نویسندگان
1 دانشگاه شهید چمران اهواز،کارشناسی ارشد
2 دانشگاه شهید چمران اهواز، دکترای برق-الکترونیک
3 دانشگاه شهید چمران اهواز، دکترای پردازش سیگنال
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Synthetic aperture radar (SAR) imaging widely used for remote sensing and military applications; because this kind of imaging is independent from the weather and has high resolution in day and night. In this paper, a new method based on fuzzy logic is proposed for the edge extraction of SAR images. Edge detection is one of the most important techniques used for data analysis and decision-making on the image for various applications. Edge detection is a scope of research in image processing and feature extraction. A serious problem concerning SAR images is that they are intrinsically disturbed by speckle noise. The existence of speckle noise, intensely impedes the interpretation and analysis of SAR images. So, traditional techniques can not provide good edge detection results for SAR images. The method, proposed in this manuscript, by optimization of the fuzzy inference system (FIS) i.e using proper kernels and membership functions, the edge extraction of SAR image is done. The inputs for FIS are image gradients (in both horizontal and vertical directions) and a heuristic self-tuning edge detector parameter which is shown by . This self-tuning parameter is variable for different images and by controlling the shape of Gaussian membership function leads to automatization of proposed algorithm. Finally, the proposed algorithm is compared with other edge detectors to demonstrate the superiority of the proposed method.In this work, in addition to structural similarity criterion, the Mean squared error (MSE) and Peak signal-to-noise ratio (PSNR) are used to numerical Analysis.
کلیدواژهها [English]
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