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Automated Rain Detection by Dual-Polarization Sentinel-1 Data

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3155

2021

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Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-14

2024

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AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.443

2024

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Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.851

2022

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Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection

Engineering applications of artificial intelligence, 2024-06, Vol.132, p.107835, Article 107835

2024

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Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies

Remote sensing of environment, 2019-12, Vol.234, p.111457, Article 111457

2019

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Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT

Remote sensing of environment, 2015-01, Vol.156, p.247-263

2015

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Convolutional-Neural-Network-Based Onboard Band Selection for Hyperspectral Data With Coarse Band-to-Band Alignment

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.16467-16475

2024

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AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-08, Vol.8 (8), p.3892-3901

2015

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Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics

Frontiers in earth science (Lausanne), 2023-07, Vol.11

2023

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A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode

Geoscience data journal, 2019-11, Vol.6 (2), p.105-115

2019

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Completing fishing monitoring with spaceborne Vessel Detection System (VDS) and Automatic Identification System (AIS) to assess illegal fishing in Indonesia

Marine pollution bulletin, 2018-06, Vol.131 (Pt B), p.33-39

2018

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Simulation of multispectral and hyperspectral EO products for onboard Machine Learning application

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-08, p.1-16

2024

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Machine Learning for Earth System Observation and Prediction

Bulletin of the American Meteorological Society, 2021-04, Vol.102 (4), p.E710-E716

2021

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Assimilative 2-D Lagrangian Transport Model for the Estimation of Oil Leakage Parameters From SAR Images: Application to the Montara Oil Spill

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-11, Vol.9 (11), p.4962-4969

2016

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Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines

IEEE transactions on geoscience and remote sensing, 2011-06, Vol.49 (6), p.2135-2150

2011

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Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the "brain" close to the "eyes" of satellite missions

IEEE geoscience and remote sensing magazine, 2023-06, Vol.11 (2), p.10-39

2023

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Using multiscale texture information from ALOS PALSAR to map tropical forest

International journal of remote sensing, 2012-12, Vol.33 (24), p.7727-7746

2012

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Sea‐Ice Detection From Near‐Nadir Ku‐Band Echoes From CFOSAT/SWIM Scatterometer

Earth and space science (Hoboken, N.J.), 2022-06, Vol.9 (6), p.n/a

2022

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Multitemporal Analysis of High-Spatial-Resolution Optical Satellite Imagery for Mangrove Species Mapping in Bali, Indonesia

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-08, Vol.9 (8), p.3680-3686

2016

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Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge

IEEE geoscience and remote sensing magazine, 2024-09, Vol.12 (3), p.2-30

2024

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Snowpack Characterization in Mountainous Regions Using C-Band SAR Data and a Meteorological Model

IEEE transactions on geoscience and remote sensing, 2009-02, Vol.47 (2), p.406-418

2009

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Prediction of Categorized Sea Ice Concentration From Sentinel-1 SAR Images Based on a Fully Convolutional Network

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.5831-5841

2021

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Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.12521-12537

2024

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Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3344

2023

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Automated Rain Detection by Dual-Polarization Sentinel-1 Data

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images

Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection

Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies

Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT

Convolutional-Neural-Network-Based Onboard Band Selection for Hyperspectral Data With Coarse Band-to-Band Alignment

AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance

Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics

A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode

Completing fishing monitoring with spaceborne Vessel Detection System (VDS) and Automatic Identification System (AIS) to assess illegal fishing in Indonesia

Simulation of multispectral and hyperspectral EO products for onboard Machine Learning application

Machine Learning for Earth System Observation and Prediction

Assimilative 2-D Lagrangian Transport Model for the Estimation of Oil Leakage Parameters From SAR Images: Application to the Montara Oil Spill

Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines

Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the "brain" close to the "eyes" of satellite missions

Using multiscale texture information from ALOS PALSAR to map tropical forest

Sea‐Ice Detection From Near‐Nadir Ku‐Band Echoes From CFOSAT/SWIM Scatterometer

Multitemporal Analysis of High-Spatial-Resolution Optical Satellite Imagery for Mangrove Species Mapping in Bali, Indonesia

Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge

Snowpack Characterization in Mountainous Regions Using C-Band SAR Data and a Meteorological Model

Prediction of Categorized Sea Ice Concentration From Sentinel-1 SAR Images Based on a Fully Convolutional Network

Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence

Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors

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