Synthetic-aperture Radar Image Processing

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} </script> <script src="//translate.google.com/translate_a/element.js?cb=googleTranslateElementInit"></script> </ul> </div> </nav> <div class="container-fluid bg-grey"> <div class="container pt-3 pb-4"> <div class="white-container mt-4"> <h2 class="bg-hdr">Synthetic-aperture Radar Image Processing</h2> <p style="padding-top: 8px;"><span lang="EN-US">Edge detection is a critical component of SAR image understanding. When SAR images include serious speckle noises, the core problem of their edge detection is how to keep the constant false alarm rate and how to achieve the unbiased localization ability for detecting the edges. In this paper, a novel edge detection method is proposed to solve this core problem. The capital idea of the proposed method is to combine the difference operation with the ratio operation. The proposed method consists of a 2D separable edge detection filter to compute two local weighted averages and an estimation algorithm to estimate the parameter related to the scattering coefficient. And then, the proposed method performs a difference operation and follows a ratio operation on the computed averages and the estimated scattering parameter, respectively. Theoretical analysis shows that the proposed detector not only has unbiased localization ability for edges, but also keeps constant false alarm rate under the influence of speckle. Theoretical analysis also shows that simply replacing the estimated scattering parameter with computed local weighted average does not affect the properties of the proposed detector, but largely reduces the computational complexity. Both quantitative and qualitative evaluations show that the proposed method can provide unbiased edge position and obtain the closed skeleton edges. The detection performance is insensitive to the changes of edge contrast, transition zone width and noise intensity. Benefitting from the high localization precision and good anti-noise ability, the performance of our method is further improved in the true positive detection rate.</span></p> <div class="border-top py-2"><b>Posted by: </b>Qianru Wei, assistant professor, Northwestern Polytechnical University, China (<span class="f-sm">16-Mar-2017</span>)</div> </div> </div> </div> <div class="container_fluid"> <div class="bg-footer"> <div class="container py-4"> <div class="d-flex justify-content-center pt-4"> <div class="text-center f-sm"> <a href="/" title="Home page" class="text-grey me-2">Home</a><span class="me-1">|</span> <a href="/international-conferences/" title="Conferences" class="text-grey me-1">Conferences</a><span class="me-1">|</span> <a href="/international-exhibitions/" title="International Exhibition" class="text-grey me-2">Exhibitions</a><span class="me-1">|</span> <a href="/event-organizers/" title="Event Organizers" class="text-grey me-2">Organizers</a><span class="me-1">|</span> 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Synthetic-aperture Radar Image Processing