Joint Estimation of Absolute Attitude and Size for Satellite Targets Based on Multi-Feature Fusion of Single ISAR Image

Wang, Jiadong; Li, Yachao; Song, Ming; Xing, Mengdao

doi:10.1109/tgrs.2022.3159345

Cited by 9 publications

(2 citation statements)

References 30 publications

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“…In the radar field, high-resolution radar images are generally used as the data basis for the inversion of target attitude, but the acquisition cost of high-resolution radar images is relatively high and depends on different imaging algorithms and image processing algorithms [3,4]. In contrast, RCS is easier to obtain, avoids the complex process of radar imaging and image processing, and RCS also presents regular changes under different target attitudes, making it possible to invert target attitude through radar observation data [5,6].…”

Section: Introductionmentioning

confidence: 99%

Attitude estimation of aerial targets RCS based on 1-D Cut-ResNet50

Zhang,

Liu,

et al. 2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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Feature extraction is one of the key technologies for aerial target attitude estimation. Traditional methods rely on manual feature extraction, which only uses shallow structural features, thus limiting the accuracy of target attitude estimation. In this paper, for the first time, a deep learning method is adopted to conduct research on aerial target attitude estimation based on radar cross section (RCS). Considering the small dimension of RCS data and the complex mapping relationship between RCS and attitude, one-dimensional Cut-ResNet50 with 6 Bottleneck is proposed by pruning ResNet50, which simplifies the model while increasing the generalization performance of the model. The loss function is modified by combining cross-entropy and mean square error to enhance the learning ability of the model. Finally, attitude recognition testing results on simulated RCS dataset and comparison with various models validate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Attitude estimation of aerial targets RCS based on 1-D Cut-ResNet50

Zhang,

Liu,

et al. 2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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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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High-Resolution BVLOS Radar Imaging Method for Noncooperative Complex Maneuvering Targets

Wang,

Yang,

et al. 2024

IEEE Sensors J.

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Joint Estimation of Absolute Attitude and Size for Satellite Targets Based on Multi-Feature Fusion of Single ISAR Image

Cited by 9 publications

References 30 publications

Attitude estimation of aerial targets RCS based on 1-D Cut-ResNet50

Attitude estimation of aerial targets RCS based on 1-D Cut-ResNet50

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

High-Resolution BVLOS Radar Imaging Method for Noncooperative Complex Maneuvering Targets

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