A5006507810- Oil Spill Detection and Mitigation
- Ocean Waves and Remote Sensing
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Marine and coastal ecosystems
- Methane Hydrates and Related Phenomena
- Advanced SAR Imaging Techniques
- Oceanographic and Atmospheric Processes
- Underwater Acoustics Research
- Maritime Navigation and Safety
- Arctic and Antarctic ice dynamics
- Atmospheric and Environmental Gas Dynamics
- Soil Moisture and Remote Sensing
- Toxic Organic Pollutants Impact
- Remote-Sensing Image Classification
- Ship Hydrodynamics and Maneuverability
- Maritime and Coastal Archaeology
- Radar Systems and Signal Processing
- Wind and Air Flow Studies
- Underwater Vehicles and Communication Systems
- Spacecraft Design and Technology
- Wind Energy Research and Development
- Satellite Image Processing and Photogrammetry
- Marine and environmental studies
- Aerodynamics and Fluid Dynamics Research
- Maritime Ports and Logistics
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
2023
University of Bremen
2018-2023
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2011-2020
Rapid changes of the biosphere observed in recent years are caused by both small and large scale drivers, like shifts temperature, transformations land-use, or energy budget systems. While latter processes easily quantifiable, documentation loss biodiversity community structure is more difficult. Changes organismal abundance diversity barely documented. Censuses species usually fragmentary inferred often spatially, temporally ecologically unsatisfactory simple lists for individual study...
Synthetic aperture radar (SAR) is an important instrument for oceanographic observations, providing detailed information of oceans' surface and artificial floating structures. Due to advances in SAR technology deployment new satellites, increasing amount data available, the development efficient classification systems based on deep learning possible. A neural network has improved state art tasks optical images, but its use problems been less exploited. In this paper, a full workflow maritime...
A study exploiting dual-polarimetric X-band synthetic aperture radar (SAR) data to observe oil at sea is undertaken for the first time. The polarimetric model exploits interchannel correlation between like polarized channels. Accordingly, two parameters related correlation, namely, amplitude coherence and copolarized phase difference (CPD) standard deviation, are accounted for, their performances, with respect slick observation, carefully discussed. Single-look Slant range Complex...
Synthetic aperture radar (SAR) ship detection is an important application in the field of maritime security. Azimuth ambiguities caused by aliasing Doppler phase history each point are often visible SAR images particularly ocean areas low wind speed condition, e.g., coastal areas, harbors, etc. The main sources azimuth man-made metallic structures over ocean, ships, oil platforms etc., and land near coast, big tanks, bridges' pylons that have a high backscatter responses. Although...
The Sentinel-1A is the first of two satellites that composes Sentinel-1 radar mission. Both operate a C-band synthetic aperture (SAR) system to give continuity European SAR program. flexible sensor able fulfil users/applications requirements in terms resolution and coverage thanks different operational modes polarizations. With in-orbit availability very-high-resolution X-band sensors, have been designed achieve wide at medium high resolution. interferometric swath (IWS) mode implemented...
A physical dual-polarimetric model to observe man-made metallic targets at sea in coherent X-band synthetic aperture radar (SAR) data is proposed. The exploits the intrinsic different symmetry properties of and surface tested over actual StripMap TerraSAR-X HH-HV VV-VH SAR colocated ground truth measurements. Then, an operational physically based filter very attractive terms both detection performances processing time. typical scene processed seconds by a conventional PC processor.
A large time series of 42 dual–polarimetric co–polarized TerraSAR-X (TSX) StripMap Synthetic Aperture Radar (SAR) measurements are exploited to monitor a well-known oil seep area, i.e., the Taylor Energy site in Gulf Mexico. comprehensive scattering analysis is undertaken assess impact SAR imaging parameters (polarization, angle incidence – AOI, noise floor) and environmental conditions (wind speed WS, properties) on single-polarization SAR–based sea observation. The main goal this study...
Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in marine environment, as they independent sun light and weather-induced phenomena. Exploitation polarimetric features operational spill is relatively new until recently those properties have not been extensively exploited. This paper describes development a processing chain using coherent dual-polarimetric (copolarized channels, i.e., HH-VV) TerraSAR-X images. The proposed methodology focuses on...
Synthetic Aperture Radar (SAR) provides detailed information of Ocean's surface and man-made floating structures. Advances in SAR technology deployment new satellites have contributed to an increasing number remote sensing data available. Handle this large amount with human operators is infeasible. Therefore, the use automated tools process images, identify regions interest, select relevant are needed. The neural networks solve image classification problems well known. A typical architecture...
The monitoring of ships is paramount importance for ocean and coastal area surveillance. synthetic aperture radar shown to be a key sensor provide effective continuous observation due its unique imaging capabilities. When advanced systems are considered, the full scattering information available that was demonstrated beneficial in developing improved ship detection classification algorithms. Nonetheless, capability polarimetric observe marine vessels significantly affected by several...
This article describes how a detectability model can be trained in the form of binary classifier from data set synthetic aperture radar (SAR) images ship wakes, augmented by automatic identification system data. While models for signatures exist, wake are only available simulated In order to improve existing detection algorithms on SAR imagery, there is need building data-driven which may provide useful a-priori information. A L2-regularized logistic regression each investigated subset. The...
The physics of the imaging mechanism underlying emergence ship wakes in Synthetic Aperture Radar (SAR) images has been studied past by many researchers providing a well-understood theory. Therefore, publications describe how well are detectable on SAR under influence different environmental conditions like sea state or local wind, properties speed heading, and image acquisition parameters incidence angle satellite heading. increased capabilities current missions facilitate collection large...
Different metocean conditions have an impact on the detectability of ship signatures Synthetic Aperture Radar (SAR) images. During EMSec Project algorithms for retrieval wind and sea state fields from TerraSAR-X data been developed in conjunction with a near real-time-capable constant false alarm rate detection processor. This paper presents new model connecting these three information extraction systems into by setting probability dependency to four parameters: Wind speed, significant wave...
Satellite-based synthetic aperture radar (SAR) has been proven to be an effective tool for ship monitoring. Offshore platforms monitoring is a key topic both safety and security of the maritime domain. However, scientific literature oriented observation offshore using SAR imagery very limited. This study mostly focused on analysis understanding multipolarization behavior platforms' backscattering dual-polarization X-band imagery. motivated by fact that under low incidence angle moderate wind...
In this paper, a time series of 33 TerraSAR-X copolarized synthetic aperture radar (SAR) imagery collected in Stripmap mode over the Gulf Mexico wide range incidence angles and sea-state condition is exploited, together with theoretical framework based on X-Bragg scattering model, to analyze effects noise, angle incidence, (AOI) wind speed standard deviation phase difference (σ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Φc</sub> ) evaluated...
This study aimed at analyzing the effect of Synthetic Aperture Radar (SAR) imaging parameters and environmental conditions on standard deviation co-polarized phase difference ( σ φ C ) evaluated over sea surface. The latter was shown to be an important polarimetric parameter widely used for surface target monitoring purposes. A theoretical model, based tilted-Bragg scattering, is proposed predict behavior against incidence angle different roughness conditions. Then, a comprehensive...
In this study, the polarimetric scattering of a ship and surrounding sea is analysed at multiple incidence angles using fully L-band Synthetic Aperture Radar (SAR) data. The behaviour polarised unpolarised backscatter degree polarisation, signature pedestal height. Experimental results show that, although backscattered power increases monotonically versus angle for both target sea, two scenarios call distinctive behaviours. component in signal demonstrated to be main source variability...
Observed by high-Resolution Satellite Radar images terraSaR-X ScanSaR wide image acquired over the german Bight on march 29, 2013, at 17:11 utc. it covers an area of 400 km × 250 with 38 m resolution.
In this study single look complex (SSC) TerraSAR-X dual-polarized data are firstly exploited for sea oil slick observation purposes. An electromagnetic model which, based on the Co-polarised Phase Difference between HH and VV channels (CPD), allows describing X-band surface scattering with without slicks is proposed. Following rationale, polarimetric approach developed applied to Synthetic Aperture Radar (SAR) in which both certified look-alikes present. Experimental results demonstrate,...
This study investigated the spatial and temporal variations of two groups oil slicks with similar features that were observed in North Sea by spaceborne synthetic aperture radar (SAR) TerraSAR-X (TSX) TanDEM-X (TDX) within 13 h each other, which operating satellite constellation. Based on SAR observations General NOAA Operational Modeling Environment (GNOME) simulations trajectories, it is unlikely spills TSX August 21, 2012 entirely drifted from TDX 20. Rather, after likely composed parts....
A growing interest in global maritime surveillance has motivated the development of new methods and sensors to overcome limitations coastal-based systems coverage. Among available state art tools, Synthetic Aperture Radar (SAR) stands out as a powerful sensor for oceanographic observation surveillance, due its capability wide swath coverage ability operate all weather conditions. This paper examines minimum ship size detectable by Constant False Alarm Rate (CFAR) algorithm over different...
Sentinel-1A (S1-A) is the first of a pair satellites operating C-band Synthetic Aperture Radar (SAR) developed to give continuity European SAR programme. After 6 months commissioning phase from its lunch on April 3rd 2014, S1-A started systematically deliver data Copernicus Ocean, Land and Emergency services. Interferometric Wide Swath (IWS) mode in dual-polarization VV+VH standard acquisition used for observation marine environment. The objectives this study are comparison synergetic use...