基于主动声呐模型的水下环境声图像模拟器

Ngoc Trung Mai, Yonghoon Ji, Hanwool Woo, Y. Tamura, A. Yamashita, H. Asama
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引用次数: 10

摘要

水下任务,如维护、检查、目标识别或同时定位和测绘(SLAM),需要准确的水下信息。声学相机是获取水下信息的杰出传感器,因为即使在浑浊的水中,它们也能提供比其他传感器更精确的声学图像细节。本文提出了一种基于主动声呐模型的新型声图像模拟器,分析了信号处理与图像显示机制之间的相关性。实验结果表明,该仿真器能够从任意视点生成逼真的虚拟声图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acoustic Image Simulator Based on Active Sonar Model in Underwater Environment
Underwater tasks such as maintenance, inspection, target recognition, or simultaneous localization and mapping (SLAM) require accurate underwater information. Acoustic cameras are outstanding sensors for acquiring underwater information because, even in turbid water, they can provide acoustic images with more accurate detail than what other sensors provide. In this paper, we proposes a novel acoustic image simulator based on active sonar model analyzing the correlation between signal processing and an image display mechanism that have not yet been clarified. The results demonstrate that our proposed simulator can successfully generate realistic virtual acoustic images from arbitrary viewpoints.
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