In this paper a new procedure to discriminate different surface films by means of SAR polarimetric data is proposed. SAR data were acquired on October 11, 1994 during SIR-C/X-SAR mission, named SRL-2. The dark features characterizing different surface films are analysed using eigenvalues and eigenvectors of the coherence matrix. Results of this study give rise to the conclusions that SAR polarimetric data are a key tool to discriminate oil spills from biogenic/anthropogenic surface films to reduce the number of false alarms
SAR instruments with polarimetric capabilities, high resolution and short revisit time can provide p...
This thesis focuses on the use of multi-polarization synthetic aperture radar (SAR) for characteriza...
During the Norwegian oil-on-water exercise in June 2011, a unique and comprehensive data set was acq...
Conventionally, single-polarization synthetic aperture radar (SAR) sensors have been used in remote ...
Synthetic aperture radar (SAR) oil spill observation is not at all an easy task since the presence o...
Single-polarization (VV or HH) C-band synthetic aperture radar (SAR) sensors have conventionally bee...
Synthetic Aperture Radar (SAR) data has been used for decades to detect oil slicks and monitoring se...
As a major marine pollution source, oil spills largely threaten the sustainability of the coastal en...
In this article, a review of polarimetric synthetic aperture radar (SAR) methods for sea oil slick o...
In this paper, we present a comparison between several algorithms for oil spill classifications usin...
In the context of sea oil slick observation, satellite Synthetic Aperture Radar (SAR) is the most ef...
A study on the use of SAR fully polarimetric data for oil spill observation is accomplished. The stu...
In this thesis work a new approach to observe sea oil spills by means of remotely sensed SAR data an...
Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in the...
The Synthetic Aperture Radar (SAR) is unanimously recognized as the most important remote sensing to...
SAR instruments with polarimetric capabilities, high resolution and short revisit time can provide p...
This thesis focuses on the use of multi-polarization synthetic aperture radar (SAR) for characteriza...
During the Norwegian oil-on-water exercise in June 2011, a unique and comprehensive data set was acq...
Conventionally, single-polarization synthetic aperture radar (SAR) sensors have been used in remote ...
Synthetic aperture radar (SAR) oil spill observation is not at all an easy task since the presence o...
Single-polarization (VV or HH) C-band synthetic aperture radar (SAR) sensors have conventionally bee...
Synthetic Aperture Radar (SAR) data has been used for decades to detect oil slicks and monitoring se...
As a major marine pollution source, oil spills largely threaten the sustainability of the coastal en...
In this article, a review of polarimetric synthetic aperture radar (SAR) methods for sea oil slick o...
In this paper, we present a comparison between several algorithms for oil spill classifications usin...
In the context of sea oil slick observation, satellite Synthetic Aperture Radar (SAR) is the most ef...
A study on the use of SAR fully polarimetric data for oil spill observation is accomplished. The stu...
In this thesis work a new approach to observe sea oil spills by means of remotely sensed SAR data an...
Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in the...
The Synthetic Aperture Radar (SAR) is unanimously recognized as the most important remote sensing to...
SAR instruments with polarimetric capabilities, high resolution and short revisit time can provide p...
This thesis focuses on the use of multi-polarization synthetic aperture radar (SAR) for characteriza...
During the Norwegian oil-on-water exercise in June 2011, a unique and comprehensive data set was acq...