Joint estimation of space target attitude and size based on polarimetric ISAR images and modified U-net model

Xing-chao Cui; Yao-wen Fu; Si-wei Chen

doi:10.1117/12.3009152

29 December 2023 Joint estimation of space target attitude and size based on polarimetric ISAR images and modified U-net model

Xing-chao Cui, Yao-wen Fu, Si-wei Chen

Author Affiliations +

Proceedings Volume 12976, Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2023); 129761C (2023) https://doi.org/10.1117/12.3009152
Event: 8th Asia Pacific Conference on Optics Manufacture & 3rd International Forum of Young Scientists on Advanced Optical Manufacturing, 2023, Shenzhen, China

Abstract

Accurate parameter estimation of space target attitude and size with inverse synthetic aperture radar (ISAR) image is a tough task, which plays an important role in analyzing and monitoring space awareness situation. Key point extraction is one of the crucial procedures for parameter estimation. Cross-polarization ISAR data works well in edge structure reservation. Moreover, considering the characteristics of ISAR image, U-net model, which performs well in sample-background-image segmentation, is more suitable for key point extraction. Therefore, a joint estimation method for space target attitude and size is proposed in this work based on polarimetric ISAR images and modified U-net model. The main contribution falls on two parts. Firstly, key point extraction procedure is conducted with modified U-net model, the architecture and loss function of which are modified according to the characteristics of polarimetric ISAR images. Secondly, the attitude and size parameter of space target are jointly estimated based on the extracted key points and ISAR projection relationship. Compared with comparative method, the superiority of the proposed method is validated using simulated data. Quantitatively, the mean estimation error of attitude parameter is 0.88° and that of size parameter is 0.12%.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xing-chao Cui, Yao-wen Fu, and Si-wei Chen "Joint estimation of space target attitude and size based on polarimetric ISAR images and modified U-net model", Proc. SPIE 12976, Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2023), 129761C (29 December 2023); https://doi.org/10.1117/12.3009152

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KEYWORDS

Polarimetry

Solar cells

Image segmentation

3D projection

Polarization

Radar

Data modeling

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