@inproceedings{75248fc416824704a777fbde5e4737f2,
title = "Target Detection Method in BTR based on SVM",
abstract = "Aiming at the problem of low SNR in complex sea conditions, which leads to low target detection rate and robustness in BTR, a BTR target detection method based on SVM is proposed. The method uses the waveform difference between target and noise in spatial domain to give the feature description; In this paper, SVM is used to train BTR target detection model; The underwater acoustic target point trace detection is completed by region-to-point trace extraction method. The experimental results show that the proposed method can extract underwater acoustic targets in low SNR effectively and robustly.",
keywords = "BTR, SVM, Target Detection, TBD",
author = "Qiang Wang and Yongmei Cheng and Chengyuan Liu and Siyuan Cheng and Su Yang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 China Automation Congress, CAC 2021 ; Conference date: 22-10-2021 Through 24-10-2021",
year = "2021",
doi = "10.1109/CAC53003.2021.9728060",
language = "英语",
series = "Proceeding - 2021 China Automation Congress, CAC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1509--1514",
booktitle = "Proceeding - 2021 China Automation Congress, CAC 2021",
}