Claudia Paris

发表

Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions

Yady Tatiana Solano Correa, Francesca Bovolo, Lorenzo Bruzzone, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

A Fast Method for Cloud Removal and Image Restoration on Time Series of Multispectral Images

Lorenzo Bruzzone, Claudia Paris, Manuel Bertoluzza, 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

A novel data-driven approach to tree species classification using high density multireturn airborne lidar data

Francesca Bovolo, Lorenzo Bruzzone, Aravind Harikumar, 2018, Remote Sensing.

A study of the robustness of the long short-term memory classifier to cloudy time series of multispectral images

Lorenzo Bruzzone, Claudia Paris, Iwona Podsiadlo, 2020, Remote Sensing.

From Copernicus Big Data to Extreme Earth Analytics

Lorenzo Bruzzone, Vladimir Vlassov, Jim Dowling, 2019, EDBT.

A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data

Lorenzo Bruzzone, Claudia Paris, L. Bruzzone, 2019, IEEE Transactions on Geoscience and Remote Sensing.

A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images

Lorenzo Bruzzone, Claudia Paris, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

A sensor-driven domain adaptation method for the classification of remote sensing images

Lorenzo Bruzzone, Claudia Paris, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation

Lorenzo Bruzzone, Mattia Callegari, Claudia Notarnicola, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Novel Sharpening Approach for Superresolving Multiresolution Optical Images

Lorenzo Bruzzone, Claudia Paris, José Bioucas-Dias, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Monitoring of agricultural areas by using Sentinel 2 image time series and deep learning techniques

Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann, 2020, Remote Sensing.

Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks

Lorenzo Bruzzone, Claudia Paris, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images

Lorenzo Bruzzone, Claudia Paris, Diego Fernández-Prieto, 2019, IEEE Transactions on Geoscience and Remote Sensing.

A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data

Lorenzo Bruzzone, Claudia Paris, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Big Data from Space for Precision Agriculture Applications

Francesca Bovolo, Lorenzo Bruzzone, Claudia Paris, 2019 .

A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images

Lorenzo Bruzzone, Claudia Paris, L. Bruzzone, 2018, IEEE Transactions on Geoscience and Remote Sensing.

An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data

Lorenzo Bruzzone, Claudia Paris, Daniele Marinelli, 2019, IEEE Geoscience and Remote Sensing Letters.

GeoFedBench: A Benchmark for Federated GeoSPARQL Query Processors

Lorenzo Bruzzone, Manolis Koubarakis, Giannis Mouchakis, 2020, SEMWEB.

A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

Lorenzo Bruzzone, Claudia Paris, Davide Valduga, 2016, IEEE Transactions on Geoscience and Remote Sensing.

A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas

Lorenzo Bruzzone, Claudia Paris, Daniele Marinelli, 2018, IEEE Transactions on Geoscience and Remote Sensing.

A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images

Lorenzo Bruzzone, Claudia Paris, Diego Fernández-Prieto, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure

Lorenzo Bruzzone, Jan van Aardt, Claudia Paris, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Integration of hydro-climatological model and remote sensing for glacier mass balance estimation

Francesca Bovolo, Lorenzo Bruzzone, Marc Zebisch, 2019, Remote Sensing.

A hierarchical approach to the segmentation of single dominant and dominated trees in forest areas by using high-density LiDAR data

Lorenzo Bruzzone, Claudia Paris, Davide Valduga, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Fusion of high and very high density LiDAR data for 3D forest change detection

Lorenzo Bruzzone, Claudia Paris, Daniele Marinelli, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images

Lorenzo Bruzzone, Claudia Paris, L. Bruzzone, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds

Lorenzo Bruzzone, Claudia Paris, Daniele Marinelli, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products

Lorenzo Bruzzone, Claudia Paris, L. Bruzzone, 2021, IEEE Transactions on Geoscience and Remote Sensing.

An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation

Lorenzo Bruzzone, Claudia Paris, Daniele Marinelli, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

A novel automatic approach to the update of land-cover maps by unsupervised classification of remote sensing images

Lorenzo Bruzzone, Claudia Paris, Diego Fernández-Prieto, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A hierarchical approach to superresolution of multispectral images with different spatial resolutions

Lorenzo Bruzzone, José M. Bioucas-Dias, Claudia Paris, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data

Lorenzo Bruzzone, Jan van Aardt, Claudia Paris, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data

Francesca Bovolo, Lorenzo Bruzzone, Aravind Harikumar, 2021, IEEE Transactions on Geoscience and Remote Sensing.

An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale

Lorenzo Bruzzone, Claudia Paris, Iwona Podsiadlo, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images

Lorenzo Bruzzone, Morris Riedel, Gabriele Cavallaro, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

ExtremeEarth Meets Satellite Data From Space

Lorenzo Bruzzone, Vladimir Vlassov, Jim Dowling, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform

Lorenzo Bruzzone, Claudia Paris, Luca Orlandi, 2022, IEEE Geoscience and Remote Sensing Letters.

A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data

Lorenzo Bruzzone, Claudia Paris, Daniele Marinelli, 2021, IEEE Geoscience and Remote Sensing Letters.

Multi-year crop type mapping using pre-trained deep long-short term memory and Sentinel 2 image time series

Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann, 2021, Remote Sensing.

TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification

Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.