Space Target Dynamic Identification by Exploiting Geometrical Feature Flow From ISAR Image Sequences

Duan, Jia; Xie, Pengfei; Zhang, Lei; Ma, Yan

doi:10.1109/jsen.2022.3210141

Cited by 8 publications

(1 citation statement)

References 16 publications

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“…In recent years, many scholars have proposed a large number of space target attitude estimation methods based on the special structural features of the space target body or components. The linear structural features of space target components are used in [11][12][13], the rectangular structure features of the space targets are used in [14,15], and the cuboid or cylindrical structural features of space targets are used in [16]. This type of algorithm utilizes the special structural feature constraints of the space targets to establish the estimation objective function, and achieves good estimation performance under the condition of a high signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

Estimating the Observation Area of a Stripmap SAR via an ISAR Image Sequence

Li,

Chen,

Cao

et al. 2023

Remote Sensing

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The stripmap mode is a basic and important mode for spaceborne synthetic aperture radars (SARs). Estimating the time-varying area observed by spaceborne SARs operating in stripmap mode is a practical but challenging field of research. In this article, we propose a novel method that parameterizes the time-varying area observed by the spaceborne SAR operating in the boresight stripmap mode into a fixed antenna attitude. Based on the principle of minimizing the dihedral angle between the plane containing the ideal estimated scatterers and the plane containing the actual parabolic antenna edge of a spaceborne SAR, an objective function is established for estimating the area observed by a spaceborne SAR operating in the boresight stripmap mode. Then, simulation experiments are designed to validate the feasibility and the robustness of the proposed method. The experimental simulation results show that the proposed method is feasible, and even under low signal-to-noise ratio (SNR) conditions of 10 dB, the proposed method still has good robustness.

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