کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8146033 1524097 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel ship CFAR detection algorithm based on adaptive parameter enhancement and wake-aided detection in SAR images
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
پیش نمایش صفحه اول مقاله
A novel ship CFAR detection algorithm based on adaptive parameter enhancement and wake-aided detection in SAR images
چکیده انگلیسی
Synthetic aperture radar (SAR) is an indispensable and useful method for marine monitoring. With the increase of SAR sensors, high resolution images can be acquired and contain more target structure information, such as more spatial details etc. This paper presents a novel adaptive parameter transform (APT) domain constant false alarm rate (CFAR) to highlight targets. The whole method is based on the APT domain value. Firstly, the image is mapped to the new transform domain by the algorithm. Secondly, the false candidate target pixels are screened out by the CFAR detector to highlight the target ships. Thirdly, the ship pixels are replaced by the homogeneous sea pixels. And then, the enhanced image is processed by Niblack algorithm to obtain the wake binary image. Finally, normalized Hough transform (NHT) is used to detect wakes in the binary image, as a verification of the presence of the ships. Experiments on real SAR images validate that the proposed transform does enhance the target structure and improve the contrast of the image. The algorithm has a good performance in the ship and ship wake detection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 89, March 2018, Pages 263-270
نویسندگان
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