| Issue |
E3S Web Conf.
Volume 522, 2024
2023 9th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2023)
|
|
|---|---|---|
| Article Number | 01038 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202452201038 | |
| Published online | 07 May 2024 | |
Ship target recognition based on superstructure matching
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 15001, China
* Corresponding author: franklin_su@hit.edu.cn
The Automatic Target Recognition(ATR) of ship targets based on Inverse Synthetic Aperture Radar(ISAR) images plays a significant role in naval warfare.To address the issue that existing superstructure-based recognition methods do not fully use superstructure shape information,we propose a novel automatic ship recognition method based on superstructure matching using the Dynamic Time Warping (DTW) algorithm.Firstly,the superstructures of each class are extracted from ISAR images after preprocessing and preliminary calibration,then the DTW algorithm is used to create the superstructure templates, and eventually the target's class is determined by the DTW distance from the templates.The proposed method is robust to ship deformation from changing aspect angles and requires few training samples per class.The experimental results of applying the technique on real ISAR data demonstrate the effectiveness of the proposed method.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.