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14 December 2015 Spindle extraction method for ISAR image based on Radon transform
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Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 981217 (2015) https://doi.org/10.1117/12.2209219
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
In this paper, a method of spindle extraction of target in inverse synthetic aperture radar (ISAR) image is proposed which depends on Radon Transform. Firstly, utilizing Radon Transform to detect all straight lines which are collinear with these line segments in image. Then, using Sobel operator to detect image contour. Finally, finding all intersections of each straight line and image contour, the two intersections which have maximum distance between them is the two ends of this line segment and the longest line segment of all line segments is spindle of target. According to the proposed spindle extraction method, one hundred simulated ISAR images which are respectively rotated 0 degrees, 10 degrees, 20 degrees, 30 degrees and 40 degrees in counterclockwise are used to do experiment and the proposed method and the detection results are more close to the real spindle of target than the method based on Hough Transform .
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Xia Wei, Sheng Zheng, Xiangyun Zeng, Daoyuan Zhu, and Gaogui Xu "Spindle extraction method for ISAR image based on Radon transform", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981217 (14 December 2015); https://doi.org/10.1117/12.2209219
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