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We show that indications of spatial dispersion effects on mineral oil slicks are observed by space-borne multipolarization synthetic aperture radar. This is readily perceived by eye when correlating multipolarization synthetic aperture radar observables with the ship track of the dispersion vessel. We investigate real full-polarimetric (linear transmit/linear receive) as well as simulated and real...
Extensive work has been carried out on detecting ships using space-borne Synthetic Aperture Radar (SAR) systems. However, the identification of small vessels is still challenging especially when the sea conditions are rough. In this work, a new detector is proposed based on dual-polarized incoherent SAR images. Small ships have a stronger cross polarization accompanied by a higher cross-over co-polarization...
Ship detection is a key topic for the surveillance of coastal areas and synthetic aperture radar (SAR) presents an advantageous technology for this application, because the observations cover relatively large areas and are independent of atmospheric cloud conditions and solar illumination. Recently a new generation of satellites has become available with enhanced SAR capabilities and our algorithm...
In this study, two innovative physically-based approaches have been developed to detect man-made metallic objects and oil slicks in polarimetric SAR data. They are based on the different sea surface scattering mechanisms expected with and without oil slicks and metallic objects. Experiments, accomplished over Single Look Complex (SLC) Level 1.1 quad-pol L-band ALOS PALSAR SAR data, demonstrate the...
Target detection of marine feature is a major topic for the security and monitoring of coastlines. Synthetic Aperture Radar (SAR) has been shown to be particularly useful for this application because of its all-weather and night capability. In this paper a new ship and iceberg detection methodology is described. The algorithm proposed is based on a perturbation analysis in the target space recently...
Entropy (H)/ Alpha (alpha)/ Anisotropy (A) polarimetric features are largely employed in polarimetric SAR for supervised and/or unsupervised land classification. Can these features be exploited for classifying man-made targets? This paper answers this question by proposing: 1) A technique for extracting H/alpha/A parameters from High Resolution Range Profiles (HRRP) of the target 2) A MAP classifier...
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