Superpixel-Level CFAR Detectors for Ship Detection in SAR Imagery
نویسندگان
چکیده
منابع مشابه
Ship Detection in SAR Imagery
Abstract---As a part of Maritime Domain Awareness, there is a requirement to detect ships in satellite-borne Synthetic Aperture Radar (SAR) images, which provide wide area ocean surveillance. When ship detection is implemented using a Constant False Alarm Rate (CFAR), statistical theory can be employed to ensure that proper parameters are used to find the thresholds for detection; inaccuracy ...
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Among ship detection methods for SAR image, constant false alarm rate (CFAR) is the most important one. However, several factors, such as detector parameter and distribution of ocean clutter, affect the performance of CFAR detection. This paper proposes a novel hierarchical complete and operational ship detection approach based on detector parameter estimation and clutter pixel replacement, whi...
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Synthetic aperture radar (SAR) imagery has proven to be a promising data source for the surveillance of maritime activity, and its application for automatic ship detection has been the focus of many research studies. Apart from the well-known CFAR detector, there has emerged a novel method for automatic ship detection, based on the wavelet transform. Since the underlying principles for both met...
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This paper proposes an automatic ship detection method based on gray-level gathering characteristics of synthetic aperture radar (SAR) imagery. The method does not require any prior knowledge about ships and background observation. It uses a novel local gray-level gathering degree (LGGD) to characterize the spatial intensity distribution of SAR image, and then an adaptive-like LGGD thresholding...
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ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Letters
سال: 2018
ISSN: 1545-598X,1558-0571
DOI: 10.1109/lgrs.2018.2838263