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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:本文提出了一种基于分解的反向合成孔径雷达(ISAR)序列的三维(3D)重建方法,可以提高重建的准确性,并增加重建的3D特征的数量。应用了基于聚类分析的特征点的分割方法,其可以从重建的3D特征中移除一些虚假点,以增强三维重建的精度。仿真图像和实际图像的结果显示了算法的有效性。

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