3-D Reconstruction of Space Target Based on Silhouettes Fused ISAR–Optical Images

Long, Bo; Tang, Pengling; Wang, Feng; Jin, Ya-Qiu

doi:10.1109/tgrs.2024.3408056

IEEE Trans. Geosci. Remote Sensing

2024

DOI: 10.1109/tgrs.2024.3408056

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3-D Reconstruction of Space Target Based on Silhouettes Fused ISAR–Optical Images

Bo Long,

Pengling Tang,

Feng Wang

et al.

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A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints

Li,

Guo,

et al. 2024

Remote Sensing

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Combining multiple data sources, Digital Earth is an integrated observation platform based on air–space–ground–sea monitoring systems. Among these data sources, the Inverse Synthetic Aperture Radar (ISAR) is a crucial observation method. ISAR is typically utilized to monitor both military and civilian ships due to its all-day and all-weather superiority. However, in complex scenarios, multiple targets may exist within the same radar antenna beam, resulting in severe defocusing due to different motion conditions. Therefore, this paper proposes a multiple-target ISAR imaging method with the removal of micro-motion connections based on the integration of joint constraints. The fully motion-compensated targets exhibit low rank and local similarity in the high-resolution range profile (HRRP) domain, while the micro-motion components possess sparsity. Additionally, targets display sparsity in the image domain. Inspired by this, we formulate a novel optimization by promoting the low-rank, the Laplacian, and the sparsity constraints of targets and the sparsity constraints of the micro-motion components. This optimization problem is solved by the linearized alternative direction method with adaptive penalty (LADMAP). Furthermore, the different motions of various targets degrade their inherent characteristics. Therefore, we integrate motion compensation transformation into the optimization, accordingly achieving the separation of rigid bodies and the micro-motion components of different targets. Experiments based on simulated data demonstrate the effectiveness of the proposed method.

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A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints

Li,

Guo,

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

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3-D Reconstruction of Space Target Based on Silhouettes Fused ISAR–Optical Images

Cited by 1 publication

References 43 publications

A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints

A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints

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