数字海洋与水下攻防2024，Vol.7Issue(4)：376-382,7.DOI:10.19838/j.issn.2096-5753.2024.04.003
基于侧扫声呐的深海广域复杂地形快速搜探声图优化方法
Acoustic Image Optimization Method for Quick Exploration of Deep Sea Wide Area Complex Terrain Based on Side Scan Sonar
摘要
Abstract
Due to the complex terrain and landforms of the seabed,as well as the disturbance during autonomous underwater vehicle(AUV)navigation,when AUV carrying a large range side scan sonar for wide-area rapid exploration,waterfall distortion,gain imbalance,and uneven brightness make it difficult to visually present the seabed terrain and landforms.Based on imaging principle of side scan sonar,characteristics of side scan sonar equipment,AUV motion sensing information and image processing method,an acoustic image optimization method is proposed.It integrates motion characteristics with seabed baseline extraction for distortion correction,uses characteristics of side scan sonar equipment for vertical gain correction,and adapts histogram equalization for brightness correction.Experiment shows that the method proposed in this article can clearly present terrain and geomorphic information.关键词
侧扫声呐/瀑布图畸变/增益失衡/亮度校正/AUVKey words
side scan sonar/waterfall distortion/gain imbalance/brightness correction/AUV分类
信息技术与安全科学引用本文复制引用
岳成海,徐会希,李良,王旭,朱宝彤,尹忠勋..基于侧扫声呐的深海广域复杂地形快速搜探声图优化方法[J].数字海洋与水下攻防,2024,7(4):376-382,7.基金项目
国家重点研发计划资助项目(2021YFC2800100). （2021YFC2800100）
