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Papers by Guillaume Hajduch

Research paper thumbnail of Sentinel-1 Instruments Status and Product Performance Update for 2023

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Research paper thumbnail of Multi-task deep learning from Sentinel-1 SAR: ship detection, classification and length estimation

HAL (Le Centre pour la Communication Scientifique Directe), Feb 19, 2019

The detection of inshore and offshore ships is an important issue in both military and civilian f... more The detection of inshore and offshore ships is an important issue in both military and civilian fields. It helps monitoring fisheries, managing maritime traffics, ensuring safety of coast and sea, etc. In operational contexts, ship detection

Research paper thumbnail of Sentinel-1A/B SAR calibration and performance status

VDE-Verlag eBooks, 2021

Sentinel-1 (S-1) is the European flagship SAR mission initiated by European Space Agency and the ... more Sentinel-1 (S-1) is the European flagship SAR mission initiated by European Space Agency and the European Commission. It is a constellation of two C-band twins satellite providing backscatter globally. The calibration and overall SAR performance of the mission is continuously assessed by the S-1 Mission Performance Center being a joint venture of European experts in their domain under ESA‘s supervision. This paper addresses the Copernicus Sentinel-1A/B mission’s SAR calibration and overall performance indicators after 8 years cumulated operation having in sight S-1A approaching its expected lifetime of 7 years. Sentinel-1 uses predefined observation scenario to provide a high revisit frequency and systematic global SAR image coverage. This is mainly based upon the operational use of the TOPS (Terrain Observation with Progressive Scans in azimuth) SAR imaging mode allowing to achieve a wide swath with a relatively high resolution. In particular, we present results of the SAR system performance analysis focusing on the instrument stability, the radiometric, geolocation accuracy, the Noise Equivalent Sigma Zero (NESZ) and all interferometric performance indicators. In addition, we discuss the Sentinel-1A/B SAR cross-calibration and the evolution of the system in the near future

Research paper thumbnail of High-Resolution Snapshot SAR/ISAR Imaging of Ship Targets at Sea

Proceedings of SPIE, Mar 7, 2003

ABSTRACT

Research paper thumbnail of Radiometric Re-Compensation of Sentinel-1 SAR Data Products for Artificial Biases due to Antenna Pattern Changes

Remote Sensing, Feb 28, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of VIGISAT Ground Receiving Station and EMSA CleanSeaNet Services

Research paper thumbnail of Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams

HAL (Le Centre pour la Communication Scientifique Directe), Jun 5, 2018

In a world of global trading, maritime safety, security and efficiency are crucial issues. We pro... more In a world of global trading, maritime safety, security and efficiency are crucial issues. We propose a multi-task deep learning framework for vessel monitoring using Automatic Identification System (AIS) data streams. We combine recurrent neural networks with latent variable modeling and an embedding of AIS messages to a new representation space to jointly address key issues to be dealt with when considering AIS data streams: massive amount of streaming data, noisy data and irregular timesampling. We demonstrate the relevance of the proposed deep learning framework on real AIS datasets for a three-task setting, namely trajectory reconstruction, anomaly detection and vessel type identification.

Research paper thumbnail of Detection of Abnormal Vessel Behaviors from AIS data using GeoTrackNet: from the Laboratory to the Ocean

HAL (Le Centre pour la Communication Scientifique Directe), Mar 28, 2020

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Research paper thumbnail of Synergies between SAR and AIS data for the surveillance of the maritime traffic

HAL (Le Centre pour la Communication Scientifique Directe), 2018

Research paper thumbnail of Using co-cross polarization coherence from TOPS SLC S-1 data for wind field retrieval

Research paper thumbnail of Ship Detection: From Processing to Instrument Characterisation

SEASAR 2008 - Advances in SAR Oceanography from ENVISAT and ERS missions, 2008

Research paper thumbnail of Monitoring a new type of pollution in the Atlantic Ocean: the sargassum algae

OCEANS 2019 - Marseille, 2019

Unprecedented massive landings of Sargassum are regularly registered since 2011 along the shoreli... more Unprecedented massive landings of Sargassum are regularly registered since 2011 along the shorelines of a huge area encompassing French Guyana, the Antilles and Caribbean Sea. The phenomenon affects widely the West Indies (Guadeloupe, Martinique, Barbados …), Dominican Republic, Mexico, etc. and many sightings have been reported. Algae arrive from the open sea in the form of large rafts (tens of km) after drifting over long distances from the Central Atlantic NERR and accumulating in consolidation areas in the Brazil retroflexion current and probably the Gulf of Guinea. Compared to previous years, 2018 is far the worst year in terms of Sargassum landings on Caribbean islands shorelines. Washing-ashore has substantial negative impacts on local populations, coastal marine ecosystems and the economy sector, especially tourism and fisheries that are severely affected.

Research paper thumbnail of VIGISAT Ground Receiving Station and EMSA CleanSeaNet Services

Remote Detection and Maritime Pollution

Research paper thumbnail of Rétrodiffusion radar par une surface de mer polluée : Modélisation 3D et comparaison avec des mesures

HAL (Le Centre pour la Communication Scientifique Directe), Oct 19, 2022

Research paper thumbnail of S-1A & S-1B Annual Performance Report for 2020

Research paper thumbnail of Sentinel-1 Level-0 Data Decoding Package

Research paper thumbnail of Asymptotic Modeling of Three-Dimensional Radar Backscattering from Oil Slicks on Sea Surfaces

Remote Sensing, 2022

This paper presents new results of a simulation of radar backscatter from oil slick areas on a re... more This paper presents new results of a simulation of radar backscatter from oil slick areas on a real three-dimensional sea surface, based on a physical hydrodynamic model of surface wave damping in the presence of oil films, the local equilibrium model (MLB). To solve this problem, the modelling was carried out by using the first-order small-slope approximation (SSA1) model. It presents the advantage of having a very good compromise between rapidity and accuracy of the calculation. The choice of the model is justified by solving the two-dimensional problem with several asymptotic methods and further comparing the results with a rigorous numerical method, based on the Method of Moments (MoM). Two approaches called “thin-layer” (TL) and “classical” were used to deal with the double layer (air/oil/sea) problem. The TL approach assumes that this double-layer problem can be seen locally as a Fabry–Pérot interferometer, which implies that the Kirchhoff-tangent plane approximation (KA) is v...

Research paper thumbnail of Sentinel-1 Long Duration Mutual Interference (version 1.0)

Research paper thumbnail of The Sentinel-1 Mission Performance Center Activities and Support for the End Users Community

Research paper thumbnail of Ushant AIS dataset

This dataset corresponds to 6 months of AIS data of vessels steaming in the area of the Ushant tr... more This dataset corresponds to 6 months of AIS data of vessels steaming in the area of the Ushant traffic separation scheme (in Brittany, West of France). This is an area with one of the highest traffic density in the world, with a clear separation scheme with two navigation lanes. Different kinds of vessels are present in the area, from cargos and tankers with high velocity and straight routes to sailing boats or fishing vessels with low speed and different sailing directions. As such, the area is highly monitored to avoid collision or grounding, and a better analysis and understanding of the different ship behaviors is of prime importance.<br>The whole trajectory data set consists in 18,603 trajectories, gathering overall more than 7 millions GPS observations. Only trajectories having more than 30 points were kept, time lag between two consecutive observations ranges between 5 seconds and 15 hours, with 95% of time lags below 3 minutes.<br>Authors would like to thank CLS ...

Research paper thumbnail of Sentinel-1 Instruments Status and Product Performance Update for 2023

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Research paper thumbnail of Multi-task deep learning from Sentinel-1 SAR: ship detection, classification and length estimation

HAL (Le Centre pour la Communication Scientifique Directe), Feb 19, 2019

The detection of inshore and offshore ships is an important issue in both military and civilian f... more The detection of inshore and offshore ships is an important issue in both military and civilian fields. It helps monitoring fisheries, managing maritime traffics, ensuring safety of coast and sea, etc. In operational contexts, ship detection

Research paper thumbnail of Sentinel-1A/B SAR calibration and performance status

VDE-Verlag eBooks, 2021

Sentinel-1 (S-1) is the European flagship SAR mission initiated by European Space Agency and the ... more Sentinel-1 (S-1) is the European flagship SAR mission initiated by European Space Agency and the European Commission. It is a constellation of two C-band twins satellite providing backscatter globally. The calibration and overall SAR performance of the mission is continuously assessed by the S-1 Mission Performance Center being a joint venture of European experts in their domain under ESA‘s supervision. This paper addresses the Copernicus Sentinel-1A/B mission’s SAR calibration and overall performance indicators after 8 years cumulated operation having in sight S-1A approaching its expected lifetime of 7 years. Sentinel-1 uses predefined observation scenario to provide a high revisit frequency and systematic global SAR image coverage. This is mainly based upon the operational use of the TOPS (Terrain Observation with Progressive Scans in azimuth) SAR imaging mode allowing to achieve a wide swath with a relatively high resolution. In particular, we present results of the SAR system performance analysis focusing on the instrument stability, the radiometric, geolocation accuracy, the Noise Equivalent Sigma Zero (NESZ) and all interferometric performance indicators. In addition, we discuss the Sentinel-1A/B SAR cross-calibration and the evolution of the system in the near future

Research paper thumbnail of High-Resolution Snapshot SAR/ISAR Imaging of Ship Targets at Sea

Proceedings of SPIE, Mar 7, 2003

ABSTRACT

Research paper thumbnail of Radiometric Re-Compensation of Sentinel-1 SAR Data Products for Artificial Biases due to Antenna Pattern Changes

Remote Sensing, Feb 28, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of VIGISAT Ground Receiving Station and EMSA CleanSeaNet Services

Research paper thumbnail of Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams

HAL (Le Centre pour la Communication Scientifique Directe), Jun 5, 2018

In a world of global trading, maritime safety, security and efficiency are crucial issues. We pro... more In a world of global trading, maritime safety, security and efficiency are crucial issues. We propose a multi-task deep learning framework for vessel monitoring using Automatic Identification System (AIS) data streams. We combine recurrent neural networks with latent variable modeling and an embedding of AIS messages to a new representation space to jointly address key issues to be dealt with when considering AIS data streams: massive amount of streaming data, noisy data and irregular timesampling. We demonstrate the relevance of the proposed deep learning framework on real AIS datasets for a three-task setting, namely trajectory reconstruction, anomaly detection and vessel type identification.

Research paper thumbnail of Detection of Abnormal Vessel Behaviors from AIS data using GeoTrackNet: from the Laboratory to the Ocean

HAL (Le Centre pour la Communication Scientifique Directe), Mar 28, 2020

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Research paper thumbnail of Synergies between SAR and AIS data for the surveillance of the maritime traffic

HAL (Le Centre pour la Communication Scientifique Directe), 2018

Research paper thumbnail of Using co-cross polarization coherence from TOPS SLC S-1 data for wind field retrieval

Research paper thumbnail of Ship Detection: From Processing to Instrument Characterisation

SEASAR 2008 - Advances in SAR Oceanography from ENVISAT and ERS missions, 2008

Research paper thumbnail of Monitoring a new type of pollution in the Atlantic Ocean: the sargassum algae

OCEANS 2019 - Marseille, 2019

Unprecedented massive landings of Sargassum are regularly registered since 2011 along the shoreli... more Unprecedented massive landings of Sargassum are regularly registered since 2011 along the shorelines of a huge area encompassing French Guyana, the Antilles and Caribbean Sea. The phenomenon affects widely the West Indies (Guadeloupe, Martinique, Barbados …), Dominican Republic, Mexico, etc. and many sightings have been reported. Algae arrive from the open sea in the form of large rafts (tens of km) after drifting over long distances from the Central Atlantic NERR and accumulating in consolidation areas in the Brazil retroflexion current and probably the Gulf of Guinea. Compared to previous years, 2018 is far the worst year in terms of Sargassum landings on Caribbean islands shorelines. Washing-ashore has substantial negative impacts on local populations, coastal marine ecosystems and the economy sector, especially tourism and fisheries that are severely affected.

Research paper thumbnail of VIGISAT Ground Receiving Station and EMSA CleanSeaNet Services

Remote Detection and Maritime Pollution

Research paper thumbnail of Rétrodiffusion radar par une surface de mer polluée : Modélisation 3D et comparaison avec des mesures

HAL (Le Centre pour la Communication Scientifique Directe), Oct 19, 2022

Research paper thumbnail of S-1A & S-1B Annual Performance Report for 2020

Research paper thumbnail of Sentinel-1 Level-0 Data Decoding Package

Research paper thumbnail of Asymptotic Modeling of Three-Dimensional Radar Backscattering from Oil Slicks on Sea Surfaces

Remote Sensing, 2022

This paper presents new results of a simulation of radar backscatter from oil slick areas on a re... more This paper presents new results of a simulation of radar backscatter from oil slick areas on a real three-dimensional sea surface, based on a physical hydrodynamic model of surface wave damping in the presence of oil films, the local equilibrium model (MLB). To solve this problem, the modelling was carried out by using the first-order small-slope approximation (SSA1) model. It presents the advantage of having a very good compromise between rapidity and accuracy of the calculation. The choice of the model is justified by solving the two-dimensional problem with several asymptotic methods and further comparing the results with a rigorous numerical method, based on the Method of Moments (MoM). Two approaches called “thin-layer” (TL) and “classical” were used to deal with the double layer (air/oil/sea) problem. The TL approach assumes that this double-layer problem can be seen locally as a Fabry–Pérot interferometer, which implies that the Kirchhoff-tangent plane approximation (KA) is v...

Research paper thumbnail of Sentinel-1 Long Duration Mutual Interference (version 1.0)

Research paper thumbnail of The Sentinel-1 Mission Performance Center Activities and Support for the End Users Community

Research paper thumbnail of Ushant AIS dataset

This dataset corresponds to 6 months of AIS data of vessels steaming in the area of the Ushant tr... more This dataset corresponds to 6 months of AIS data of vessels steaming in the area of the Ushant traffic separation scheme (in Brittany, West of France). This is an area with one of the highest traffic density in the world, with a clear separation scheme with two navigation lanes. Different kinds of vessels are present in the area, from cargos and tankers with high velocity and straight routes to sailing boats or fishing vessels with low speed and different sailing directions. As such, the area is highly monitored to avoid collision or grounding, and a better analysis and understanding of the different ship behaviors is of prime importance.<br>The whole trajectory data set consists in 18,603 trajectories, gathering overall more than 7 millions GPS observations. Only trajectories having more than 30 points were kept, time lag between two consecutive observations ranges between 5 seconds and 15 hours, with 95% of time lags below 3 minutes.<br>Authors would like to thank CLS ...