شماره ركورد كنفرانس :
4517
عنوان مقاله :
A Novel Method for Synthetic Aperture Radar Image Modeling and Segmentation Based on Skewed AlphaStable Distribution
عنوان به زبان ديگر :
A Novel Method for Synthetic Aperture Radar Image Modeling and Segmentation Based on Skewed AlphaStable Distribution
Author/Authors :
Katayoon Sarafrazir Department of Electrical Engineering Shiraz University Shiraz , Mehran Yazdi Department of Electrical Engineering- Shiraz University
كليدواژه :
Texture Analysis , Synthetic Aperture Radar , Alpha Stable Distribution , Image Segmentation , Statistical Modeling
سال انتشار :
آبان و آذر 1397
عنوان كنفرانس :
پنجمين كنفرانس ملي رادار و سامانه هاي مراقبتي
چكيده لاتين :
Abstract—Synthetic aperture radar is a high resolution microwave band imaging method used in various areas of remote sensing. In this paper a novel segmentation method for synthetic aperture radar images based on statistical modeling is presented. Skewed alpha-stable distribution is used for image modeling. Performance of the proposed method is compared to different statistical models and other texture analysis methods. Simulation results show the proposed algorithm’s superiority to other methods
