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声学相机声图中声源定位有效性评估特征

Features for Evaluating Source Localization Effectiveness in Sound Maps from Acoustic Cameras.

作者信息

Fredianelli Luca, Pedrini Gregorio, Bolognese Matteo, Bernardini Marco, Fidecaro Francesco, Licitra Gaetano

机构信息

National Research Council (CNR), a Moruzzi 1, 56124 Pisa, Italy.

Department of Earth Sciences, University of Pisa, Via Santa Maria 53, 56127 Pisa, Italy.

出版信息

Sensors (Basel). 2024 Jul 19;24(14):4696. doi: 10.3390/s24144696.

DOI:10.3390/s24144696
PMID:39066093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11281292/
Abstract

Acoustic cameras (ACs) have become very popular in the last decade as an increasing number of applications in environmental acoustics are observed, which are mainly used to display the points of greatest noise emission of one or more sound sources. The results obtained are not yet certifiable because the beamforming algorithms or hardware behave differently under different measurement conditions, but at present, not enough studies have been dedicated to clarify the issues. The present study aims to provide a methodology to extract analytical features from sound maps obtained with ACs, which are generally only visual information. Based on the inputs obtained through a specific measurement campaign carried out with an AC and a known sound source in free field conditions, the present work elaborated a methodology for gathering the coordinates of the maximum emission point on screen, its distance from the real position of the source and the uncertainty associated with this position. The results obtained with the proposed method can be compared, thus acting as a basis for future comparison studies among calculations made with different beamforming algorithms or data gathered with different ACs in all real case scenarios. The method can be applicable to any other sector interested in gathering data from intensity maps not related to sound.

摘要

在过去十年中，声学相机（ACs）变得非常流行，因为在环境声学中观察到越来越多的应用，其主要用于显示一个或多个声源的最大噪声发射点。由于波束形成算法或硬件在不同测量条件下表现不同，所获得的结果尚未得到认证，但目前，尚未有足够的研究致力于阐明这些问题。本研究旨在提供一种方法，从用声学相机获得的声图中提取分析特征，这些声图通常只是视觉信息。基于通过在自由场条件下使用声学相机和已知声源进行的特定测量活动获得的输入，本工作阐述了一种方法，用于收集屏幕上最大发射点的坐标、其与声源实际位置的距离以及与该位置相关的不确定性。用所提出的方法获得的结果可以进行比较，从而作为未来在所有实际场景中用不同波束形成算法进行计算或用不同声学相机收集数据之间比较研究的基础。该方法可适用于任何其他有兴趣从与声音无关的强度图中收集数据的领域。

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