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27 October 2013 Three-dimensional reconstruction using ISAR sequences
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Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 891908 (2013)
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
An improved method of three-dimensional (3D) reconstruction from Inverse Synthetic Aperture Radar (ISAR) sequences based on factorization are proposed in this paper, which can improve the accuracy of reconstruction, and increase the number of reconstructed 3D features. A segmentation method of feature points based on clustering analysis is applied, which can remove some false points from reconstructed 3D features to enhance the precision of three-dimensional reconstruction. The result of simulation images and real images show the validity of the algorithm.
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Gang Li, Yang Liu, Longlong Wu, Shiyou Xu, and Zengping Chen "Three-dimensional reconstruction using ISAR sequences", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891908 (27 October 2013);

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