Abstract
In order to obtain the target information in the test area accurately, a polarization spectrum imaging system is designed, and a target recognition algorithm based on gray feature extraction is proposed. The system adopts laser, polarization analyzer, CCD, and processing module. The rapid identification of the target is accomplished by obtaining the spectral information of different polarization states. The laser acquisition optical system is designed, including the collimation module and the focusing module. The experiment calculates the target recognition probability under the condition of different number of features. The experimental results show that at 0.5 km, there is little difference in the number of different characteristic wavelengths, and the recognition probability is above 99.5%. After more than 1 km, with the increase of the number of characteristic wavelengths, the recognition probability is relatively high, but the overall results are above 95%. It can be seen that the algorithm has a good recognition effect and has certain application value.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Chen, X. et al. (2023). Target Recognition Algorithm Based on Polarization Spectral Imaging. In: Jansen, B.J., Zhou, Q., Ye, J. (eds) Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022). CIPA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 155. Springer, Singapore. https://doi.org/10.1007/978-981-19-9373-2_61
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DOI: https://doi.org/10.1007/978-981-19-9373-2_61
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