1,721,030 research outputs found

    A bayesian approach to oil slicks edge detection based on SAR Data

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    This paper proposes a Bayesian edge detector to be fed by polarimetric, possibly multifrequency, synthetic aperture radar (SAR) data. It can be used to detect dark spots on the ocean surface and, hence, as the first stage of a system for identification and monitoring of oil slicks. The proposed detector does not require secondary data (i.e., pixels from a slick-free area) but for a certain a priori knowledge; remarkably, a preliminary performance assessment, based on both synthetic and real SAR recordings, shows that it has a slightly better performance in terms of detection and false alarm control than previously proposed classical (i.e., non-Bayesian) detectors. © 1980-2012 IEEE

    Radar detection and range estimation of a point-like target in non-Gaussian noise

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    In this paper, we present a GLRT-based procedure capable of detecting and localize a target in a heterogeneous environment. To this end, we take into account at the design stage the possible presence of spillover of target energy to adjacent range cells. The performance assessment, conducted assuming white noise modeled in terms of a compound-Gaussian process, shows that the proposed scheme possesses good detection and localization capabilities also in comparison to its natural competitors
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