Three-Dimensional Scattering Center Extraction Based on Wide Aperture Data at a Single Elevation

“…In [13], local 2D SC models are used for 3D SC model extraction. However, the azimuth spacing for local 2D SC extraction must satisfy Nyquist sampling theorem.…”

Section: Methodsmentioning

confidence: 99%

“…The elevation is 30 • , while the azimuth varies from 0 • to 360 • with angle interval 1 • , thus we have N = 360. In [13], local 2D SCs are used in the 3D SC extraction where the 2D SCs are extracted via the data collected in a small aperture. Suppose that the data are obtained at a series of stepped azimuth angles {Δθ 2Δθ .…”

Section: Performance Evaluationmentioning

confidence: 99%

“…However, in real situations such as the turntable measurement in an anechoic chamber, dense grid and wide coverage in azimuth are easily achieved, whereas the grid in elevation, even if it is sparse, is hard to achieve. In [13], a method is proposed to reconstruct the 3D SCs at a single elevation. The circular aperture is subdivided into a series of overlapped narrow sub-apertures for local 2D SC extraction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Modified Ransac Method for Three-Dimensional Scattering Center Extraction at a Single Elevation

Qing-lin¹,

Hu²,

Yan³

et al. 2016

PIER B

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In this paper, we focus on the 3D SC model reconstruction from data with wide azimuthal aperture at a single elevation. Since the existing method is difficult to implement for high-frequency signal or large-size target, we propose a modified RANSAC method for the extraction. In our approach, the 3D positions of the SCs are estimated from the 1D SCs via a modified RANSAC method. Then the scattering coefficients are refined via a linear least squares algorithm. The approach is robust with noise because the RANSAC method is able to tolerate a tremendous fraction of outliers. Moreover, it does not suffer from limited accuracy caused by the discretization of the parameter space in [13]. Experiments demonstrate the effectiveness of the proposed approach.

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“…The InISAR employs at least two antennas placed in special positions [10][11][12][13][14][15][16][17][18][19][20][21]. Although the InISAR system can easily obtain the 3D image without prior knowledge of the target motion, it is of relatively high cost and hardware complexity for a single radar.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Perspective 3D Reconstruction Method with Single Perspective Instantaneous Target Attitude Estimation

Xing

Xia

et al. 2019

Remote Sensing

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Due to the limited information of two-dimensional (2D) radar images, the study of three-dimensional (3D) radar image reconstruction has received significant attention. However, the target attitude obtained by the existing 3D reconstruction methods is unknown. In addition, using a single perspective, one can only get 3D reconstruction result of a simple target. For a complex target, due to occlusion and scattering characteristics, 3D reconstruction information obtained from a single perspective is limited. To tackle the above two problems, this paper proposes a new method for multi-perspective 3D reconstruction and single perspective instantaneous target attitude estimation. This method consists of three steps. First, the result of 3D reconstruction with unknown attitude is obtained by the traditional matrix factorization method. Then, in order to obtain the attitude of a target 3D reconstruction, additional constraints are added to the projection vectors which are computed from the matrix factorization method. Finally, the information from different perspectives are merged into a single layer information according to certain rules. After the information fusion, a multi-perspective 3D reconstruction structure with better visibility and more information is obtained. Simulation results have proved the effectiveness and robustness of the proposed method.

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Three-Dimensional Scattering Center Extraction Based on Wide Aperture Data at a Single Elevation

Cited by 33 publications

References 20 publications

Imaging and structural feature decomposition of a complex target using multi-aspect polarimetric scattering

Imaging and structural feature decomposition of a complex target using multi-aspect polarimetric scattering

A Modified Ransac Method for Three-Dimensional Scattering Center Extraction at a Single Elevation

A Multi-Perspective 3D Reconstruction Method with Single Perspective Instantaneous Target Attitude Estimation

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