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On the generation of airborne multi-frequency ultrasonic images with biomimetic sonar head

机译:用仿真摩托的声纳头产生空气传播多频超声图像

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Airborne ultrasonic frequency images are used in many areas, e.g. medicine and industry, for change detection and fault detection. Airborne images are difficult to obtain or manage, mainly because of the high absorption and attenuation by air. This work presents new results in this field, i.e. airborne ultrasonic images at various ultrasonic frequencies: 120, 200, 225 and 300 kHz. The size of the images is 40 by 40 elements, with gray intensity level on 8 bits. The images are generated by a biomimetic sonar head, called ROVIBAT-05 (ROmanian VIrtual BAT). For each ultrasonic frequency, a pair of two images is generated, from the left and right sides. Later, the airborne multi-frequency ultrasonic images, in a single or combined paradigm of image fusion, enhance the performances of the detection and classification processes, of the targets, in navigation processes of mobile vehicles.
机译:空气传播的超声波频率图像在许多地区使用,例如,医药和工业,改变检测和故障检测。空气中的图像难以获得或管理,主要是因为空气的高吸收和衰减。这项工作提出了该领域的新结果,即在各种超声波频率下的空中超声图像:120,200,225和300 kHz。图像的大小为40乘40个元素,灰色强度级别为8位。图像由仿生声纳头生成,称为Rovibat-05(罗马尼亚虚拟BAT)。对于每个超声波频率,从左侧和右侧产生一对两个图像。后来,空气传播的多频超声图像,在单个或组合的图像融合范式中,在移动车辆的导航过程中提高目标的检测和分类过程的性能。

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