Journal ArticleDOI
Attitude Estimation and Geometry Reconstruction of Satellite Targets Based on ISAR Image Sequence Interpretation
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TLDR
A novel approach to estimating the three-dimensional attitude and reconstructing typical component geometry of space targets from an ISAR image sequence by exploring the shape feature within the ISAR sequence and solving an optimization with prior shape constraints is proposed.Abstract:
Analysis of the attitude and geometry of space targets with the inverse synthetic aperture radar (ISAR) technique is a significant and difficult task. Most of the existing methods hardly consider the radar observation geometry in the determination of target attitude. This paper proposes a novel approach to estimating the three-dimensional attitude and reconstructing typical component geometry of space targets from an ISAR image sequence. The approach bridges range-Doppler images and target attitude parameters with the accommodation of target trajectory information and the ISAR geometric projection model. By exploring the shape feature within the ISAR sequence, the target attitude and the rectangular component size are estimated through solving an optimization with prior shape constraints. Comparative experiments illustrate the advantages of the proposed method in both feature association and reconstruction feasibility. Moreover, considering practical circumstances, a further analysis is made of the robustness of the proposed algorithm after the attitude estimation experiment.read more
Citations
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The Radon Transform And Some Of Its Applications
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Optical-and-Radar Image Fusion for Dynamic Estimation of Spin Satellites
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Dynamic Estimation of Spin Spacecraft Based on Multiple-Station ISAR Images
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Automatic Target Recognition Based on Alignments of Three-Dimensional Interferometric ISAR Images and CAD Models
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Target Three-Dimensional Reconstruction From the Multi-View Radar Image Sequence
TL;DR: A new reconstruction algorithm is proposed to reconstruct the 3D surface of the stable attitude target from its multi-view radar image sequence to achieve dramatic performance enhancement of the reconstruction in this condition.
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TL;DR: In this paper, the singular value decomposition (SVDC) technique is used to factor the measurement matrix into two matrices which represent object shape and camera rotation respectively, and two of the three translation components are computed in a preprocessing stage.
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