Intent recognition of maritime group targets based on BiConvLSTM-Attention

Feihong Qiao; Yunqiao Xi; Jian Liu; Junping Zhang

doi:10.1117/12.3014707

7 June 2024 Intent recognition of maritime group targets based on BiConvLSTM-Attention

Feihong Qiao, Yunqiao Xi, Jian Liu, Junping Zhang

Proceedings Volume 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII; 1305716 (2024) https://doi.org/10.1117/12.3014707
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

Recognizing the behavioral intent of group targets or formation targets can not rely solely on a single moment and an individual target, nor can it ignore the dynamic changes of situation elements in the time domain, and especially the integrity of formation targets should be considered. To address this issue, this paper proposes a group targets intent recognition model based on BiConvLSTM-Attention. The feature set is constructed based on the electromagnetic and motion characteristics of the group targets in a certain period of time, which is encoded into time series features, and corresponding intention labels are assigned at the same time. Simulation results show that the proposed method is more accurate and reliable for the behavior intention recognition of group targets than other comparison methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feihong Qiao, Yunqiao Xi, Jian Liu, and Junping Zhang "Intent recognition of maritime group targets based on BiConvLSTM-Attention", Proc. SPIE 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, 1305716 (7 June 2024); https://doi.org/10.1117/12.3014707

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