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Andrea Marinoni
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2020 – today
- 2024
- [i6]Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson:
Responsible AI for Earth Observation. CoRR abs/2405.20868 (2024) - 2023
- [j36]Debanshu Ratha, Andrea Marinoni, Torbjørn Eltoft:
A Generalized Geodesic Distance-Based Approach for Analysis of SAR Observations Across Polarimetric Modes. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j35]Saloua Chlaily, Debanshu Ratha, Pigi Lozou, Andrea Marinoni:
On Measures of Uncertainty in Classification. IEEE Trans. Signal Process. 71: 3710-3725 (2023) - [c34]Andrea Marinoni, Marine Mercier, Qian Shi, Sivasakthy Selvakumaran, Mark Girolami:
Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning. ICASSP 2023: 1-5 - [i5]Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami:
Improving embedding of graphs with missing data by soft manifolds. CoRR abs/2311.17598 (2023) - 2022
- [j34]Salman Khaleghian, Habib Ullah, Einar Broch Johnsen, Anders Andersen, Andrea Marinoni:
AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning. IEEE Access 10: 84569-84578 (2022) - [j33]Mengxi Liu, Qian Shi, Andrea Marinoni, Da He, Xiaoping Liu, Liangpei Zhang:
Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c33]Yubao Qiu, Feng Xiahou, Guoqiang Jia, Andrea Marinoni, Qinghuan Li, Huadong Guo:
Impacts of Gas Flaring to the Vegetation Changes in West Siberia Area and Timan Pechora Basins. IGARSS 2022: 5291-5292 - [c32]Sivasakthy Selvakumaran, Iain Rolland, Luke Cullen, Andrea Marinoni:
Remote Sensing for Search and Rescue Operations: Two Methods Studying the 2020 Beirut Blast. IGARSS 2022: 5297-5300 - 2021
- [j32]Salman Khaleghian, Habib Ullah, Thomas Krämer, Nick Hughes, Torbjørn Eltoft, Andrea Marinoni:
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks. Remote. Sens. 13(9): 1734 (2021) - [j31]Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Wolfgang Dierking, Frode Dinessen, Andrea Marinoni:
Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9025-9037 (2021) - [j30]Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky:
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9038-9063 (2021) - [j29]Salman Khaleghian, Habib Ullah, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni:
Deep Semisupervised Teacher-Student Model Based on Label Propagation for Sea Ice Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10761-10772 (2021) - [j28]Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Andrea Marinoni:
A Multimodal Feature Selection Method for Remote Sensing Data Analysis Based on Double Graph Laplacian Diagonalization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11546-11566 (2021) - [j27]Saloua Chlaily, Mauro Dalla Mura, Jocelyn Chanussot, Christian Jutten, Paolo Gamba, Andrea Marinoni:
Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection. IEEE Trans. Geosci. Remote. Sens. 59(7): 5598-5618 (2021) - [c31]Iain Rolland, Andrea Marinoni, Sivasakthy Selvakumaran:
Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples. CIKM Workshops 2021 - [c30]Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni:
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. CIKM Workshops 2021 - [c29]Gabriel Martín, Sivasakthy Selvakumaran, Andrea Marinoni, Zahra Sadeghi, Campbell R. Middleton:
Structural Health Monitoring on Urban Areas by Using Multi Temporal Insar and Deep Learning. IGARSS 2021: 176-179 - [c28]Habib Ullah, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni:
A Noise-Aware Deep Learning Model for Sea Ice Classification Based on Sentinel-1 Sar Imagery. IGARSS 2021: 816-819 - [c27]Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Paolo Gamba, Andrea Marinoni:
Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization. IGARSS 2021: 4007-4010 - [c26]Saloua Chlaily, Dino Ienco, Christian Jutten, Andrea Marinoni:
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization. SSP 2021: 151-155 - [i4]Mengxi Liu, Qian Shi, Andrea Marinoni, Da He, Xiaoping Liu, Liangpei Zhang:
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions. CoRR abs/2103.00188 (2021) - [i3]Andrea Marinoni, Saloua Chlaily, Eduard Khachatrian, Torbjørn Eltoft, Sivasakthy Selvakumaran, Mark Girolami, Christian Jutten:
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction. CoRR abs/2105.03682 (2021) - [i2]Qian Shi, Xiaolei Qin, Lingyu Sun, Zitao Shen, Xiaoping Liu, Xiaocong Xu, Jiaxin Tian, Rong Liu, Andrea Marinoni:
Improving Global Forest Mapping by Semi-automatic Sample Labeling with Deep Learning on Google Earth Images. CoRR abs/2108.04173 (2021) - [i1]Andrea Marinoni, Christian Jutten, Mark Girolami:
A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection. CoRR abs/2112.04388 (2021) - 2020
- [j26]Yao Liu, Lianru Gao, Chenchao Xiao, Ying Qu, Ke Zheng, Andrea Marinoni:
Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning. Remote. Sens. 12(11): 1780 (2020) - [j25]Zhicheng Wang, Lina Zhuang, Lianru Gao, Andrea Marinoni, Bing Zhang, Michael K. Ng:
Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. Remote. Sens. 12(24): 4117 (2020) - [j24]Fábio M. Bayer, Débora M. Bayer, Andrea Marinoni, Paolo Gamba:
A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation. IEEE Trans. Geosci. Remote. Sens. 58(7): 4989-4999 (2020) - [j23]Sivasakthy Selvakumaran, Cristian Rossi, Andrea Marinoni, Graham Webb, John Bennetts, Elena Barton, Simon Plank, Campbell R. Middleton:
Combined InSAR and Terrestrial Structural Monitoring of Bridges. IEEE Trans. Geosci. Remote. Sens. 58(10): 7141-7153 (2020) - [c25]Andrea Marinoni, Gianni Cristian Iannelli, Salman Khaleghian, Paolo Gamba:
On the Optimal Design of Convolutional Neural Networks for Earth Observation Data Analysis by Maximization of Information Extraction. IGARSS 2020: 3505-3508 - [c24]Andrea Marinoni, Saloua Chlaily, Christian Jutten:
Addressing Reliability of Multimodal Remote Sensing to Enhance Multisensor Data Fusion and Transfer Learning. IGARSS 2020: 3896-3899
2010 – 2019
- 2019
- [j22]Wenfei Luo, Lianru Gao, Ruihao Zhang, Andrea Marinoni, Bing Zhang:
Bilinear normal mixing model for spectral unmixing. IET Image Process. 13(2): 344-354 (2019) - [j21]Shuyuan Xu, Jun Li, Mahdi Khodadadzadeh, Andrea Marinoni, Paolo Gamba, Bo Li:
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(4): 1265-1278 (2019) - [j20]Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Somdatta Chakravortty:
DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 57(7): 4309-4321 (2019) - [j19]Andrea Marinoni, Paolo Gamba:
Improving Reliability in Nonlinear Hyperspectral Unmixing by Multidimensional Structural Optimization. IEEE Trans. Geosci. Remote. Sens. 57(8): 5211-5223 (2019) - [c23]David Marzi, Andrea Marinoni, Paolo Gamba:
Mapping Mineral Abundances on the Moon Surface using Chang'E-1 IIM Data. IGARSS 2019: 4917-4920 - [c22]Andrea Marinoni, Martine Mostervik Espeseth, Paolo Gamba, Camilla Brekke, Torbjørn Eltoft:
Assessment of Polarimetric Variability by Distance Geometry for Enhanced Classification of Oil Slicks Using SAR. IGARSS 2019: 5217-5220 - [c21]Andrea Marinoni, Uta Heiden, Paolo Gamba:
Human settlement and infrastructure monitoring with hyperspectral imaging. JURSE 2019: 1-4 - 2018
- [j18]Yuanchao Su, Andrea Marinoni, Jun Li, Javier Plaza, Paolo Gamba:
Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 15(9): 1427-1431 (2018) - [j17]Maofeng Tang, Bing Zhang, Andrea Marinoni, Lianru Gao, Paolo Gamba:
Multiharmonic Postnonlinear Mixing Model for Hyperspectral Nonlinear Unmixing. IEEE Geosci. Remote. Sens. Lett. 15(11): 1765-1769 (2018) - [j16]Xuran Pan, Lianru Gao, Andrea Marinoni, Bing Zhang, Fan Yang, Paolo Gamba:
Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network. Remote. Sens. 10(5): 743 (2018) - [j15]Jianhang Ma, Wenjuan Zhang, Andrea Marinoni, Lianru Gao, Bing Zhang:
An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images. Remote. Sens. 10(9): 1388 (2018) - [j14]Maofeng Tang, Lianru Gao, Andrea Marinoni, Paolo Gamba, Bing Zhang:
Integrating Spatial Information in the Normalized P-Linear Algorithm for Nonlinear Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1179-1190 (2018) - [j13]Andrea Marinoni, Javier Plaza, Antonio Plaza, Paolo Gamba:
Estimating Nonlinearities in p-Linear Hyperspectral Mixtures. IEEE Trans. Geosci. Remote. Sens. 56(11): 6586-6595 (2018) - [c20]Andrea Marinoni, Paolo Gamba:
Structural Optimization For Accurate Characterization Of Urban Areas In Hyperspectral Datasets. IGARSS 2018: 1644-1647 - [c19]Andrea Marinoni, Paolo Gamba, Daniele De Vecchi, Devis Tuia:
Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction. IGARSS 2018: 2062-2065 - [c18]Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Yuancheng Huang:
Deep Auto-Encoder Network for Hyperspectral Image Unmixing. IGARSS 2018: 6400-6403 - 2017
- [j12]Andrea Marinoni, Harold Clenet:
Higher Order Nonlinear Hyperspectral Unmixing for Mineralogical Analysis Over Extraterrestrial Bodies. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3722-3733 (2017) - [j11]Andrea Marinoni, Paolo Gamba:
Unsupervised Data Driven Feature Extraction by Means of Mutual Information Maximization. IEEE Trans. Computational Imaging 3(2): 243-253 (2017) - [j10]Andrea Marinoni, Antonio Plaza, Paolo Gamba:
A Novel Preunmixing Framework for Efficient Detection of Linear Mixtures in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 55(8): 4325-4333 (2017) - [j9]Andrea Marinoni, Gianni Cristian Iannelli, Paolo Gamba:
An Information Theory-Based Scheme for Efficient Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 55(10): 5864-5876 (2017) - [c17]Andrea Marinoni, Paolo Gamba:
On the direct assessment of endmember fractions in hyperspectral images. IGARSS 2017: 197-200 - [c16]Yuanchao Su, Andrea Marinoni, Jun Li, Antonio Plaza, Paolo Gamba:
Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images. IGARSS 2017: 205-208 - [c15]Maofeng Tang, Lianru Gao, Andrea Marinoni, Bing Zhang:
Nonlinear hyperspectral unmixing based on normalized P-linear algorithm. IGARSS 2017: 1145-1148 - 2016
- [j8]Andrea Marinoni, Paolo Gamba:
Accurate Detection of Anthropogenic Settlements in Hyperspectral Images by Higher Order Nonlinear Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(5): 1792-1801 (2016) - [j7]Andrea Marinoni, Antonio Plaza, Paolo Gamba:
Harmonic Mixture Modeling for Efficient Nonlinear Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4247-4256 (2016) - [j6]Wenfei Luo, Lianru Gao, Antonio Plaza, Andrea Marinoni, Bin Yang, Liang Zhong, Paolo Gamba, Bing Zhang:
A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5776-5790 (2016) - [c14]Andrea Marinoni, Antonio J. Plaza, Paolo Gamba:
On the detection of linear mixtures in hyperspectral images. IGARSS 2016: 6990-6993 - [c13]Andrea Marinoni, Harold Clenet:
Identification of mafic minerals on Mars by nonlinear hyperspectral unmixing. WHISPERS 2016: 1-4 - [c12]Andrea Marinoni, Javier Plaza, Antonio Plaza, Paolo Gamba:
An iterative enhancement of higher order nonlinear mixture model for accurate hyperspectral unmixing. WHISPERS 2016: 1 - 2015
- [j5]Andrea Marinoni, Ettore Rizzo, Ivan Limongelli, Paolo Gamba, Riccardo Bellazzi:
A kinetic model-based algorithm to classify NGS short reads by their allele origin. J. Biomed. Informatics 53: 121-127 (2015) - [j4]Andrea Marinoni, Paolo Gamba:
A Novel Approach for Efficient p-Linear Hyperspectral Unmixing. IEEE J. Sel. Top. Signal Process. 9(6): 1156-1168 (2015) - [j3]Andrea Marinoni, Javier Plaza, Antonio Plaza, Paolo Gamba:
Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2644-2654 (2015) - [j2]Andrea Marinoni, Paolo Gamba:
An Efficient Approach for Local Affinity Pattern Detection in Remotely Sensed Big Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(10): 4622-4633 (2015) - [c11]Andrea Marinoni, Paolo Gamba:
Nonlinear endmember extraction in earth observations and astroinformatics data interpretation and compression. IGARSS 2015: 1500-1503 - [c10]Andrea Marinoni, Arianna Dagliati, Riccardo Bellazzi, Paolo Gamba:
Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case. IGARSS 2015: 3937-3940 - [c9]Andrea Marinoni, Paolo Gamba:
On the effect of nonlinear mixing in hyperspectral images of human settlements. JURSE 2015: 1-4 - [c8]Arianna Dagliati, Andrea Marinoni, Carlo Cerra, Paolo Gamba, Riccardo Bellazzi:
On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps. MedInfo 2015: 1048 - [c7]Andrea Marinoni, Paolo Gamba:
Order-∞ nonlinear hyperspectral unmixing by sinusoidal polytope decomposition. WHISPERS 2015: 1-4 - [c6]Andrea Marinoni, Rachel L. Klima, Paolo Gamba:
Characterizing dark spectra in mercury surface observations by nonlinear hyperspectral modeling. WHISPERS 2015: 1-4 - 2014
- [c5]Andrea Marinoni, Ettore Rizzo, Paolo Gamba, Riccardo Bellazzi, Ivan Limongelli:
Kimimila: A New Model to Classify NGS Short Reads by Their Allele Origin. ICHI 2014: 340-342 - [c4]Andrea Marinoni, Paolo Gamba:
Non-linear hyperspectral unmixing by polytope decomposition. WHISPERS 2014: 1-4 - [c3]Andrea Marinoni, Javier Plaza, Antonio Plaza, Paolo Gamba:
Integrating multiple nonlinear estimators into hyperspectral unmixing. WHISPERS 2014: 1-4 - 2013
- [j1]Andrea Marinoni, Pietro Savazzi, Paolo Gamba:
Efficient detection and decoding of q-ary LDPC coded signals over partial response channels. EURASIP J. Wirel. Commun. Netw. 2013: 18 (2013) - 2011
- [c2]Andrea Marinoni, Pietro Savazzi, Richard D. Wesel:
On q-ary LDPC Code Design for a Low Error Floor. GLOBECOM 2011: 1-6 - 2010
- [c1]Andrea Marinoni, Pietro Savazzi:
Efficient Receivers for q-ary LDPC Coded Signals over Partial Response Channels. ICC 2010: 1-6
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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