High-Resolution Sonars: What Resolution Do We Need for Target Recognition?
High-Resolution Sonars: What Resolution Do We Need for Target Recognition?
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DOI：
10.1155/2010/205095
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发表时间：
2010-02
影响因子：
1.9
通讯作者：
Y. Pailhas;Y. Pétillot;C. Capus
中科院分区：
文献类型：
--
作者：
Y. Pailhas;Y. Pétillot;C. Capus
声纳图像中的目标识别一直是海洋领域的一个活跃的研究领域，特别是在水雷对抗措施的背景下。最近，随着分辨率提高的新传感器的开发，它受到了更多的关注;出现了对关键海上资产的新威胁和基于自主平台的目标识别新模式。随着最近合成孔径声纳系统和高频声纳的引入，声纳分辨率显著提高，噪声水平降低。声纳图像是距离图像，但在高分辨率下，它们往往在视觉上看起来像光学图像。传统的算法已经开发专门用于成像声纳，因为它们的有限的分辨率和高噪声水平。有了高分辨率声纳，在图像处理领域为自然图像开发的算法变得适用。然而，缺乏大型数据集阻碍了此类算法的发展。在这里，我们提出了一个快速和现实的声纳模拟器，使开发和评估这样的算法。我们开发了一个分类器，然后使用我们模拟合成声纳图像分析其性能。最后，我们讨论了传感器的分辨率要求，以实现各种目标的有效分类，并证明了与高分辨率声纳目标亮点分析是目标识别的关键。
Target recognition in sonar imagery has long been an active research area in the maritime domain, especially in the mine-counter measure context. Recently it has received even more attention as new sensors with increased resolution have been developed; new threats to critical maritime assets and a new paradigm for target recognition based on autonomous platforms have emerged. With the recent introduction of Synthetic Aperture Sonar systems and high-frequency sonars, sonar resolution has dramatically increased and noise levels decreased. Sonar images are distance images but at high resolution they tend to appear visually as optical images. Traditionally algorithms have been developed specifically for imaging sonars because of their limited resolution and high noise levels. With high-resolution sonars, algorithms developed in the image processing field for natural images become applicable. However, the lack of large datasets has hampered the development of such algorithms. Here we present a fast and realistic sonar simulator enabling development and evaluation of such algorithms.We develop a classifier and then analyse its performances using our simulated synthetic sonar images. Finally, we discuss sensor resolution requirements to achieve effective classification of various targets and demonstrate that with high resolution sonars target highlight analysis is the key for target recognition.