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Proceedings Paper

Three-dimensional reconstruction using ISAR sequences
Author(s): Gang Li; Yang Liu; Longlong Wu; Shiyou Xu; Zengping Chen
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Paper Abstract

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.

Paper Details

Date Published: 27 October 2013
PDF: 7 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891908 (27 October 2013); doi: 10.1117/12.2031346
Show Author Affiliations
Gang Li, National Univ. of Defense Technology (China)
Yang Liu, National Univ. of Defense Technology (China)
Longlong Wu, National Univ. of Defense Technology (China)
Shiyou Xu, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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