This paper presents Model CS-1 side scan sonar system components, principle and its features.
本文介绍了CS - 1型侧扫声呐系统的组成和工作原理以及它的特点。
This paper deals with statistical analysis method and spectral analysis method for classification of sea bed using side scan sonar data.
本文对用侧扫声纳信号进行海床类型识别的统计分析法和频谱分析法进行探讨。
All data in analogue form have been collected under various sea condition with a medium-range side scan sonar system and later digitized for numerical processing.
所有的模拟数据是在不同海况条件下用中量程侧扫声纳系统取得的，并进行了数字量化和数值处理。
In 1967, Edgerton's side-scan sonar systems revealed a large, unusually shaped object, which McKee believed was the Mary Rose.
1967年，埃杰顿的侧扫声纳系统发现了一个巨大的、形状异常的物体，麦基认为它就是玛丽·罗斯号。
The article introduced the portable side - scan sonar.
介绍一种便携式侧扫声纳。
Side-scan sonar image (SSI) must be segmented into regions of shadow, sea-bottom-reverberation, and object-highlight before underwater object can automatically be detected and recognized.
为了利用侧扫声呐进行水下目标自动探测和识别，首先必须将声呐图像分为目标高亮区、海底混响区和目标阴影区。
This paper presents the principle, constitution and function of our Sea Imaging System and also gives some acoustic images from Side-scan sonar and the pro-filing sonar.
木文介绍了本海底图象设备的原理、组成和功能，并给出了侧扫声呐和剖面声呐的一些声图。
Co-application of Side-Scan Sonar and kinetic positioning vessels is the best selected to resolve the problem, but the cost is too high.
旁侧声呐和动力定位船的配合使用是处理这类问题的最佳选择，但租用动力定位船费用昂贵，成本很高。
Deep tow devices are used for some side-scan sonar, gravity and magnetic surveys.
深拖装置也用于旁侧扫描声纳、重力以及磁法勘探。
The bots have the advantage of being able to carry more equipment, like advanced cameras and side-scan sonar, and they also prevent the potential loss of life.
机器人可以负载更多的设备，如高级摄像机和侧扫声纳等，他们还可以防止人类或动物潜在的生命危险。
Results show that the method has a perfect performance for regions of interest (target) detection of side-scan sonar image with strong texture.
实验结果证明，该方法对于纹理较强的侧扫声纳图像中感兴趣区域（目标）的检测有较好的效果。
Results show that the method has a perfect performance for regions of interest (target) detection of side-scan sonar image with strong texture.
实验结果证明，该方法对于纹理较强的侧扫声纳图像中感兴趣区域（目标）的检测有较好的效果。
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