Page 174 - 《应用声学》2025年第2期

第 44 卷 第 2 期 Vol. 44, No. 2
2025 年 3 月 Journal of Applied Acoustics March, 2025

⋄ 研究论文 ⋄

双时相合成孔径声呐图像目标变化检测方法

曾 腾 1,2 韦琳哲 1,2 黄海宁 1,2†

(1 中国科学院先进水下信息技术重点实验室 北京 100190)
(2 中国科学院声学研究所 北京 100190)

摘要：水下环境和水声信道随时间动态变化，合成孔径声呐形成的地貌或目标结果也会随之变化，导致目标漏
检和场景认知度低，给水下安防和无人导航等带来较大隐患。针对该问题，该文提出了基于双时相的合成孔径
声呐变化目标检测方法，根据帧间声图地理信息和特征的匹配，完成像素级的差异分析比对，实现变化目标的
检测和标注。经试验数据验证，该方法能够准确检测和标注预设的变化区域，对水下场景变化规律的掌握和威
胁目标的监测具有重要意义。
关键词：合成孔径声呐；变化检测；目标检测；声呐图像处理
中图法分类号: TB566 文献标识码: A 文章编号: 1000-310X(2025)02-0434-07
DOI: 10.11684/j.issn.1000-310X.2025.02.018

Target change detection based dual time-phase images for
synthetic aperture sonar

ZENG Teng 1,2 , WEI Linzhe 1,2 and HUANG Haining 1,2

(1 Key laboratory of Science And Technology on Advanced Underwater Acoustic Signal Processing,
Chinese Academy of Science, Beijing 100190, China)
(2 Institute of Acoustic, Chinese Academy of Science, Beijing 100190, China)

Abstract: With the change of underwater environment and channel over time, the target results and geomor-
phology produced by synthetic aperture sonar will alter as well. This lead to the problems of target missing
detection and low scene awareness, which brings danger to underwater security and unmanned navigation.
This research suggests a dual-time-phase changing target detection method to address this problem. Firstly,
the inter-frame acoustic map matching based on geographic information and feature is carried out, followed
by pixel-level difference analysis and comparison, and finally the detection and labeling of change targets is
realized. Verified by the test data, the method can accurately detect and label the preset change area, which
is of great significance for the mastery of the change rule of underwater scene and the monitoring of threat
targets.
Keywords: Synthetic aperture sonar; Change detection; Target detection; Sonar image processing

2023-11-03 收稿; 2023-12-18 定稿
作者简介: 曾腾 (1993– ), 女, 山东青岛人, 副研究员, 研究方向: 水声图像处理, 水声信号处理。
通信作者 E-mail: hhn@mail.ioa.ac.cn
†