challenges. It…”
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PCA-CNN Hybrid Approach for Hyperspectral Pansharpening by Guarino, Giuseppe, Ciotola, Matteo, Vivone, Gemine, Poggi, Giovanni, Scarpa, Giuseppe

“…This work proposes a simple yet effective method to adapt unsupervised convolutional neural networks (CNNs) from multispectral (MS) to hyperspectral (HS)…”
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Full-resolution quality assessment for pansharpening by Scarpa, Giuseppe, Ciotola, Matteo

“…Remote Sensing, 14 (2022), 1808 A reliable quality assessment procedure for pansharpening methods is of critical importance for the development of the related…”
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Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity by Ciotola, Matteo, Poggi, Giovanni, Scarpa, Giuseppe

“…In latest years, deep learning has gained a leading role in the pansharpening of multiresolution images. Given the lack of ground truth data, most deep…”
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Hybrid GSA-CNN Method for Hyperspectral Pansharpening by Guarino, Giuseppe, Ciotola, Matteo, Poggi, Giovanni, Vivone, Gemine, Scarpa, Giuseppe

“…This work proposes a hybrid approach to address the pansharpening of hyperspectral images, which mixes the use of a recently proposed CNN-based solution and a…”
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Balancing Spectral and Spatial Quality in CNN-Based Unsupervised Pansharpening by Ciotola, Matteo, Guarino, Giuseppe, Poggi, Giovanni, Scarpa, Giuseppe

“…In the last years it has been observed a growing interest toward deep leaning techniques for the pansharpening of multiresolution images. Due to the lack of…”
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Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation by Guarino, Giuseppe, Ciotola, Matteo, Vivone, Gemine, Scarpa, Giuseppe

“…Hyperspectral pansharpening is receiving a growing interest since the last few years as testified by a large number of research papers and challenges. It…”
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A full-resolution training framework for Sentinel-2 image fusion by Ciotola, Matteo, Ragosta, Mario, Poggi, Giovanni, Scarpa, Giuseppe

“…2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, pp. 1260-1263 This work presents a new unsupervised framework…”
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Synergic Use of SAR and Optical Data for Feature Extraction by Mazza, Antonio, Ciotola, Matteo, Poggi, Giovanni, Scarpa, Giuseppe

“…Optical remote sensing images are subject to cloud phenomena that can cause information loss in Earth observation. The main alternative is represented by the…”
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Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives by Ciotola, Matteo, Guarino, Giuseppe, Vivone, Gemine, Poggi, Giovanni, Chanussot, Jocelyn, Plaza, Antonio, Scarpa, Giuseppe

“…Hyperspectral pansharpening consists of fusing a high-resolution panchromatic band and a low-resolution hyperspectral image to obtain a new image with high…”
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Pansharpening by convolutional neural networks in the full resolution framework by Ciotola, Matteo, Vitale, Sergio, Mazza, Antonio, Poggi, Giovanni, Scarpa, Giuseppe

“…IEEE Transactions on Geoscience and Remote Sensing In recent years, there has been a growing interest in deep learning-based pansharpening. Thus far, research…”
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Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity by Ciotola, Matteo, Poggi, Giovanni, Scarpa, Giuseppe

“…In latest years, deep learning (DL) has gained a leading role in the pansharpening of multiresolution images. Given the lack of ground truth data, most…”
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