Attitude Estimation and Geometry Reconstruction of Satellite Targets Based on ISAR Image Sequence Interpretation

Ya, Zhou; Zhang, Lei; Cao, Yunhe; Wu, Zhenhua

doi:10.1109/taes.2018.2875503

Cited by 51 publications

(15 citation statements)

References 25 publications

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“…An observable segment time (AOST) duration the groundbased ISAR imaging radar to low earth orbit spacecraft is usually no more than twenty minutes [14]. For the attitude stable spacecraft, the attitude angle is considered to be invariant in the orbit coordinate system.…”

Section: Motion Model Of Attitude Rolling Spacecraft and Analysis Of Isar Imaging Planementioning

confidence: 99%

See 1 more Smart Citation

Axial Attitude Estimation of Spacecraft in Orbit Based on ISAR Image Sequence

Kou

Liu

Zhong

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Attitude estimation is a significant task for monitoring noncooperative spacecraft in orbit. Inverse synthetic aperture radar (ISAR) is an effective method to obtain the structure, size, and attitude of spacecraft. Most existing methods of attitude estimation based on ISAR images generally rely on characteristic point matching or rectangular feature matching among ISAR images. They often need high quality ISAR images, so the robustness is usually poor. A novel method for estimating spacecraft's axial attitude in ISAR image is proposed in this article. This method does not need to utilize a simulation database, or to match sequence of specific features, so it has good robustness. Our method bridges Range-Doppler images and attitude parameters with the accommodation of spacecraft's orbit parameters and the ISAR geometric projection model. Based on the ISAR imaging turntable model, the accurate position of the imaging plane of the spacecraft in orbit is derived. Then, attitude parameters are estimated by an optimization of the projection of spacecraft's three-dimensional model to the imaging plane. Experimental results demonstrate the effectiveness and robustness of the proposed method to estimate attitude of spacecraft in orbit by the simulated and measured ISAR images.

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Section: Motion Model Of Attitude Rolling Spacecraft and Analysis Of Isar Imaging Planementioning

confidence: 99%

“…Moreover, it may be sensitive to noise and can not be used when the LOS changes dramatically. Recently, a method was proposed by Zhou et al [14] based on rectangular feature matching. When some ISAR sequence images of spacecraft have rectangular structure, this method performs well.…”

Section: Introductionmentioning

confidence: 99%

Axial Attitude Estimation of Spacecraft in Orbit Based on ISAR Image Sequence

Kou

Liu

Zhong

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Because both SAR and ISAR images are based on the relative motion between the radar and target, we use the uniform model that the target is fixed while the radar moves to express the motion geometry of radar imaging in this paper. When the relative translation between target and radar is compensated well, the instantaneous distance of a certain scattering center is determined by the inner product between its 3D position and the instantaneous LOS unit vector in the target Cartesian coordinates [9], [10], [17]. As the scattering points position is assumed to be fixed, the relative rotation is represented by the equivalent rotation of the instantaneous…”

Section: A the Projection Model Of Radar Imagingmentioning

confidence: 99%

“…Besides, as an essential factor of radar imaging, the diversity of synthetic aperture manifold has a direct impact on the performance of the 3D information analysis. In some particular observations, such as the longtime observation of an in-orbit satellite based on ground radars, it is hard to analyze target 3D information when the angular source of radar observation is limited [9]. In current literatures, there are some successful works on 3D imaging radar [12]- [15].…”

Section: Introductionmentioning

confidence: 99%

Target Three-Dimensional Reconstruction From the Multi-View Radar Image Sequence

Zhang

Chao

et al. 2019

IEEE Access

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Target three-dimensional (3D) reconstruction is a hot topic and also a challenge in remote sensing applications. In this paper, a new reconstruction algorithm is proposed to reconstruct the 3D surface of the stable attitude target from its multi-view radar image sequence. Uniform explicit expression of the radar and optical imaging geometries is derived to bridge the 3D target structure and these two sorts of observation images. In this way, the visual hull of the target is reconstructed by exploiting the multiview stereo techniques to the silhouette information extracted from the radar image sequence. Meanwhile, the target absolute attitude is also determined. Furthermore, we analyze the primary difficulty of the method induced from the limited radar observation view in a typical application, the 3D reconstruction of an in-orbit satellite. Then, an extended algorithm is proposed with the feature fusion of the radar and optical images to achieve dramatic performance enhancement of the reconstruction in this condition. The feasibility of the proposed algorithm is confirmed in the experiment part, and some conclusions are drawn to guide the future work about extended applications of the proposed algorithm as well.INDEX TERMS Radar imaging, geometrical projection, three-dimensional reconstruction, feature fusion of the radar and optical images.

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“…In [22], the speeded up robust features (SURF) were used to extract feature points and estimate the transformation matrix between the ISAR images. The relationship between the rectangular structure on the target and the projection on the ISAR images was deduced with the radar LOS known, and the linear structure on the ISAR images were associated in [23]. These algorithms focus on satellite targets, which contain straight-line structure, and the attitude changes slowly.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Absolute Attitude Reconstruction of a Rigid Body Based on Multi-Station HRRP Sequences

Dai

Liu

et al. 2020

IEEE Access

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This study proposes a three-dimensional (3-D) absolute attitude reconstruction algorithm of a rigid body target based on multi-station high-resolution range profile (HRRP) sequences. The existing 3-D reconstruction algorithms rely on the target motion form and the reconstructed attitude is inaccurate due to the mismatch of the micro-motion model. In this study, the coordinates of the scattering centers are first calculated from the HRRP sequences of each radar using the factorization method. Then, the multistation data are associated with the reconstructed scattering center coordinates, and the absolute coordinates is estimated by the relationship between the associated radar line-of-sights (LOSs) and the absolute LOSs. The 3-D reconstruction algorithms for the stable scattering centers and the sliding scattering centers are studied. Numerical simulations verify that the proposed algorithm can reconstruct the 3-D absolute attitude of a rigid body target and is not affected by the mismatch of the target micro-motion model. INDEX TERMSAbsolute attitude, reconstruction before association, factorization method, singular value decomposition (SVD) method.

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Attitude Estimation and Geometry Reconstruction of Satellite Targets Based on ISAR Image Sequence Interpretation

Cited by 51 publications

References 25 publications

Axial Attitude Estimation of Spacecraft in Orbit Based on ISAR Image Sequence

Axial Attitude Estimation of Spacecraft in Orbit Based on ISAR Image Sequence

Target Three-Dimensional Reconstruction From the Multi-View Radar Image Sequence

Three-Dimensional Absolute Attitude Reconstruction of a Rigid Body Based on Multi-Station HRRP Sequences

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