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Three-Dimensional Reconstruction Using ISAR Sequences

机译:使用ISAR序列的三维重建

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摘要

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.
机译:提出了一种基于因式分解的逆合成孔径雷达(ISAR)序列三维(3D)重构的改进方法,可以提高重构的精度,并增加3D特征的数量。提出了一种基于聚类分析的特征点分割方法,可以从重建的3D特征中去除一些虚假点,从而提高三维重建的精度。仿真图像和真实图像的结果证明了该算法的有效性。

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