Attilio Gambardella

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A study on sea oil spill observation by means of polarimetric synthetic aperture radar (SAR) data is accomplished. It is based on the use of a polarimetric constant false alarm rate filter to detect dark patches over SAR images. Then, the target decomposition theorem is exploited to distinguish oil spills and look-alikes. Experiments are conducted on(More)
SAR oil spill classification is a challenging topic, which is tackled by semi-empirical ad hoc approaches supported by very qualified experts. In all cases, the feature space is empirically defined, and two-class classification approaches are used. Although this approach allows achieving acceptable operational results, there is still room for improving both(More)
A study on sea oil slick observation by means of L-band polarimetric synthetic aperture radar (SAR) data is accomplished. It is based on different sea surface scattering mechanism expected with and without surface slicks. Polarimetric measurements are processed by means of a simple and very effective filtering technique which is electromagnetically based on(More)
Scanning radiometer data processing can allow enhancing the limited intrinsic spatial resolution. This is important for data fusion. Mathematically, the problem to be solved is an inverse ill-posed problem. In this paper we compare the classical Backus–Gilbert inversion method with the truncated singular value decomposition (TSVD) one. A one-dimensional(More)
In this study, classical features extracted from Synthetic Aperture Radar (SAR) Images and used in oil spill classification procedures have been examined/evaluated and ranked in function of their effectiveness. The best features have been used to perform the classification of dark patches by means of two-class and one-class approaches. A number of one-class(More)
In this study, the capability of the phase difference standard deviation value (σφc) to distinguish among different dark features over marine polarimetric SAR images is investigated. The σφc, evaluated between the co-polarized terms of the scattering matrix, needs only HH and VV data and can be applied also on dualpolarized SAR sensors such as the ASAR(More)
Partially or completely paralyzed patients can benefit from Brain Computer Interface (BCI) in which a continuous recording of electroencephalogram (EEG) is required, operating some processing and classification to control a computer or other devices. Patients are so allowed to control external devices or to communicate simple messages through the computer,(More)