Deep Learning for Multi-View Ultrasonic Image Fusion

Pilikos, Georgios; Hörchens, Lars; Leeuwen, Tristan van; Lucka, Felix

doi:10.1109/ius52206.2021.9593507

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多探测模态认知计算1

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2023

2024

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Cited by 2 publications

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“…不同的扫查模式可产生多种数据采集影像, 能够反映散射体的不同几何信息. Pilikos 等 [123] 提出了一个端到端的深度学习框架, 该框架可将从两个不同视角获取的原始超声数据转化为底层分割图并进行数据融合, 促进了多视角超声数据信息互补. 多模态探测方式目前还存在诸多亟待解决的问题, 如超声波在面对较厚材质的物体时难以穿透, 成像效果就会降低.…”

Section: 多探测模态认知计算unclassified

涉水光学

Li¹

2024

Sci. Sin.-Inf.

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1) 含海洋光学, 水下光学.2) Vicinage earth, Vicinagearth. Vicinage 源于古法语/拉丁语的 visnage/vicinus('neighbor').IOP) 和表观光学特性 (apparent optical properties, AOP). 固有光学特性水体固有光学特性是自然水体本身的光学参数, 独立于环境光场. 常用的水体固有光学参量包括光谱吸收系数 (spectral absorption coefficient), 光谱散射系数 (spectral scattering coefficient), 光谱衰减系数 (spectral attenuation coefficient), 体散射函数 (volume scattering function), 后向散射系数 (backscatter coefficient), 前向散射系数 (forescatter coefficient), 光束衰减系数 (beam attenuation coefficient) 等.

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Section: 多探测模态认知计算unclassified