Space target recognition of ISAR image based on the PCA method

Ning Wang; YuZhuang Miao; Chen Tong; PengFei Cheng

doi:10.1117/12.2681267

8 June 2023 Space target recognition of ISAR image based on the PCA method

Ning Wang, YuZhuang Miao, Chen Tong, PengFei Cheng

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127073V (2023) https://doi.org/10.1117/12.2681267
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

With the continuous rise of broadband radar in recent years, the information acquisition of space targets has gradually expanded from the original RCS, orbit, one-dimensional range profile and other one-dimensional information to twodimensional image information. The traditional recognition and matching of space targets based on orbit information plays an important role in certain scenes, but for some orbit change targets, especially for orbit change outside the detectable range, To a large extent, it is necessary to recognize according to the shape of the target, and high-resolution ISAR images are helpful to recognize and judge the orbit changing target. This paper presents a spatial target recognition method of ISAR Image Based on principal component analysis (PCA). The recognition effects of training and testing in different imaging time periods are studied successively, and compared under different recognition methods. Based on the constructed target database, the principal component analysis method has a better recognition effect.

Citation Download Citation

Ning Wang, YuZhuang Miao, Chen Tong, and PengFei Cheng "Space target recognition of ISAR image based on the PCA method", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127073V (8 June 2023); https://doi.org/10.1117/12.2681267

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