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

IEEE transactions on geoscience and remote sensing, 2017-07, Vol.55 (7), p.3679-3693

2017

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IEEE_Xplore

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

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.4699-4708

2021

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A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.9146-9159

2022

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

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.10134-10146

2021

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Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2023, Vol.16, p.6758-6775

2023

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

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6177-6194

2020

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

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.1930-1948

2021

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2015-01, Vol.53 (1), p.467-480

2015

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2019-01, Vol.57 (1), p.76-92

2019

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IEEE_Xplore

ExtremeEarth Meets Satellite Data From Space

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.9038-9063

2021

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

IEEE transactions on geoscience and remote sensing, 2018-03, Vol.56 (3), p.1308-1324

2018

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.4259-4277

2019

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2016-07, Vol.54 (7), p.4190-4203

2016

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2018-06, Vol.56 (6), p.3030-3046

2018

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IEEE_Xplore

A Novel Sharpening Approach for Superresolving Multiresolution Optical Images

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1545-1560

2019

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IEEE_Xplore

An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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IEEE_Xplore

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

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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IEEE_Xplore

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

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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IEEE_Xplore

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

IEEE transactions on geoscience and remote sensing, 2021-05, Vol.59 (5), p.4444-4453

2021

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IEEE_Xplore

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

IEEE geoscience and remote sensing letters, 2019-11, Vol.16 (11), p.1771-1775

2019

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IEEE_Xplore

A Scalable High-Performance Unsupervised System for Producing Large-Scale High Resolution (HR) Land Cover Maps: The Italian Country Case Study

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, p.1-14

2022

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Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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IEEE_Xplore

AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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Epigenetic footprint enables molecular risk stratification of hepatoblastoma with clinical implications

Journal of hepatology, 2020-08, Vol.73 (2), p.328-341

2020

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

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

A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study

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

Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data

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

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

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

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

ExtremeEarth Meets Satellite Data From Space

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

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

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

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

A Novel Sharpening Approach for Superresolving Multiresolution Optical Images

An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest

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

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

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

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

A Scalable High-Performance Unsupervised System for Producing Large-Scale High Resolution (HR) Land Cover Maps: The Italian Country Case Study

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series

AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms

Dose-dense cisplatin-based chemotherapy and surgery for children with high-risk hepatoblastoma (SIOPEL-4): a prospective, single-arm, feasibility study

Epigenetic footprint enables molecular risk stratification of hepatoblastoma with clinical implications

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