QiandaoEar22

QiandaoEar22 is a high quality noise dataset for identifying specific ship from multiple underwater acoustic targets using ship radiated noise. This dataset encompasses 9 hours and 28 minutes of real-world ship radiated noise data and 21 hours and 58 minutes of background noise data. Collected using digitalHyd SR-1 self-capacitance hydrophones in a real underwater acoustic environment at Qiandao Lake, China, during June 2022, this dataset serves as a high-quality ship radiated noise recording. The experimental period coincided with the tourist season, resulting in recorded ship radiated noise primarily originating from sightseeing boats and speedboats. Due to the hydrophone's proximity to the navigation channel, passing vessels, including sightseeing boats, speedboats, and other watercraft, contribute to a composite radiated noise. Additional targets include large tour boats, cargo ships, sanitation vessels, small boats, research ships, and ambient noise. Moreover, mechanism of collection of data and its labeling are also discussed. Utilizing the QiandaoEar22 dataset, we built some sub-dataset which help us to distinguish ship signals and background noise signals from the underwater acoustic data and successfully recognizes three specific types of ship signals—speedboats, KaiYuan, and UUV—from the multi-target ship signals.

千岛声22（QiandaoEar22）是一款高质量噪声数据集，旨在利用舰船辐射噪声从多水下声目标中识别特定舰船。该数据集包含9小时28分钟的真实舰船辐射噪声数据，以及21小时58分钟的背景噪声数据。本数据集于2022年6月在中国千岛湖真实水下声学环境中采集，采用digitalHyd SR-1型自电容水听器，是一份高质量的舰船辐射噪声实录。本次数据采集时段恰逢旅游旺季，因此记录到的舰船辐射噪声主要来自观光游船与高速快艇。由于水听器紧邻航道，过往船只（包括观光游船、高速快艇及其他水上船舶）会产生复合辐射噪声。此外，数据集还涵盖大型观光游船、货船、环卫船舶、小型小艇、科研船等目标以及环境噪声。此外，本数据集还对数据采集流程与标注规则进行了讨论。基于千岛声22（QiandaoEar22）数据集，我们构建了若干子数据集，用于从水下声学数据中区分舰船信号与背景噪声信号，并成功从多目标舰船信号中识别出三类特定舰船信号——高速快艇、开元号（KaiYuan）以及无人水下航行器（UUV）。

搜集汇总

背景与挑战

背景概述

QiandaoEar22是一个高质量的水下声学目标识别数据集，包含船只辐射噪声和背景噪声数据，适用于特征提取和目标分类任务。数据集采集于中国千岛湖，使用数字Hyd SR-1自电容水听器记录，主要包含观光船和快艇等船只的噪声数据。